AImageLab publications export - 1140 publications

Saporita, A., Pipoli, V., Bolelli, F., Baraldi, L., Acquaviva, A., & Ficarra, E. (2026). FG-TRACER: Tracing Information Flow in Multimodal Large Language Models in Free-Form Generation. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://iris.unimore.it/handle/11380/1390068

Bertolani, T., Bucciarelli, D., Zini, L., Cornia, M., & Baraldi, L. (2026). Diffusion Language Models: An Experimental Analysis. Italian Conference on Computational Linguistics. https://iris.unimore.it/handle/11380/1413908

Gibertoni, G., Borghi, G., & Rovati, L. (2026). PopEYE - Infrared Ocular Image Dataset for Eye State and Gaze-Direction Classification. https://doi.org/10.5281/zenodo.18430186

Rossi, D., Filippini, G., Torlai, A., Borghi, G., & Vezzani, R. (2026). TakuNet: Energy-Efficient Models for Real-Time Aerial Disaster Response and Monitoring on Edge Devices. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2026.106151

Domenico, N. D., Franco, A., Borghi, G., & Maltoni, D. (2026). Quality-driven Adaptive Morphing Attack Detection in Operational Scenarios via Online Learning. IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/fg67764.2026.11556966

Lumetti, L., Di Bartolomeo, M., Pellacani, A., Anesi, A., Grana, C., & Bolelli, F. (2026). Ontology-Grounded Structured Prediction for Dental CBCT Reporting. International Conference on Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1411068

Catalini, R., Biagi, F., Salici, G., Borghi, G., Vezzani, R., & Biagiotti, L. (2026). LLMs and Humanoid Robot Diversity: The Pose Generation Challenge. International Conference on Social Robotics (ICSR+AI). https://doi.org/10.1007/978-981-95-2379-5_42

Catalini, R., Di Nucci, D., Borghi, G., Davoli, D., Garattoni, L., Francesca, G., Kawana, Y., & Vezzani, R. (2026). GazeD: Context-Aware Diffusion for Accurate 3D Gaze Estimation. International Conference on 3D Vision (3DV). https://doi.org/10.1109/3dv69130.2026.00078

Lugli, M., Mei, D. A., Imberti, J. F., Vitolo, M., Grana, C., Bolelli, F., & Boriani, G. (2026). Video-Based Remote Photoplethysmography for Atrial Fibrillation Detection: A Systematic Review. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2026.3744545

Vezzali, E., Bolelli, F., Grana, C., Benini, L., & Li, Y. (2026). Enabling 8B Bitwise Autoregressive Image Generation on Edge GPUs. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1400428

Millunzi, M. (2026). Apprendimento Continuo in Condizioni Rumorose e con Composizionalità. https://iris.unimore.it/handle/11380/1402948

Lobba, D., Sanguigni, F., Ren, B., Cornia, M., Cucchiara, R., & Sebe, N. (2026). Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off. European Conference on Computer Vision. https://iris.unimore.it/handle/11380/1413929

Salici, G., Köhler, S., Fiorina, A., Zannella, F., Porrello, A., & Calderara, S. (2026). Segment-wise Anomaly Detection via Compression Tokens in Industrial Production Lines. CINI National Conference on Artificial Intelligence (Ital-IA). https://iris.unimore.it/handle/11380/1409528

Zelelew, Y. A., Borghi, L., Marchesini, K., Lugli, M., Grana, C., & Bolelli, F. (2026). A Public Dataset for Tooth Segmentation in Multi-View Intraoral Photographs. Oral and Dental Image Analysis Workshop. https://iris.unimore.it/handle/11380/1416248

Bolelli, F., Santoli, D., Marchesini, K., Lumetti, L., & Grana, C. (2026). The paper has a GitHub, the GitHub has a README, the README has nothing: Reproducibility Signals for Review Support. International Conference on Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1405368

Grasso, M., Fidilio, A., L'Episcopo, F., Recupero, M., Barone, C., Lovino, M., Alboni, S., Bacalini, M. G., Caruso, G., Greco, D., Buono, S., De La Torre, R., Tascedda, F., Blom, J. M., Benatti, C., & Caraci, F. (2026). Searching for New Possible Peripheral Biomarkers of Cognitive Decline in Down Syndrome: The Role of IL-18 Pathway and its Interaction with TGF-β1 and TNF-α. NEUROMOLECULAR MEDICINE. https://doi.org/10.1007/s12017-025-08901-w

Ballotta, D., Casadio, C., Tondelli, M., Zanelli, V., Ricci, F., Carpentiero, O., Lui, F., Filippini, N., Chiari, A., Molinari, M. A., & Benuzzi, F. (2026). The olfactory functional network in the Alzheimer’s disease continuum: a resting state fMRI study. FRONTIERS IN AGING NEUROSCIENCE. https://doi.org/10.3389/fnagi.2025.1744413

Turri, E., Bucciarelli, D., Sarto, S., Baraldi, L., & Cornia, M. (2026). Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1418989

Morelli, N., Marchesini, K., Santi, D., Grana, C., & Bolelli, F. (2026). A New Multicenter Testicular US Dataset and a Lightweight Cond-UNet for Generalization in US Segmentation. The British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1416328

Barsellotti, L., Sundermeyer, M., Segu, M., Araslanov, N., Ferjad Naeem, M., Cornia, M., Xian, Y., & Berman, M. (2026). Segmenting, Fast and Slow: Real-Time Open-Vocabulary Video Instance Segmentation with Dual-Path Processing. European Conference on Computer Vision. https://iris.unimore.it/handle/11380/1413928

Porrello, A., Buzzega, P., Dangel, F., Sommariva, T., Salami, R., Bonicelli, L., & Calderara, S. (2026). Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature. The Fourteenth International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1401109

Salici, G., & Vezzani, R. (2026). Smarter Canes: Low-Cost Sensing for Step Counting and Self-Supervised Gait Assessment. IRIM-3D 2026 Roma, Italy 23. https://iris.unimore.it/handle/11380/1422348

Grasselli, M., Porrello, A., & Grazia, C. A. (2026). CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction. IEEE CCNC Las Vegas. https://iris.unimore.it/handle/11380/1393886

Testa, Z., Baraldi, L., Díaz-Rodríguez, N., & Furnari, A. (2026). SLU-2K: A Question-Based Benchmark for Semantic Evaluation of Sign Language Translation. European Conference on Computer Vision Workshops. https://iris.unimore.it/handle/11380/1416088

Lumetti, L., Tan, Z. Q., Borghi, L., Van Nistelrooij, N., Rosati, G., Addison, O., Li, Y., Vinayahalingam, S., Grana, C., & Bolelli, F. (2026). ToothFairy3: Scaling CBCT Maxillofacial Segmentation to 77 Classes with U-Mamba2. International Conference on Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1405369

Rossi, D., Borghi, G., & Vezzani, R. (2026). BoltNet: An Ultra-Lightweight Convolutional Network for On-Device Plant Species Identification. European Conference on Computer Vision Workshops Malmö. https://iris.unimore.it/handle/11380/1415808

Rinaldi, F., Panariello, A., Salici, G., Porrello, A., & Calderara, S. (2026). Transporting Task Vectors across Different Architectures without Training. International Conference on Machine Learning. https://iris.unimore.it/handle/11380/1407670

Mambelli, A., Bigoni, L., Dainese, D., Tutrone, F., Caffagni, D., Cocchi, F., Zanella, M., Cornia, M., & Cucchiara, R. (2026). The Biblical Heritage in Ancient Latin Christian Literature: Advancing Intertextual Mapping Through Sentence Embeddings. UMANISTICA DIGITALE. https://doi.org/10.60923/issn.2532-8816/22160

Baldrati, A., Morelli, D., Cornia, M., Bertini, M., & Cucchiara, R. (2026). Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://iris.unimore.it/handle/11380/1393548

Lumetti, L., Rizzo, F., Cremonini, F., Candeloro, E., Luca, L., Grana, C., & Bolelli, F. (2026). Do Multimodal LLMs Understand Intraoral Dental Data? Dataset, Platform, and Baselines. European Conference on Computer Vision -- ECCV 2026. https://iris.unimore.it/handle/11380/1412308

Del Gaudio, L., Cuculo, V., & Cucchiara, R. (2026). HyperMIL: Hypergraph-based channel reasoning for Multiple Instance Learning on Multivariate Time Series. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-032-31654-7_15

Del Gaudio, L., Cuculo, V., & Cucchiara, R. (2026). Decoding Facial Expressions in Video: A Multiple Instance Learning Perspective on Action Units. Workshops and competitions hosted by the 23rd International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-032-11317-7_6

Compagnoni, A., Morini, M., Sarto, S., Cocchi, F., Caffagni, D., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering. IEEE/CVF Conference on Computer Vision and Pattern Recognition Denver (CO). https://iris.unimore.it/handle/11380/1396973

Casari, G., Bolelli, F., & Grana, C. (2026). Histological Brain Imaging Super-resolution with Frequency-guided Diffusion Models. International Symposium on Biomedical Imaging. https://iris.unimore.it/handle/11380/1393628

Farooq Khan, F., Mohamed Bakr, E., Morelli, D., Cornia, M., Cucchiara, R., & Elhoseiny, M. (2026). Sketch2Stitch: GANs for Abstract Sketch-Based Dress Synthesis. IEEE/CVF Winter Conference on Applications of Computer Vision Tucson, Arizona. https://iris.unimore.it/handle/11380/1390288

Rinaldi, F., Panariello, A., Salici, G., Liu, F., Ciccone, M., Porrello, A., & Calderara, S. (2026). Gradient-sign Masking for Task Vector Transport Across Pre-Trained Models. The Fourteenth International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1396829

Veronese, A., Lugli, M., Carpentiero, O., Marchesini, K., Lumetti, L., & Bolelli, F. (2026). Landmark-Guided Coarse-to-Fine Registration of Intraoral Scans and Cone-Beam CT. Oral and Dental Image Analysis Workshop. https://iris.unimore.it/handle/11380/1416188

Sarto, S. (2026). Multimodal Understanding tramite Retrieval-Augmentation: dai Modelli alla Valutazione. https://iris.unimore.it/handle/11380/1400109

Boccignone, G., Cuculo, V., D'Amelio, A., Spicher, N., & Lee, J. (2026). Remote physiological measurement: Novel algorithms and application areas. BIOMEDICAL SIGNAL PROCESSING AND CONTROL. https://doi.org/10.1016/j.bspc.2026.110883

Bernardi, F., Torrejon, J., Basili, I., Van Ommeren, R., Marsaud, V., Yu, H., Talbot, J., Souphron, J., Indersie, E., Forget, A., Bonneau, B., Massiot, A., Alcazar, C., Figeac, L., Bonerandi, E., Cancila, G., Sirbu, O., Yadav, N., Mohanakrishnan, D., ... Agnihotri, S. (2026). Multiomic integration reveals tumoral heterogeneity of lipid dependence within lethal group 3 medulloblastoma. CANCER CELL. https://doi.org/10.1016/j.ccell.2025.12.012

Tanveer, W., Franco, A., Borghi, G., Fernández-Robles, L., & Fidalgo, E. (2026). Evaluating Age Estimation Robustness Under Realistic Facial Occlusions. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-032-31927-2_11

Pellegrini, L., Borghi, G., Franco, A., & Maltoni, D. (2026). Adaptive-LwF: continual training of morphing attack detector without forgetting. FRONTIERS IN IMAGING. https://doi.org/10.3389/fimag.2026.1817515

De Grandis, L., Cappelletti, S., Raccagni, W., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). DocAttriBench: Benchmarking Answer Grounding in Document Visual Question Answering. British Machine Vision Conference. https://iris.unimore.it/handle/11380/1415609

Caffagni, D., Compagnoni, A., Melis, F., Sarto, S., Luigi Dovesi, P., Granroth-Wilding, M., Cornia, M., & Baraldi, L. (2026). Mind the Heads: Topological Representation Alignment for Multimodal LLMs. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1418988

Cappelletti, S., Poppi, T., Poppi, S., Yong, Z., Garcia-Olano, D., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1400368

Zini, L., Frigieri, E., & Baraldi, L. (2026). A Scalable Vector Graphics Latent Space. European Conference on Computer Vision. https://iris.unimore.it/handle/11380/1415428

Ghezzi, O., D'Amelio, A., Cuculo, V., Cucchiara, R., & Boccignone, G. (2026). The Neural Race Model. The Fortieth Annual Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1418488

Raccagni, W., Rawal, N., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). ExplaiNavility: Interpretable Vision-and-Language Navigation with Reasoning Supervision. European Conference on Computer Vision Workshops. https://iris.unimore.it/handle/11380/1415608

Zaccagnino, C., Quattrini, F., Pippi, V., Cascianelli, S., Tonioni, A., & Cucchiara, R. (2026). Autoregressive Styled Text Image Generation, but Make it Reliable. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv61042.2026.00358

Bolelli, F., Lumetti, L., Van Nistelrooij, N., Vinayahalingam, S., Di Bartolomeo, M., Marchesini, K., Pellacani, A., Candeloro, E., Rosati, G., Xi, T., Isensee, F., Kirchhoff, Y., Krämer, L., Rokuss, M., Ulrich, C., Maier-Hein, K., Jiang, Y., Liu, Y., Wang, L., ... Grana, C. (2026). Multi-Structure Segmentation in CBCT Volumes: the ToothFairy2 Challenge. MEDICAL IMAGE ANALYSIS. https://doi.org/10.1016/j.media.2026.104095

Zaccagnino, C., Quattrini, F., Simsar, E., Tintoré Gazulla, M., Cucchiara, R., Tonioni, A., & Cascianelli, S. (2026). Shifting the Breaking Point of Flow Matching for Multi-Instance Editing. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1414430

Gallegos Carvajal, I. M., Portelli, B., Zini, L., Baraldi, L., & Serra, G. (2026). An In-Depth Survey on Multimodal Automatic Fact-Checking Datasets. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-026-21713-9

Pipoli, V., Saporita, A., Marchesini, K., Grana, C., Ficarra, E., & Bolelli, F. (2026). IM-Fuse: A Mamba-based Fusion Block for Brain Tumor Segmentation with Incomplete Modalities. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). https://doi.org/10.1007/978-3-032-04984-1_22

Van Nistelrooij, N., Krämer, L., Kempers, S., Beyer, M., Bolelli, F., Xi, T., Bergé, S., Heil, Max, Maier-Hein, K. H., Vinayahalingam, S., & Isensee, F. (2026). ToothSeg: Robust Tooth Instance Segmentation and Numbering in CBCT using Deep Learning and Self-Correction. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. https://doi.org/10.1109/JBHI.2025.3650444

Borghi, G. (2026). Perché tutti parlano di IA?
10 domande sull’Intelligenza Artificiale. https://iris.unimore.it/handle/11380/1418368

Zini, L., Frigieri, E., Aloscari, S., Generali, M., Dodi, L., Dosen, R., & Baraldi, L. (2026). SVGauge: Towards Human-Aligned Evaluation for SVG Generation. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-032-10185-3_15

D'Oronzio, F., Putamorsi, F., Zini, L., Cornia, M., & Baraldi, L. (2026). GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1400389

Talks, J., Marchesini, K., Lumetti, L., Bolelli, F., & Kreshuk, A. (2026). Unsupervised Source-Free Ranking of Biomedical Segmentation Models Under Distribution Shift. European Conference on Computer Vision -- ECCV 2026. https://iris.unimore.it/handle/11380/1412208

Casari, G., Candeloro, E., Gandolfi, D., Mapelli, J., Bolelli, F., & Grana, C. (2026). CALHippo: Cell Segmentation for Neuronal Density Inference in the Human Hippocampus. Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1411528

Ricci, F., Casadio, C., Zanelli, V., Carpentiero, O., Caselli, M., Nandi, A., Masino, F., Lui, F., & Benuzzi, F. (2026). Experience-dependent modulation of neural mechanisms underlying olfactory identification: preliminary evidence. Organization for Human Brain Mapping 2026 Bordeaux. https://iris.unimore.it/handle/11380/1410003

Marchesini, K., Carpentiero, O., Del Gaudio, L., Farioli, F., Cucchiara, R., Grana, C., Cuculo, V., & Bolelli, F. (2026). ReportX: The BraTS Clinical Report Dataset. International Conference on Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1411368

Bucciarelli, D., Turri, E., Baraldi, L., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). Tiny Inference-Time Scaling with Latent Verifiers. IEEE/CVF Conference on Computer Vision and Pattern Recognition Denver (CO). https://iris.unimore.it/handle/11380/1399768

Sommariva, T., Morandi, F., Calderara, S., & Porrello, A. (2026). Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic. International Conference on Machine Learning. https://iris.unimore.it/handle/11380/1410809

Caffagni, D., Cocchi, F., Mambelli, A., Tutrone, F., Zanella, M., Cornia, M., & Cucchiara, R. (2026). Generating Synthetic Data with Large Language Models for Low-Resource Sentence Retrieval. International Conference on Theory and Practice of Digital Libraries (TPDL). https://doi.org/10.1007/978-3-032-05409-8_4

Lobba, D., Sanguigni, F., Ren, B., Cornia, M., Cucchiara, R., & Sebe, N. (2026). Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals. International Conference on Learning Representations Rio de. https://iris.unimore.it/handle/11380/1396974

Panariello, A. (2026). Apprendere attraverso tempo, task e modelli: il trasferimento di conoscenza in sistemi in evoluzione. https://iris.unimore.it/handle/11380/1402269

Caffagni, D., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). Recurrence Meets Transformers for Universal Multimodal Retrieval. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/tpami.2026.3729293

Lumetti, L. (2026). Scalare l’Intelligenza Artificiale per l’Analisi di Immagini Orali e Dentali. https://iris.unimore.it/handle/11380/1402288

Simoni, A., Catalini, R., Di Nucci, D., Borghi, G., Davoli, D., Garattoni, L., Francesca, G., Kawana, Y., & Vezzani, R. (2026). SnapPose3D: Diffusion-Based Single-Frame 2D-to-3D Lifting of Human Poses. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-032-31654-7_17

Savarese, M., Zaccagnino, C., De Blasi, A., Salici, G., Cascianelli, S., Vezzani, R., & Grazia, C. A. (2026). A Workflow for Cost- and Time-Aware Refueling Itinerary Optimization. IEEE Consumer Communications & Networking Conference 2026. https://iris.unimore.it/handle/11380/1390192

Morandi, F., Moussadek, O., Venturini, F., Suardi, M., Banzatti, A., Cannarile, F., Porrello, A., & Calderara, S. (2026). Robust Zero-Shot Generalization for Open-Vocabulary Action Recognition via Task Arithmetic. International Conference On Advanced Visual And Signal-Based Systems. https://iris.unimore.it/handle/11380/1410810

Cartella, G., Cuculo, V., D'Amelio, A., Cucchiara, R., & Boccignone, G. (2026). Unravelling Neurodivergent Gaze Behaviour through Visual Attention Causal Graphs. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-032-10192-1_49

Miccolis, F., Lovino, M., Lehtonen, O., Hynninen, J., Hautaniemi, S., Virtanen, A., & Ficarra, E. (2026). PATHOS: Pathology attention framework for treatment response stratification in ovarian high-grade serous carcinomas following neoadjuvant chemotherapy on H&E images. JOURNAL OF PATHOLOGY INFORMATICS. https://doi.org/10.1016/j.jpi.2026.100545

Quattrini, F., Zaccagnino, C., Bianchi, C., Cascianelli, S., & Cucchiara, R. (2026). A Text Recognition Dataset from Sahidic Coptic Ancient Manuscripts. International Conference on Document Analysis and Recognition (ICDAR). https://doi.org/10.1007/978-3-032-36023-6_16

Capitani, G. (2026). Evoluzione della Conoscenza nell’Intelligenza Artificiale: Verso Reti Neurali Profonde Robuste e Modulari. https://iris.unimore.it/handle/11380/1400130

Poppi, T., Uzkent, B., Garg, A., Porto, L., Kessler, G., Yang, Y., Cornia, M., Baraldi, L., Cucchiara, R., & Schiffers, F. (2026). CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models. Conference on Empirical Methods in Natural Language Processing. https://iris.unimore.it/handle/11380/1416028

Brigante, G., Costantino, F., Bellelli, A., Boni, S., Furini, C., Cucchiara, R., & Simoni, M. (2026). The aporetic dialogs of Modena on gender differences: Is it all about testosterone? Episode III: Mathematics. ANDROLOGY. https://doi.org/10.1111/andr.70104

Borghi, G., Graffieti, G., & Vezzani, R. (2026). An Investigation on Incremental Learning from Unbalanced Streamed Data. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-032-10185-3_44

Saporita, A., Pipoli, V., Bolelli, F., Acquaviva, A., & Ficarra, E. (2026). PathoClass-BRCA: Reframing Pathology Report Generation as Guideline-Aligned Multi-Task Classification. The British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1417328

Cartella, G. (2026). Dall’ Attenzione Visiva Umana ai Modelli Computazionali: Predizione dello Scanpath e Applicazioni in Scenari Reali. https://iris.unimore.it/handle/11380/1414328

Domenico, N. D., Borghi, G., Franco, A., & Maltoni, D. (2026). Towards Fully Automated ISO/ICAO Face Compliance Verification via Prompt Learning. IEEE TRANSACTIONS ON BIOMETRICS, BEHAVIOR, AND IDENTITY SCIENCE. https://doi.org/10.1109/TBIOM.2026.3685805

Adani, E., Vasquez, S. S. V., Lovino, M., Bighinati, A., Cappellino, L., D'Alessandro, S., Kalatzis, V., & Marigo, V. (2026). Modulation of Aerobic Glycolysis Genes During the Progression of Retinitis Pigmentosa. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE. https://doi.org/10.1167/iovs.67.1.49

Nucci, D. D., Catalini, R., Borghi, G., & Vezzani, R. (2026). Fake3DGS: A Benchmark for 3D Manipulation Detection in Neural Rendering. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-032-31666-0_1

Menabue, M. (2026). Tecniche avanzate di Intelligenza Artificiale per l’apprendimento continuo e robusto su dati strutturati. https://iris.unimore.it/handle/11380/1402270

Quattrini, F., Zaccagnino, C., Simsar, E., Tintoré Gazulla, M., Cucchiara, R., Tonioni, A., & Cascianelli, S. (2026). Editing Everything Everywhere All at Once. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-032-36846-1_23

Milic, J., Pugliese, A., Belli, M., Lonardi, G. L., Ruffilli, C., Albano, T., Visicaro, M., Ricciardetto, M., Cosmo, P. D., Mussi, C., Gandolfi, F., Mussini, C., Grana, C., & Guaraldi, G. (2026). A multidisciplinary, AI‐supported quality improvement intervention to manage polypharmacy in aging people with HIV. HIV MEDICINE. https://doi.org/10.1111/hiv.70234

Millunzi, M., Bonicelli, L., Porrello, A., Credi, J., Kolm, P. N., & Calderara, S. (2026). EARL: Embracing amnesic replay for learning with noisy labels. PATTERN RECOGNITION. https://doi.org/10.1016/j.patcog.2026.113514

Pianfetti, E. (2026). Approcci di Deep Learning per l’Analisi di Immagini di Microscopia a Fluorescenza Confocale e l’Ottimizzazione dei Protocolli Sperimentali. https://iris.unimore.it/handle/11380/1402950

Vezzali, E. (2026). Metodi di Deep Learning Efficienti e Adattivi per Sistemi di Automatic Data Capture. https://iris.unimore.it/handle/11380/1402953

Moussadek, O., Salami, R., & Calderara, S. (2026). DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning. Workshops and competitions hosted by the 23rd International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-032-11381-8_15

Mattioli, G., Turri, E., Sarto, S., Baraldi, L., Cornia, M., Baraldi, L., & Cucchiara, R. (2026). RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1400388

Benaglia, R., Porrello, A., Buzzega, P., Calderara, S., & Cucchiara, R. (2025). Trajectory Forecasting Through Low-Rank Adaptation of Discrete Latent Codes. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78444-6_16

Porrello, A., Bonicelli, L., Buzzega, P., Millunzi, M., Calderara, S., & Cucchiara, R. (2025). A Second-Order Perspective on Model Compositionality and Incremental Learning. International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1379908

Garuti, F., Sangineto, E., Luetto, S., Forni, L., & Cucchiara, R. (2025). Diffusion Transformers for Tabular Data Time Series Generation. International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1370852

Lumetti, L., Pipoli, V., Bolelli, F., Ficarra, E., & Grana, C. (2025). Location Matters: Harnessing Spatial Information to Enhance the Segmentation of the Inferior Alveolar Canal in CBCTs. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78104-9_8

Lumetti, L., Capitani, G., Ficarra, E., Grana, C., Calderara, S., Porrello, A., & Bolelli, F. (2025). U-Net Transplant: The Role of Pre-training for Model Merging in 3D Medical Segmentation. International Conference on Medical Image Computing and Computer Assisted Intervention. https://iris.unimore.it/handle/11380/1380716

Fincato, M., & Vezzani, R. (2025). DualPose: Dual-Block Transformer Decoder with Contrastive Denoising for Multi-Person Pose Estimation. SENSORS. https://doi.org/10.3390/s25102997

Bolelli, F., Lumetti, L., Vinayahalingam, S., Di Bartolomeo, M., Pellacani, A., Marchesini, K., Van Nistelrooij, N., Van Lierop, P., Xi, T., Liu, Y., Xin, R., Yang, T., Wang, L., Wang, H., Xu, C., Cui, Z., Wodzinski, M. M., Müller, H., Kirchhoff, Y., ... Grana, C. (2025). Segmenting the Inferior Alveolar Canal in CBCT Volumes: the ToothFairy Challenge. IEEE TRANSACTIONS ON MEDICAL IMAGING. https://doi.org/10.1109/TMI.2024.3523096

Salami, R., Buzzega, P., Mosconi, M., Bonato, J., Sabetta, L., & Calderara, S. (2025). CLOSED-FORM MERGING OF PARAMETER-EFFICIENT MODULES FOR FEDERATED CONTINUAL LEARNING. International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1396708

Zini, L., Frigieri, E., Aloscari, S., & Baraldi, L. (2025). vHector and HeisenVec: Scalable Vector Graphics Generation Through Large Language Models. Neural Information Processing Systems San Diego. https://iris.unimore.it/handle/11380/1387068

Cocchi, F., Moratelli, N., Cornia, M., Baraldi, L., & Cucchiara, R. (2025). Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering. Conference on Computer Vision and Pattern Recognition-CVPR Nashville, TN. https://doi.org/10.1109/CVPR52734.2025.00859

Borghi, G., Franco, A., Di Domenico, N., & Maltoni, D. (2025). TONO: A Synthetic Dataset for Face Image Compliance to ISO/ICAO Standard. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-91907-7_1

Vezzali, E., Bolelli, F., Santi, S., & Grana, C. (2025). BarBeR - Barcode Benchmark Repository: Implementation and Reproducibility Notes. International Workshop on Reproducible Research in Pattern Recognition (RRPR). https://iris.unimore.it/handle/11380/1366110

Sarto, S., Cornia, M., & Cucchiara, R. (2025). Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives. Internationa Joint Conference on Artificial Intelligence (IJCAI). https://doi.org/10.24963/ijcai.2025/1180

Parascandolo, F., Moratelli, N., Sangineto, E., Baraldi, L., & Cucchiara, R. (2025). Causal Graphical Models for Vision-Language Compositional Understanding. International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1370569

Rawal, N., Xia, M., Tessaro, D., Baraldi, L., & Cucchiara, R. (2025). MATE: Multimodal Agent that Talks and Empathizes. International Conference on Image Analysis and Processing. https://iris.unimore.it/handle/11380/1380553

Cappellino, C., Mancusi, G., Mosconi, M., Porrello, A., Calderara, S., & Cucchiara, R. (2025). DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1391170

Saporita, A., Pipoli, V., Bolelli, F., Baraldi, L., Acquaviva, A., & Ficarra, E. (2025). Tracing Information Flow in LLaMA Vision: A Step Toward Multimodal Understanding. International Conference in Computer Analysis of Images and Patterns Las Palmas de Gran. https://iris.unimore.it/handle/11380/1383028

Di Domenico, N., Borghi, G., Franco, A., & Maltoni, D. (2025). Improving Accomplice Detection in the Morphing Attack. MACHINE INTELLIGENCE RESEARCH. https://doi.org/10.1007/s11633-024-1533-1

Bolelli, F., Lumetti, L., Marchesini, K., Candeloro, E., & Grana, C. (2025). Investigating the ABCDE Rule in Convolutional Neural Networks. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78201-5_7

Cocchi, F., Moratelli, N., Caffagni, D., Sarto, S., Baraldi, L., Cornia, M., & Cucchiara, R. (2025). LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning. IEEE/CVF International Conference on Computer Vision Workshops Honolulu, Hawaii. https://iris.unimore.it/handle/11380/1387168

Pipoli, V., Saporita, A., Bolelli, F., Cornia, M., Baraldi, L., Grana, C., Cucchiara, R., & Ficarra, E. (2025). MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models. IEEE/CVF International Conference on Computer Vision Honolulu, Hawaii. https://iris.unimore.it/handle/11380/1381191

Miccolis, F., Lovino, M., & Ficarra, E. (2025). A Benchmark Study of Gene Fusion Prioritization Tools. International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB). https://doi.org/10.1007/978-3-031-90714-2_15

Perliti Scorzoni, P., Giovanetti, A., Bolelli, F., & Grana, C. (2025). Machine Learning-Based Prediction of Emergency Department Prolonged Length of Stay: A Case Study from Italy. International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems (IHSI). https://doi.org/10.54941/ahfe1005823

Capitani, G., Bonicelli, L., Porrello, A., Bolelli, F., Calderara, S., & Ficarra, E. (2025). Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV61041.2025.00251

Quattrini, F., Pippi, V., Cascianelli, S., & Cucchiara, R. (2025). Alfie: Democratising RGBA image generation with no $$$. Workshops that were held in conjunction with the 18th European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-92808-6_3

Pippi, V., Quattrini, F., Cascianelli, S., Tonioni, A., & Cucchiara, R. (2025). Zero-Shot Styled Text Image Generation, but Make It Autoregressive. Conference on Computer Vision and Pattern Recognition-CVPR Nashville (TN). https://doi.org/10.1109/CVPR52734.2025.00741

Spathis, G., Di Domenico, N., Borghi, G., Franco, A., & Maltoni, D. (2025). AMONOT: Synthetic Aging for Differential Morphing Attack Detection Systems. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-87660-8_26

Corso, G., Miccolis, F., Porrello, A., Bolelli, F., Calderara, S., & Ficarra, E. (2025). Context-guided Prompt Learning for Continual WSI Classification. Computational Pathology and MultimodaL Data,MICCAI Workshop. https://iris.unimore.it/handle/11380/1384608

Sarto, S., Moratelli, N., Cornia, M., Baraldi, L., & Cucchiara, R. (2025). Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training. INTERNATIONAL JOURNAL OF COMPUTER VISION. https://doi.org/10.1007/s11263-025-02535-y

Vezzali, E., Vorabbi, L., Grana, C., & Bolelli, F. (2025). A Deep-Learning-Based Method for Real-Time Barcode Segmentation on Edge CPUs. International Conference in Computer Analysis of Images and Patterns Las Palmas de Gran. https://iris.unimore.it/handle/11380/1379508

Cartella, G., Cuculo, V., Cornia, M., Papasidero, M., Ruozzi, F., & Cucchiara, R. (2025). Pixels of Faith: Exploiting Visual Saliency to Detect Religious Image Manipulation. Workshops that were held in conjunction with the 18th European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-91572-7_14

Rossi, D., Borghi, G., & Vezzani, R. (2025). TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). https://doi.org/10.1109/WACVW65960.2025.00044

Caffagni, D., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2025). Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52734.2025.00867

Fiorini, C., Mosconi, M., Buzzega, P., Salami, R., & Calderara, S. (2025). Intrinsic Training Signals for Federated Learning Aggregation. International Conference on Image Analysis and Processing Roma. https://iris.unimore.it/handle/11380/1387108

Quattrini, F., Pippi, V., Cascianelli, S., & Cucchiara, R. (2025). Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-72986-7_14

Pianfetti, E., Cardamone, D., Roscioli, E., Ciano, G., Maccari, G., Sala, C., Micoli, F., Rappuoli, R., Medini, D., & Ficarra, E. (2025). Deep Learning for Classifying Anti-Shigella Opsono- Phagocytosis-Promoting Monoclonal Antibodies. International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis (MOVI). https://doi.org/10.1007/978-3-031-77786-8_3

Tremoco, J., Medvedev, I., Freitas, N., Costa, A., Nunes, D., Bunzel, N., Graner, L., Goller, N., Pellegrini, L., Di Domenico, N., Borghi, G., Verghese, M., Bhilare, S., Hati, A., Lourenco, M., & Goncalves, N. (2025). Adversarial Attack Challenge for Secure Face Recognition 2025. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/IJCB65343.2025.11411446

Panariello, A., Marczak, D., Magistri, S., Porrello, A., Twardowski, B., D Bagdanov, A., Calderara, S., & Van De Weijer, J. (2025). Accurate and Efficient Low-Rank Model Merging in Core Space. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1391169

Amoroso, R., Zhang, G., Koner, R., Baraldi, L., Cucchiara, R., & Tresp, V. (2025). Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV61041.2025.00858

Filippini, G., Borghi, G., Giliberti, E., Damiani, P., & Vezzani, R. (2025). AURALYS: smart glasses to improve audio selection and perception in educational and working contexts. International Workshop on AI in Society, Education and Educational Research (AISEER). https://iris.unimore.it/handle/11380/1393168

Perliti Scorzoni, P., Giovanetti, A., Bolelli, F., & Grana, C. (2025). Optimizing Resource Allocation in Public Healthcare: A Machine Learning Approach for Length-of-Stay Prediction. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-87660-8_1

Bertoli, A., & Fantuzzi, C. (2025). Empowering the Operator: Fault Diagnosis and Identification in an Industrial Environment Through a User-Friendly IoT Architecture. COMPUTERS. https://doi.org/10.3390/computers14090349

Menabue, M., Frascaroli, E., Boschini, M., Sangineto, E., Bonicelli, L., Porrello, A., & Calderara, S. (2025). Semantic Residual Prompts for Continual Learning. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-73030-6_1

Menabue, M., Frascaroli, E., Boschini, M., Bonicelli, L., Porrello, A., & Calderara, S. (2025). An Attention-Based Representation Distillation Baseline for Multi-label Continual Learning. Conference on Machine Learning Optimization and Data Science-LOD 2024 Castiglione della. https://doi.org/10.1007/978-3-031-82481-4_15

Bolelli, F., Marchesini, K., Van Nistelrooij, N., Lumetti, L., Pipoli, V., Ficarra, E., Vinayahalingam, S., & Grana, C. (2025). Segmenting Maxillofacial Structures in CBCT Volumes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52734.2025.00494

Rawal, N., Baraldi, L., & Cucchiara, R. (2025). AIGeN-Llama: An Adversarial Approach for Instruction Generation in VLN using Llama2 Model. Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL). https://iris.unimore.it/handle/11380/1371208

Catalini, R., Salici, G., Biagi, F., Borghi, G., Biagiotti, L., & Vezzani, R. (2025). LLMs as NAO Robot 3D Motion Planners. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). https://iris.unimore.it/handle/11380/1384296

Elatfi, O., Domenico, N. D., Borghi, G., Franco, A., & Maltoni, D. (2025). BioGaze: a Framework for Evaluating the Photographic Requirements of the ISO/IEC 39794-5 Standard. IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/fg61629.2025.11099423

Domenico, N. D., Borghi, G., Franco, A., & Maltoni, D. (2025). Towards Zero-Shot ISO/ICAO Face Compliance Verification via CLIP-IQA and Natural Language Prompting. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/ijcb65343.2025.11410834

Rawal, N., Singh Maharjan, R., Salici, G., Catalini, R., Romeo, M., Bigazzi, R., Baraldi, L., Vezzani, R., Cucchiara, R., & Cangelosi, A. (2025). Multimodal Dialogue for Empathetic Human-Robot Interaction. International Conference on Social Robotics. https://iris.unimore.it/handle/11380/1384168

Sanguigni, F., Morelli, D., Cornia, M., & Cucchiara, R. (2025). Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation. International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN64981.2025.11229186

Borghi, L., Lumetti, L., Cremonini, F., Rizzo, F., Grana, C., Lombardo, L., & Bolelli, F. (2025). Bits2Bites: Intra-oral Scans Occlusal Classification. Oral and Dental Image Analysis Workshop Daejeon, South Korea 27. https://iris.unimore.it/handle/11380/1392748

Poppi, T., Kasarla, T., Mettes, P., Baraldi, L., & Cucchiara, R. (2025). Hyperbolic Safety-Aware Vision-Language Models. Conference on Computer Vision and Pattern Recognition-CVPR Nashville TN. https://doi.org/10.1109/CVPR52734.2025.00399

Singh Maharjan, R., Rawal, N., Romeo, M., Baraldi, L., Cucchiara, R., & Cangelosi, A. (2025). Multimodal Emotion Recognition in Conversation via Possible Speaker's Audio and Visual Sequence Selection. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). https://doi.org/10.1109/ICASSP49660.2025.10888172

Lumetti, L., Pipoli, V., Marchesini, K., Ficarra, E., Grana, C., & Bolelli, F. (2025). Accurate 3D Medical Image Segmentation with Mambas. IEEE International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBI60581.2025.10981167

Burger, J., Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2025). ECoGNet: an EEG-based Effective Connectivity Graph Neural Network for Brain Disorder Detection. International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN64981.2025.11228047

Luetto, S., Garuti, F., Sangineto, E., Forni, L., & Cucchiara, R. (2025). One transformer for all time series: representing and training with time-dependent heterogeneous tabular data. MACHINE LEARNING. https://doi.org/10.1007/s10994-025-06778-1

Baraldi, L., Bucciarelli, D., Betti, F., Cornia, M., Baraldi, L., Sebe, N., & Cucchiara, R. (2025). What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models. IEEE/CVF International Conference on Computer Vision Honolulu, Hawaii. https://iris.unimore.it/handle/11380/1381189

Barsellotti, L., Bianchi, L., Messina, N., Carrara, F., Cornia, M., Baraldi, L., Falchi, F., & Cucchiara, R. (2025). Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation. IEEE/CVF International Conference on Computer Vision Honolulu, Hawaii. https://iris.unimore.it/handle/11380/1381190

Panariello, A., Frascaroli, E., Buzzega, P., Bonicelli, L., Porrello, A., & Calderara, S. (2025). Modular embedding recomposition for incremental learning. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1391172

Bertoli, A., Nini, M., Cibrario, V., Vargas, M., Perona, P., Rossi, L., Benedetti, L., Nicolinti, A., & Fantuzzi, C. (2025). Leveraging Digital Twin Technology with a Human-Centered Approach to Automate a Workstation in the Logistics Sector of Made in Italy: CHIMAR Use Case. MACHINES. https://doi.org/10.3390/machines13040303

Pipoli, V., Bolelli, F., Sarto, S., Cornia, M., Baraldi, L., Grana, C., Cucchiara, R., & Ficarra, E. (2025). Semantically Conditioned Prompts for Visual Recognition under Missing Modality Scenarios. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV61041.2025.00486

Miccolis, F., Marinelli, F., Pipoli, V., Afenteva, D., Virtanen, A., Lovino, M., & Ficarra, E. (2025). OXA-MISS: A Robust Multimodal Architecture for Chemotherapy Response Prediction under Data Scarcity. INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION. https://iris.unimore.it/handle/11380/1389572

Mosconi, M., Sorokin, A., Panariello, A., Porrello, A., Bonato, J., Cotogni, M., Sabetta, L., Calderara, S., & Cucchiara, R. (2025). Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78189-6_1

Vezzali, E., Bolelli, F., Santi, S., & Grana, C. (2025). State-of-the-art Review and Benchmarking of Barcode Localization Methods. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. https://doi.org/10.1016/j.engappai.2025.110259

Morelli, N., Marchesini, K., Lumetti, L., Santi, D., Grana, C., & Bolelli, F. (2025). Enhancing Testicular Ultrasound Image Classification Through Synthetic Data and Pretraining Strategies. International Conference on Image Analysis and Processing. https://iris.unimore.it/handle/11380/1381588

Cartella, G., Cuculo, V., D'Amelio, A., Cornia, M., Boccignone, G., & Cucchiara, R. (2025). Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction. IEEE/CVF International Conference on Computer Vision Honolulu, Hawaii. https://doi.org/10.1109/ICCV51701.2025.01504

Di Domenico, N., Borghi, G., Franco, A., Boschetti, M., Giacomini, F., Barzaghi, S., Ferucci, S., Zambruno, S., Mularoni, L., Gao, Q., Che, C., Li, G., Zu, Y., Hao, J., Zhang, J., Ducz, A., Gego, L., Imeri, K., Nemkin, V., ... Rowan, W. (2025). San Vitale Challenge: Automatic Reconstruction of Ancient Colored Glass Windows. European Conference on Computer Vision Workshops Milan. https://doi.org/10.1007/978-3-031-91572-7_16

Grossi, G., Boccignone, G., Conte, D., Cuculo, V., D'Amelio, A., & Lanzarotti, R. (2025). Enhancing rPPG Pulse-Signal Recovery by Facial Sampling and PSD Clustering. BIOMEDICAL SIGNAL PROCESSING AND CONTROL. https://doi.org/10.1016/j.bspc.2024.107158

Maharjan, R. S., Bonicelli, L., Romeo, M., Calderara, S., Cangelosi, A., & Cucchiara, R. (2025). Continual Facial Features Transfer for Facial Expression Recognition. IEEE TRANSACTIONS ON AFFECTIVE COMPUTING. https://doi.org/10.1109/TAFFC.2025.3561139

Vanherle, B., Pippi, V., Cascianelli, S., Michiels, N., Van Reeth, F., & Cucchiara, R. (2025). VATr++: Choose Your Words Wisely for Handwritten Text Generation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2024.3481154

Quattrini, F., Zaccagnino, C., Cascianelli, S., Righi, L., & Cucchiara, R. (2025). μgat: Improving Single-Page Document Parsing by Providing Multi-page Context. Workshops that were held in conjunction with the 18th European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-91572-7_13

Nikolaidou, K., Retsinas, G., Sfikas, G., Cascianelli, S., Cucchiara, R., & Liwicki, M. (2025). Dual Orthogonal Guidance for Robust Diffusion-Based Handwritten Text Generation. IEEE/CVF International Conference on Computer Vision Workshops (ICCV-W). https://doi.org/10.1109/iccvw69036.2025.00725

Vezzali, E., Vorabbi, L., Grana, C., & Bolelli, F. (2025). Mosaic-SR: An Adaptive Multi-step Super-Resolution Method for Low-Resolution 2D Barcodes. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP55913.2025.11084637

Cartella, G., Cuculo, V., Cornia, M., Papasidero, M., Ruozzi, F., & Cucchiara, R. (2025). Sanctuaria-Gaze: A Multimodal Egocentric Dataset for Human Attention Analysis in Religious Sites. ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE. https://doi.org/10.1145/3769091

Xing, S., Peruzzo, E., Sangineto, E., & Sebe, N. (2025). From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78189-6_25

Bellameche, F., Modica, F., Cortiello, M., Costi, E., Riccioni, C., De Marchis, F., Rubini, A., Belfiori, B., Bellucci, M., Brilli, L., Sberveglieri, V., Lovino, M., Núñez-Carmona, E., & Giovanardi, D. (2025). Root colonization pattern of Pseudomonas spp. strains: a key step in the biocontrol of soilborne pathogens in hops. JOURNAL OF PLANT PATHOLOGY. https://doi.org/10.1007/s42161-025-02022-w

Caffagni, D., Cornia, M., Baraldi, L., & Cucchiara, R. (2025). Augmenting and Mixing Transformers with Synthetic Data for Image Captioning. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2025.105661

Lumetti, L., Marchesini, K., Pipoli, V., Ficarra, E., Grana, C., & Bolelli, F. (2025). Taming Mambas for 3D Medical Image Segmentation. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2025.3570461

Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., Qu, C., Zhang, T., Chen, X., Li, W., Wodzinski, M. M., Friedrich, P., Xie, K., Jin, Y., Ambigapathy, N., Nasca, E., Solak, N., Melito Gian, M., Duc Vu, V., ... Salehi, H. (2025). MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision. BIOMEDIZINISCHE TECHNIK. https://doi.org/10.1515/bmt-2024-0396

Bertoli, A. (2025). Architettura Software IoT per la Diagnosi e Identificazione dei Guasti a Misura d'Uomo. https://iris.unimore.it/handle/11380/1376069

Sommariva, T., Calderara, S., & Porrello, A. (2025). How to Train Your Metamorphic Deep Neural Network. International Conference on Image Analysis and Processing Rome (Italy). https://iris.unimore.it/handle/11380/1391171

Di Nucci, D., Tomei, M., Borghi, G., Ciuffreda, L., Vezzani, R., & Cucchiara, R. (2025). BRUM: Robust 3D Vehicle Reconstruction from 360° Sparse Images. IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/iv64158.2025.11097621

Baraldi, L., Bucciarelli, D., Zeng, Z., Zhang, C., Zhang, Q., Cornia, M., Baraldi, L., Liu, F., Hu, Z., & Cucchiara, R. (2025). Verifier Matters: Enhancing Inference-Time Scaling for Video Diffusion Models. British Machine Vision Conference Sheffield, UK 24th - 27th. https://iris.unimore.it/handle/11380/1383749

Simoni, A., Marchetti, F., Borghi, G., Becattini, F., Seidenari, L., Vezzani, R., & Del Bimbo, A. (2025). 3D Pose Nowcasting: Forecast the future to improve the present. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2024.104233

Panariello, A., Mancusi, G., Haj Ali, F., Porrello, A., Calderara, S., & Cucchiara, R. (2025). Monocular per-object distance estimation with Masked Object Modeling. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2025.104303

Savarese, M., De Blasi, A., Zaccagnino, C., Salici, G., Cascianelli, S., Vezzani, R., & Grazia, C. A. (2025). RI-PIENO - Revised and Improved Petrol-Filling Itinerary Estimation aNd Optimization. IEEE Consumer Communications & Networking Conference 2026. https://doi.org/10.1109/CCNC65079.2026.11366496

Baraldi, L., Amoroso, R., Cornia, M., Pilzer, A., & Cucchiara, R. (2025). Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2025.104294

Caffagni, D., Cocchi, F., Mambelli, A., Tutrone, F., Zanella, M., Cornia, M., & Cucchiara, R. (2025). Benchmarking BERT-based Models for Latin: A Case Study on Biblical References in Ancient Christian Literature. Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL). https://iris.unimore.it/handle/11380/1371269

Boccignone, G., Cuculo, V., D'Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2025). Remote Respiration Measurement with RGB Cameras: A Review and Benchmark. ACM COMPUTING SURVEYS. https://doi.org/10.1145/3771763

D'Amelio, A., Cartella, G., Cuculo, V., Lucchi, M., Cornia, M., Cucchiara, R., & Boccignone, G. (2025). TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV61041.2025.00851

Rinaldi, F., Capitani, G., Bonicelli, L., Crisostomi, D., Bolelli, F., Rodolà, E., Ficarra, E., Calderara, S., & Porrello, A. (2025). Update Your Transformer to the Latest Release: Re-Basin of Task Vectors. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1377131

Carpentiero, O., Marchesini, K., Grana, C., & Bolelli, F. (2025). No More Slice Wars: Towards Harmonized Brain MRI Synthesis for the BraSyn Challenge. BraTS 2025 Lighthouse Challenge,MICCAI Workshop. https://iris.unimore.it/handle/11380/1387848

Miccolis, F., Riccomi, O., Lovino, M., & Ficarra, E. (2025). Impact of Embedding Methods on Weakly Supervised Lymph Node Classification with MIL on the Camelyon16 Dataset. Conference on Computational Intelligence methods for Bioinformatics and Biostatistics Milano. https://iris.unimore.it/handle/11380/1390234

Pippi, V., Nikolaidou, K., Cascianelli, S., Retsinas, G., Sfikas, G., Cucchiara, R., & Liwicki, M. (2025). Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?. IEEE/CVF International Conference on Computer Vision Workshops (ICCV-W). https://doi.org/10.1109/iccvw69036.2025.00775

Compagnoni, A., Caffagni, D., Moratelli, N., Baraldi, L., Cornia, M., & Cucchiara, R. (2025). Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization. British Machine Vision Conference Sheffield, UK 24th - 27th. https://iris.unimore.it/handle/11380/1383748

Betti, F., Baraldi, L., Baraldi, L., Cucchiara, R., & Sebe, N. (2025). Hallucination Early Detection in Diffusion Models. INTERNATIONAL JOURNAL OF COMPUTER VISION. https://iris.unimore.it/handle/11380/1389669

Simoni, A., Marchetti, F., Borghi, G., Becattini, F., Davoli, D., Garattoni, L., Francesca, G., Seidenari, L., & Vezzani, R. (2025). Depth-Based Privileged Information for Boosting 3D Human Pose Estimation on RGB. European Conference on Computer Vision Workshops Milan. https://doi.org/10.1007/978-3-031-91575-8_12

Bolelli, F., Lumetti, L., Vinayahalingam, S., Di Bartolomeo, M., Van Nistelrooij, N., Marchesini, K., Anesi, A., & Grana, C. (2025). ToothFairy 2024 Preface. https://iris.unimore.it/handle/11380/1380993

Carbonaro, A., Giorgetti, L., Ridolfi, L., Pasolini, R., Pagliarani, A., Cavallucci, M., Andalò, A., Del Gaudio, L., De Angelis, P., Vespignani, R., & Gentili, N. (2025). From raw data to research-ready: A FHIR-based transformation pipeline in a real-world oncology setting. COMPUTERS IN BIOLOGY AND MEDICINE. https://doi.org/10.1016/j.compbiomed.2025.111051

Corso, G., Lovino, M., Akpinar, R., Di Tommaso, L., Ficarra, E., & Ranzini, M. (2025). Foundation Models for Hepatocellular Carcinoma: Challenges in Generalization under Data Scarcity. International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN64981.2025.11228716

Vezzali, E., Bolelli, F., Santi, S., & Grana, C. (2025). BarBeR: A Barcode Benchmarking Repository. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-031-78447-7_13

Vorabbi, L., Carraggi, A., Maltoni, D., Borghi, G., & Santi, S. (2025). Towards on-device continual learning with Binary Neural Networks in industrial scenarios. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2025.105524

Cartella, G., Cuculo, V., Cornia, M., & Cucchiara, R. (2024). Unveiling the Truth: Exploring Human Gaze Patterns in Fake Images. IEEE SIGNAL PROCESSING LETTERS. https://doi.org/10.1109/LSP.2024.3375288

Gibertoni, G., Borghi, G., & Rovati, L. (2024). Compact High-Resolution Multi-Wavelength LED Light Source for Eye Stimulation. ELECTRONICS. https://doi.org/10.3390/electronics13061127

Frascaroli, E., Benaglia, R., Boschini, M., Moschella, L., Fiorini, C., Rodolà, E., & Calderara, S. (2024). Latent spectral regularization for continual learning. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2024.06.020

Poppi, S., Poppi, T., Cocchi, F., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models. European Conference on Computer Vision Milan. https://iris.unimore.it/handle/11380/1344346

Caffagni, D., Cocchi, F., Moratelli, N., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW63382.2024.00188

Dreo, J., Lobentanzer, S., Gaydukova, E., Baric, M., Maarala, I., Muranen, T., Oikkonen, J., Bolelli, F., Pipoli, V., Isoviita, V., Hynninen, J., & Schwikowski, B. (2024). High-level Biomedical Data Integration in a Semantic Knowledge Graph with OncodashKB for finding Personalized Actionable Drugs in Ovarian Cancer. Cancer Genomics,Multiomics and Computational Biology. https://iris.unimore.it/handle/11380/1340348

Rawal, N., Maharjan, R. S., Romeo, M., Bigazzi, R., Baraldi, L., Cucchiara, R., & Cangelosi, A. (2024). Intelligent Multimodal Artificial Agents that Talk and Express Emotions. International Workshop on Human-Friendly Robotics Lugano 30. https://iris.unimore.it/handle/11380/1350726

Di Domenico, N., Borghi, G., Franco, A., & Maltoni, D. (2024). ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset. IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/FG59268.2024.10581986

Rausio, H., Cervera, A., Heuser, V. D., West, G., Oikkonen, J., Pianfetti, E., Lovino, M., Ficarra, E., Taimen, P., Hynninen, J., Lehtonen, R., Hautaniemi, S., Carpen, O., & Huhtinen, K. (2024). PIK3R1 fusion drives chemoresistance in ovarian cancer by activating ERK1/2 and inducing rod and ring-like structures. NEOPLASIA. https://doi.org/10.1016/j.neo.2024.100987

Rosati, G., Marchesini, K., Lumetti, L., Sartori, F., Balboni, B., Begarani, F., Vescovi, L., Bolelli, F., & Grana, C. (2024). Identifying Impurities in Liquids of Pharmaceutical Vials. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1350788

Bellitto, G., Proietto Salanitri, F., Pennisi, M., Boschini, M., Bonicelli, L., Porrello, A., Calderara, S., Palazzo, S., & Spampinato, C. (2024). Saliency-driven Experience Replay for Continual Learning. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1364433

Baraldi, L., Cocchi, F., Cornia, M., Baraldi, L., Nicolosi, A., & Cucchiara, R. (2024). Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities. European Conference on Computer Vision Milan. https://iris.unimore.it/handle/11380/1344347

Lumetti, L., Pipoli, V., Bolelli, F., Ficarra, E., & Grana, C. (2024). Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2024.3408629

Millunzi, M., Bonicelli, L., Porrello, A., Credi, J., Kolm, P. N., & Calderara, S. (2024). May the Forgetting Be with You: Alternate Replay for Learning with Noisy Labels. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1354247

Frascaroli, E., Panariello, A., Buzzega, P., Bonicelli, L., Porrello, A., & Calderara, S. (2024). CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1353589

Barsellotti, L., Amoroso, R., Baraldi, L., & Cucchiara, R. (2024). FOSSIL: Free Open-Vocabulary Semantic Segmentation through Synthetic References Retrieval. IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV57701.2024.00149

Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues. European Conference on Computer Vision Milan. https://iris.unimore.it/handle/11380/1344348

Rawal, N., Bigazzi, R., Baraldi, L., & Cucchiara, R. (2024). AIGeN: An Adversarial Approach for Instruction Generation in VLN. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW63382.2024.00212

Savarese, M., De Blasi, A., Zaccagnino, C., & Grazia, C. A. (2024). P. I. E. N. O.—Petrol-Filling Itinerary Estimation aNd Optimization. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2024.3483959

Bontempo, G., Bolelli, F., Porrello, A., Calderara, S., & Ficarra, E. (2024). A Graph-Based Multi-Scale Approach with Knowledge Distillation for WSI Classification. IEEE TRANSACTIONS ON MEDICAL IMAGING. https://doi.org/10.1109/TMI.2023.3337549

Di Nucci, D., Simoni, A., Tomei, M., Ciuffreda, L., Vezzani, R., & Cucchiara, R. (2024). KRONC: Keypoint-based Robust Camera Optimization for 3D Car Reconstruction. 50SFM - ECCV '24 Workshop Milan. https://iris.unimore.it/handle/11380/1372271

Caffagni, D., Cocchi, F., Barsellotti, L., Moratelli, N., Sarto, S., Baraldi, L., Baraldi, L., Cornia, M., & Cucchiara, R. (2024). The Revolution of Multimodal Large Language Models: A Survey. Annual Meeting of the Association-for-Computational-Linguistics (ACL). https://iris.unimore.it/handle/11380/1338749

Melzi, P., Tolosana, R., Vera-Rodriguez, R., Kim, M., Rathgeb, C., Liu, X., DeAndres-Tame, I., Morales, A., Fierrez, J., Ortega-Garcia, J., Zhao, W., Zhu, X., Yan, Z., Zhang, X., Wu, J., Lei, Z., Tripathi, S., Kothari, M., Haider Zama, M., ... Marras, M. (2024). FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW). https://doi.org/10.1109/WACVW60836.2024.00100

Bigazzi, R., Baraldi, L., Kousik, S., Cucchiara, R., & Pavone, M. (2024). Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/ICRA57147.2024.10610897

Bucciarelli, D., Moratelli, N., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis. European Conference on Computer Vision Workshops Milan. https://iris.unimore.it/handle/11380/1351386

Garuti, F., Luetto, S., Sangineto Lorenzo Forni, E., & Cucchiara, R. (2024). Diffusion and Autoregressive Deep Learning models for Transactional Data Generation. Workshop on Synthetic Data and GenAI in Finance New. https://iris.unimore.it/handle/11380/1370850

Liu, C., Ferrara, M., Franco, A., Borghi, G., & Zhong, D. (2024). Differential Morphing Attack Detection via Triplet-Based Metric Learning and Artifact Extraction. International Conference of the Biometrics Special Interest Group (BIOSIG). https://doi.org/10.1109/biosig61931.2024.10786732

Poppi, S., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Unlearning Vision Transformers without Retaining Data via Low-Rank Decompositions. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1350486

Bertoli, A., Ferraguti, F., & Fantuzzi, C. (2024). An IoT-enabled Software Architecture for User-Friendly Fault Diagnosis and Identification: The Welding Cobot Use Case. https://doi.org/10.1109/robot61475.2024.10797369

Vezzali, E., Bolelli, F., Santi, S., & Grana, C. (2024). BarBeR: A Barcode Benchmarking Repository. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1350766

Simoni, A., Borghi, G., Garattoni, L., Francesca, G., & Vezzani, R. (2024). D-SPDH: Improving 3D Robot Pose Estimation in Sim2Real Scenario via Depth Data. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2024.3492812

Moratelli, N., Barraco, M., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Are Learnable Prompts the Right Way of Prompting? Adapting Vision-and-Language Models with Memory Optimization. IEEE INTELLIGENT SYSTEMS. https://doi.org/10.1109/MIS.2024.3386099

Bertoli, A., Battilani, N., & Fantuzzi, C. (2024). Fault Diagnosis and Identification in AGVs System. IFAC PAPERSONLINE. https://doi.org/10.1016/j.ifacol.2024.07.225

Betti, F., Baraldi, L., Baraldi, L., Cucchiara, R., & Sebe, N. (2024). Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection. European Conference on Computer Vision Workshops Milan. https://iris.unimore.it/handle/11380/1352806

Perliti Scorzoni, P., Giovanetti, A., Bolelli, F., & Grana, C. (2024). Sustainable Use of Resources in Hospitals: A Machine Learning-Based Approach to Predict Prolonged Length of Stay at the Time of Admission. International Conference on Human Interaction & Emerging Technologies (IHIET). https://doi.org/10.54941/ahfe1005520

Barsellotti, L., Amoroso, R., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52733.2024.00354

Capitani, G., Bolelli, F., Porrello, A., Calderara, S., & Ficarra, E. (2024). ClusterFix: A Cluster-Based Debiasing Approach without Protected-Group Supervision. IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV57701.2024.00480

Sarto, S., Cornia, M., Baraldi, L., Nicolosi, A., & Cucchiara, R. (2024). Towards Retrieval-Augmented Architectures for Image Captioning. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3663667

Borghi, G., Franco, A., Di Domenico, N., Ferrara, M., & Maltoni, D. (2024). V-MAD: Video-based Morphing Attack Detection in Operational Scenarios. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/IJCB62174.2024.10744469

Mancusi, G., Bernardi, M., Panariello, A., Porrello, A., Cucchiara, R., & Calderara, S. (2024). Is Multiple Object Tracking a Matter of Specialization?. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1364431

Moratelli, N., Caffagni, D., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1347746

Bernhard, M., Amoroso, R., Kindermann, Y., Baraldi, L., Cucchiara, R., Tresp, V., & Schubert, M. (2024). What’s Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). https://iris.unimore.it/handle/11380/1322606

Borghi, G., Domenico, N. D., Ferrara, M., Franco, A., Latif, U., & Maltoni, D. (2024). MONOT: High-Quality Privacy-compliant Morphed Synthetic Images for Everyone. IEEE International Workshop on Information Forensics and Security (WIFS). https://doi.org/10.1109/wifs61860.2024.10810695

Robledo-Moreno, M., Borghi, G., Di Domenico, N., Franco, A., Raja, K., & Maltoni, D. (2024). Towards Federated Learning for Morphing Attack Detection. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/IJCB62174.2024.10744518

Capitani, G., Lucarini, A., Bonicelli, L., Bolelli, F., Calderara, S., Vezzali, L., & Ficarra, E. (2024). Beyond the Surface: Comprehensive Analysis of Implicit Bias in Vision-Language Models. ECCV 2024 - workshop "Fairness and Ethics towards transparent AI: facing the chalLEnge through model Debiasing (FAILED). https://iris.unimore.it/handle/11380/1350126

Ippoliti, C., Bonicelli, L., De Ascentis, M., Tora, S., Di Lorenzo, A., Gerardo D’Alessio, S., Porrello, A., Bonanni, A., Cioci, D., Goffredo, M., Calderara, S., & Conte, A. (2024). Spotting Culex pipiens from satellite: modeling habitat suitability in central Italy using Sentinel-2 and deep learning techniques. FRONTIERS IN VETERINARY SCIENCE. https://doi.org/10.3389/fvets.2024.1383320

Corsini, A., Porrello, A., Calderara, S., & Dell'Amico, M. (2024). Self-Labeling the Job Shop Scheduling Problem. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1364432

Cornia, M., Baraldi, L., Fiameni, G., & Cucchiara, R. (2024). Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets. INTERNATIONAL JOURNAL OF COMPUTER VISION. https://doi.org/10.1007/s11263-023-01949-w

Patania, S., D’Amelio, A., Cuculo, V., Limoncini, M., Ghezzi, M., Conversano, V., & Boccignone, G. (2024). Pain and Fear in the Eyes: Gaze Dynamics Predicts Social Anxiety from Fear Generalisation. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-51023-6_12

Quattrini, F., Pippi, V., Cascianelli, S., & Cucchiara, R. (2024). Binarizing Documents by Leveraging both Space and Frequency. International Conference on Document Analysis and Recognition (ICDAR). https://doi.org/10.1007/978-3-031-70543-4_1

Noceti, N., Campisi, S., Chirico, A., Cuculo, V., Grossi, G., Michelotto, M., Odone, F., Gaggioli, A., & Lanzarotti, R. (2024). Predicting engagement of older people’s virtual teams from video call analysis. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION. https://doi.org/10.1080/10447318.2024.2423107

Cartella, G., Cornia, M., Cuculo, V., D'Amelio, A., Zanca, D., Boccignone, G., & Cucchiara, R. (2024). Trends, Applications, and Challenges in Human Attention Modelling. International Joint Conference on Artificial Intelligence (IJCAI). https://doi.org/10.24963/ijcai.2024/882

Vorabbi, L., Maltoni, D., Borghi, G., & Santi, S. (2024). Enabling On-Device Continual Learning with Binary Neural Networks and Latent Replay. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). https://doi.org/10.5220/0012269000003660

Bolelli, F., Allegretti, S., Lumetti, L., & Grana, C. (2024). A State-of-the-Art Review with Code about Connected Components Labeling on GPUs. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. https://doi.org/10.1109/TPDS.2024.3434357

Shahreza, H. O., Ecabert, C., George, A., Unnervik, A., Marcel, S., Di Domenico, N., Borghi, G., Maltoni, D., Boutros, F., Vogel, J., Damer, N., Sanchez-Perez, A., Mas-Candela, E., Calvo-Zaragoza, J., Biesseck, B., Vidal, P., Granada, R., Menotti, D., Deandres-Tame, I., ... Fierrez, J. (2024). SDFR: Synthetic Data for Face Recognition Competition. IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/FG59268.2024.10581946

Xing, S., Peruzzo, E., Sangineto, E., & Sebe, N. (2024). From One to Many Lorikeets: Discovering Image Analogies in the CLIP Space. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1370851

Cappelletti, S., Baraldi, L., Cocchi, F., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1343567

Melzi, P., Tolosana, R., Vera-Rodriguez, R., Kim, M., Rathgeb, C., Liu, X., DeAndres-Tame, I., Morales, A., Fierrez, J., Ortega-Garcia, J., Zhao, W., Zhu, X., Yan, Z., Zhang, X., Wu, J., Lei, Z., Tripathi, S., Kothari, M., Zama, M. H., ... Marras, M. (2024). FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems. INFORMATION FUSION. https://doi.org/10.1016/j.inffus.2024.102322

Moratelli, N., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Fluent and Accurate Image Captioning with a Self-Trained Reward Model. International Conference on Pattern Recognition. https://iris.unimore.it/handle/11380/1343566

Garuti, F., Luetto, S., Sangineto, E., & Cucchiara, R. (2024). Large-Scale Transformer models for Transactional Data. Ital-IA Intelligenza Artificiale - Thematic Workshops. https://iris.unimore.it/handle/11380/1372322

Di Domenico, N., Borghi, G., Franco, A., & Maltoni, D. (2024). Face Restoration for Morphed Images Retouching. International Workshop on Biometrics and Forensics (IWBF). https://doi.org/10.1109/IWBF62628.2024.10593948

Nini, M., Ferraguti, F., Ragaglia, M., Bertuletti, M., Di Napoli, S., & Fantuzzi, C. (2024). Parameter Identification of a 6-DoF Serial Manipulator with Coupled Joints and Load-Assisting Springs for Industrial Applications. https://doi.org/10.1109/robot61475.2024.10796943

Amoroso, R., Morelli, D., Cornia, M., Baraldi, L., Del Bimbo, A., & Cucchiara, R. (2024). Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3665497

Tarollo, G., Fontanini, T., Ferrari, C., Borghi, G., & Prati, A. (2024). Adversarial Identity Injection for Semantic Face Image Synthesis. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW63382.2024.00154

Lovino, M., Ficarra, E., & Martignetti, L. (2024). Integrated microRNA and proteome analysis of cancer datasets with MoPC. PLOS ONE. https://doi.org/10.1371/journal.pone.0289699

Cucchiara, R., Baraldi, L., Cornia, M., & Sarto, S. (2024). Video Surveillance and Privacy: A Solvable Paradox?. COMPUTER. https://doi.org/10.1109/MC.2023.3316696

Poppi, S., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Multi-Class Unlearning for Image Classification via Weight Filtering. IEEE INTELLIGENT SYSTEMS. https://doi.org/10.1109/MIS.2024.3412742

Barsellotti, L., Bigazzi, R., Cornia, M., Baraldi, L., & Cucchiara, R. (2024). Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1358666

Peruzzo, E., Sangineto, E., Liu, Y., De Nadai, M., Bi, W., Lepri, B., & Sebe, N. (2024). Spatial Entropy as an Inductive Bias for Vision Transformers. MACHINE LEARNING. https://doi.org/10.1007/s10994-024-06570-7

Xu, Z., Xing, S., Sangineto, E., & Sebe, N. (2024). SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective. IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV57701.2024.00504

Morelli, D., Baldrati, A., Cartella, G., Cornia, M., Bertini, M., & Cucchiara, R. (2023). LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. ACM International Conference on Multimedia (MM). https://doi.org/10.1145/3581783.3612137

D'Eusanio, A., Simoni, A., Pini, S., Borghi, G., Vezzani, R., & Cucchiara, R. (2023). Depth-based 3D human pose refinement: Evaluating the refinet framework. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2023.03.005

Borghi, G., Di Domenico, N., Franco, A., Ferrara, M., & Maltoni, D. (2023). Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2023.3328227

Pippi, V., Cascianelli, S., & Cucchiara, R. (2023). Handwritten Text Generation from Visual Archetypes. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52729.2023.02151

Hattab, J., Porrello, A., Romano, A., Rosamilia, A., Ghidini, S., Bernabò, N., Capobianco Dondona, A., Corradi, A., & Marruchella, G. (2023). Scoring Enzootic Pneumonia-like Lesions in Slaughtered Pigs: Traditional vs. Artificial-Intelligence-Based Methods. PATHOGENS. https://doi.org/10.3390/pathogens12121460

Bergianti, M., Cioffo, N., Del Buono, F., Paganelli, M., & Porrello, A. (2023). Avoiding the Pitfalls on Stock Market: Challenges and Solutions in Developing Quantitative Strategies. Italia Intelligenza Artificiale - Thematic Workshops (Ital-IA). https://iris.unimore.it/handle/11380/1366791

Cocchi, F., Baraldi, L., Poppi, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2023). Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43153-1_29

Amoroso, R., Tomei, M., Baraldi, L., & Cucchiara, R. (2023). Superpixel Positional Encoding to Improve ViT-based Semantic Segmentation Models. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1313867

Gibertoni, G., Borghi, G., & Rovati, L. (2023). Vision-Based Eye Image Classification for Ophthalmic Measurement Systems. SENSORS. https://doi.org/10.3390/s23010386

Bontempo, G., Porrello, A., Bolelli, F., Calderara, S., & Ficarra, E. (2023). DAS-MIL: Distilling Across Scales for MILClassification of Histological WSIs. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). https://doi.org/10.1007/978-3-031-43907-0_24

Daoudi, M., Vezzani, R., Borghi, G., Ferrari, C., Cornia, M., Becattini, F., & Pilzer, A. (2023). Computer Vision in Human Analysis: From Face and Body to Clothes. SENSORS. https://doi.org/10.3390/s23125378

Di Bartolomeo, M., Pellacani, A., Bolelli, F., Cipriano, M., Lumetti, L., Negrello, S., Allegretti, S., Minafra, P., Pollastri, F., Nocini, R., Colletti, G., Chiarini, L., Grana, C., & Anesi, A. (2023). Inferior Alveolar Canal Automatic Detection with Deep Learning CNNs on CBCTs: Development of a Novel Model and Release of Open-Source Dataset and Algorithm. APPLIED SCIENCES. https://doi.org/10.3390/app13053271

Boschini, M., Bonicelli, L., Buzzega, P., Porrello, A., & Calderara, S. (2023). Class-Incremental Continual Learning into the eXtended DER-verse. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2022.3206549

Caffagni, D., Barraco, M., Cornia, M., Baraldi, L., & Cucchiara, R. (2023). SynthCap: Augmenting Transformers with Synthetic Data for Image Captioning. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_10

Panariello, A., Porrello, A., Calderara, S., & Cucchiara, R. (2023). Consistency-Based Self-supervised Learning for Temporal Anomaly Localization. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-25072-9_22

D’Amelio, A., Lanzarotti, R., Patania, S., Grossi, G., Cuculo, V., Valota, A., & Boccignone, G. (2023). On Using rPPG Signals for DeepFake Detection: A Cautionary Note. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43153-1_20

Garuti, F., Luetto, S., Cucchiara, R., & Sangineto, E. (2023). Deep Learning and Large Scale Models for Bank Transactions. Italia Intelligenza Artificiale - Thematic Workshops (Ital-IA). https://iris.unimore.it/handle/11380/1343906

Marconato, E., Bontempo, G., Ficarra, E., Calderara, S., Passerini, A., & Teso, S. (2023). Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. https://doi.org/10.48550/arxiv.2302.01242

Barraco, M., Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2023). With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV51070.2023.00282

Ponzio, F., Macii, E., Ficarra, E., & Di Cataldo, S. (2023). W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality. EXPERT SYSTEMS WITH APPLICATIONS. https://doi.org/10.1016/j.eswa.2022.119121

Pippi, V., Cascianelli, S., Kermorvant, C., & Cucchiara, R. (2023). How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning. International Conference on Document Analysis and Recognition (ICDAR). https://doi.org/10.1007/978-3-031-41679-8_19

Poppi, S., Rawal, N., Bigazzi, R., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2023). Towards Explainable Navigation and Recounting. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_15

Cartella, G., Baldrati, A., Morelli, D., Cornia, M., Bertini, M., & Cucchiara, R. (2023). OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_21

Pianfetti, E., Lovino, M., Ficarra, E., & Martignetti, L. (2023). MiREx: mRNA levels prediction from gene sequence and miRNA target knowledge. BMC BIOINFORMATICS. https://doi.org/10.1186/s12859-023-05560-1

Betti, F., Staiano, J., Baraldi, L., Baraldi, L., Cucchiara, R., & Sebe, N. (2023). Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation. ACM International Conference on Multimedia (MM). https://doi.org/10.1145/3581783.3612706

Di Domenico, N., Borghi, G., Franco, A., Ferrara, M., & Maltoni, D. (2023). A Framework to Improve the Comparability and Reproducibility of Morphing Attack Detectors. Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). https://doi.org/10.1109/MetroXRAINE58569.2023.10405735

Cornia, M., Baraldi, L., Ayellet, T., & Cucchiara, R. (2023). Fully-Attentive Iterative Networks for Region-based Controllable Image and Video Captioning. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2023.103857

Bontempo, G., Bartolini, N., Lovino, M., Bolelli, F., Virtanen, A., & Ficarra, E. (2023). Enhancing PFI Prediction with GDS-MIL: A Graph-based Dual Stream MIL Approach. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_46

Moratelli, N., Barraco, M., Morelli, D., Cornia, M., Baraldi, L., & Cucchiara, R. (2023). Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates. SENSORS. https://doi.org/10.3390/s23031286

Pippi, V., Quattrini, F., Cascianelli, S., & Cucchiara, R. (2023). HWD: A Novel Evaluation Score for Styled Handwritten Text Generation. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1396609

Ning, M., Sangineto, E., Porrello, A., Calderara, S., & Cucchiara, R. (2023). Input Perturbation Reduces Exposure Bias in Diffusion Models. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1343926

Lumetti, L., Pipoli, V., Bolelli, F., & Grana, C. (2023). Annotating the Inferior Alveolar Canal: the Ultimate Tool. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_44

Bianchi, G., Puliatti, S., Rodriguez, N., Micali, S., Bertoni, L., Reggiani Bonetti, L., Caramaschi, S., Bolelli, F., Pinamonti, M., Rozze, D., & Grana, C. (2023). Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience. MINERVA UROLOGY AND NEPHROLOGY. https://doi.org/10.23736/S2724-6051.23.05538-6

Stefanini, M., Cornia, M., Baraldi, L., Cascianelli, S., Fiameni, G., & Cucchiara, R. (2023). From Show to Tell: A Survey on Deep Learning-based Image Captioning. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2022.3148210

Baldrati, A., Morelli, D., Cartella, G., Cornia, M., Bertini, M., & Cucchiara, R. (2023). Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV51070.2023.02138

Mancusi, G., Panariello, A., Porrello, A., Fabbri, M., Calderara, S., & Cucchiara, R. (2023). TrackFlow: Multi-Object Tracking with Normalizing Flows. IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV51070.2023.00874

Cocco, V. M., Bisagno, E., Bernardo, G. A. D., Bicocchi, N., Calderara, S., Palazzi, A., Cucchiara, R., Zambonelli, F., Cadamuro, A., Stathi, S., Crisp, R., & Vezzali, L. (2023). Let's stay close: An examination of the effects of imagined contact on behavior toward children with disability. SOCIAL DEVELOPMENT. https://doi.org/10.1111/sode.12662

Bontempo, G., Lumetti, L., Porrello, A., Bolelli, F., Calderara, S., & Ficarra, E. (2023). Buffer-MIL: Robust Multi-instance Learning with a Buffer-Based Approach. Image Analysis and Processing - ICIAP 2023. https://doi.org/10.1007/978-3-031-43153-1_1

Pellegrini, L., Borghi, G., Franco, A., & Maltoni, D. (2023). Detecting Morphing Attacks via Continual Incremental Training. IEEE International Joint Conference on Biometrics (IJCB). https://doi.org/10.1109/IJCB57857.2023.10449306

Casari, M., Po, L., & Zini, L. (2023). AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin. SENSORS. https://doi.org/10.3390/s23239446

Xu, Z., Sangineto, E., & Sebe, N. (2023). StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model. IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV51070.2023.00699

Barsellotti, L., Amoroso, R., Baraldi, L., & Cucchiara, R. (2023). Enhancing Open-Vocabulary Semantic Segmentation with Prototype Retrieval. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43153-1_17

Bigazzi, R., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2023). Embodied Agents for Efficient Exploration and Smart Scene Description. IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/ICRA48891.2023.10160668

Marconato, E., Bontempo, G., Ficarra, E., Calderara, S., Passerini, A., & Teso, S. (2023). Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1342050

D’Amelio, A., Patania, S., Bursic, S., Cuculo, V., & Boccignone, G. (2023). Using Gaze for Behavioural Biometrics. SENSORS. https://doi.org/10.3390/s23031262

Quattrini, F., Pippi, V., Cascianelli, S., & Cucchiara, R. (2023). Volumetric Fast Fourier Convolution for Detecting Ink on the Carbonized Herculaneum Papyri. IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). https://doi.org/10.1109/ICCVW60793.2023.00188

Di Nucci, D., Simoni, A., Tomei, M., Ciuffreda, L., Vezzani, R., & Cucchiara, R. (2023). CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components. ICIAP 2023: 22nd International Conference. https://doi.org/10.1007/978-3-031-43153-1_9

Mapelli, J., Benatti, L., Puglisi, F. M., Fiorini, C., Zanotti, T., & Gandolfi, D. (2023). Circuito per realizzare inferenza variazionale e neurone elettronico comprendente tale circuito. https://iris.unimore.it/handle/11380/1403389

Al Kalak, M., & Baraldi, L. (2023). Sharing Cultural Heritage—The Case of the Lodovico Media Library. MULTIMODAL TECHNOLOGIES AND INTERACTION. https://doi.org/10.3390/mti7120115

Di Domenico, N., Borghi, G., Franco, A., & Maltoni, D. (2023). Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection. Proceedings of the 22nd International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-43148-7_9

Ghione, G., Lovino, M., Ficarra, E., & Cirrincione, G. (2023). BERT Classifies SARS-CoV-2 Variants. SMART INNOVATION, SYSTEMS AND TECHNOLOGIES. https://doi.org/10.1007/978-981-99-3592-5_15

Pippi, V., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2023). Evaluating synthetic pre-Training for handwriting processing tasks. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2023.06.003

Cirrincione, G., Cannata, S., Cicceri, G., Prinzi, F., Currieri, T., Lovino, M., Militello, C., Pasero, E., & Vitabile, S. (2023). Transformer-Based Approach to Melanoma Detection. SENSORS. https://doi.org/10.3390/s23125677

Bonicelli, L., Porrello, A., Vincenzi, S., Ippoliti, C., Iapaolo, F., Conte, A., & Calderara, S. (2023). Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. https://doi.org/10.1109/TGRS.2023.3293270

D'Amelio, A., Patania, S., Buršić, S., Cuculo, V., & Boccignone, G. (2023). Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer. SENSORS. https://doi.org/10.3390/s23062885

Gibertoni, G., Rovati, L., & Borghi, G. (2023). Metodo per stimare una posizione conforme di un occhio, dispositivo per esami oftalmici
implementante tale metodo e relativo kit elettronico per aggiornare un dispositivo oftalmico. https://iris.unimore.it/handle/11380/1395278

Sarto, S., Barraco, M., Cornia, M., Baraldi, L., & Cucchiara, R. (2023). Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52729.2023.00668

Millunzi, M., Bonicelli, L., Zurli, A., Salman, A., Credi, J., & Calderara, S. (2023). Novel continual learning techniques on noisy label datasets. Italia Intelligenza Artificiale - Thematic Workshops (Ital-IA). https://iris.unimore.it/handle/11380/1383989

Ciminieri, D., Cuculo, V., & Masserdotti, A. (2023). Method of localization. https://iris.unimore.it/handle/11380/1401842

Garattoni, L., Francesca, G., Pini, S., Simoni, A., Vezzani, R., & Borghi, G. (2023). Method for generating probabilistic representations and deep neural network. https://iris.unimore.it/handle/11380/1395909

Stefanini, M., Lovino, M., Cucchiara, R., & Ficarra, E. (2023). Predicting gene and protein expression levels from DNA and protein sequences with Perceiver. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. https://doi.org/10.1016/j.cmpb.2023.107504

Cornia, M., Baraldi, L., & Cucchiara, R. (2022). Explaining Transformer-based Image Captioning Models: An Empirical Analysis. AI COMMUNICATIONS. https://doi.org/10.3233/AIC-210172

Boschini, M., Buzzega, P., Bonicelli, L., Porrello, A., & Calderara, S. (2022). Continual semi-supervised learning through contrastive interpolation consistency. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2022.08.006

Pipoli, V., Cappelli, M., Palladini, A., Peluso, C., Lovino, M., & Ficarra, E. (2022). Predicting gene expression levels from DNA sequences and post-transcriptional information with transformers. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. https://doi.org/10.1016/j.cmpb.2022.107035

Pollastri, F., Cipriano, M., Bolelli, F., & Grana, C. (2022). Long-Range 3D Self-Attention for MRI Prostate Segmentation. IEEE International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBI52829.2022.9761448

Porrello, A. (2022). Sfruttare e Trasferire conoscenza a priori nelle Architetture di Deep Learning. https://iris.unimore.it/handle/11380/1271186

Cascianelli, S., Astolfi, D., Castellani, F., Cucchiara, R., & Fravolini, M. L. (2022). Wind Turbine Power Curve Monitoring Based on Environmental and Operational Data. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. https://doi.org/10.1109/TII.2021.3128205

Bigazzi, R., Landi, F., Cascianelli, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2022). Embodied Navigation at the Art Gallery. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06427-2_61

Citarrella, F., Bontempo, G., Lovino, M., & Ficarra, E. (2022). FusionFlow: an integrated system workflow for gene fusion detection in genomic samples. Workshop on Intelligent Data - From Data to Knowledge (DOING). https://doi.org/10.1007/978-3-031-15743-1_8

Bolelli, F., Allegretti, S., & Grana, C. (2022). One DAG to Rule Them All. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2021.3055337

Ning, M., Ma, X., Lu, Y., Calderara, S., & Cucchiara, R. (2022). SeeFar: Vehicle Speed Estimation and Flow Analysis from a Moving UAV. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06433-3_24

Bruno, P., Amoroso, R., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2022). Investigating Bidimensional Downsampling in Vision Transformer Models. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06430-2_24

Hossain, M. S., Cucchiara, R., Muhammad, G., Tobon, D. P., & El Saddik, A. (2022). Special Section on AI-empowered Multimedia Data Analytics for Smart Healthcare. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3505281

Sarto, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2022). Retrieval-Augmented Transformer for Image Captioning. International Conference on Content-based Multimedia Indexing (CBMI). https://doi.org/10.1145/3549555.3549585

Zhang, J., Chen, J., Tang, H., Sangineto, E., Wu, P., Yan, Y., Sebe, N., & Wang, W. (2022). Unsupervised High-Resolution Portrait Gaze Correction and Animation. IEEE TRANSACTIONS ON IMAGE PROCESSING. https://doi.org/10.1109/TIP.2022.3191852

Cornia, M., Tomei, M., Baraldi, L., & Cucchiara, R. (2022). Matching Faces and Attributes Between the Artistic and the Real Domain: the PersonArt Approach. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3490033

D'Eusanio, A., Pini, S., Borghi, G., Simoni, A., & Vezzani, R. (2022). Unsupervised Detection of Dynamic Hand Gestures from Leap Motion Data. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06427-2_35

Boccignone, G., Bursic, S., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Patania, S. (2022). DeepFakes Have No Heart: A Simple rPPG-Based Method to Reveal Fake Videos. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06430-2_16

Holzinger, A., Dehmer, M., Emmert-Streib, F., Cucchiara, R., Augenstein, I., Ser, J. D., Samek, W., Jurisica, I., & Diaz-Rodriguez, N. (2022). Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. INFORMATION FUSION. https://doi.org/10.1016/j.inffus.2021.10.007

Cascianelli, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2022). Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION. https://doi.org/10.1007/s10032-022-00401-y

Fenocchi, E., Morelli, D., Cornia, M., Baraldi, L., Cesari, F., & Cucchiara, R. (2022). Dual-Branch Collaborative Transformer for Virtual Try-On. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW56347.2022.00246

Nuvoli, S., Bianconi, F., Rondini, M., Lazzarato, A., Marongiu, A., Fravolini, M. L., Cascianelli, S., Amici, S., Filippi, L., Spanu, A., & Palumbo, B. (2022). Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18F-FDG PET/CT and Automated Classifiers. DIAGNOSTICS. https://doi.org/10.3390/diagnostics12102425

Cipriano, M., Allegretti, S., Bolelli, F., Pollastri, F., & Grana, C. (2022). Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52688.2022.02046

Graffieti, G., Borghi, G., & Maltoni, D. (2022). Continual Learning in Real-Life Applications. IEEE ROBOTICS AND AUTOMATION LETTERS. https://doi.org/10.1109/LRA.2022.3167736

Winkler, J., Urgese, G., Ficarra, E., & Reinert, K. (2022). LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences. BMC BIOINFORMATICS. https://doi.org/10.1186/s12859-021-04532-7

Monti, A., Porrello, A., Calderara, S., Coscia, P., Ballan, L., & Cucchiara, R. (2022). How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR52688.2022.00644

Marconato, E., Bontempo, G., Teso, S., Ficarra, E., Calderara, S., & Passerini, A. (2022). Catastrophic Forgetting in Continual Concept Bottleneck Models. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-13324-4_46

Rosati, C. A., Cervo, A., Bertoli, A., Santacaterina, M., Battilani, N., & Fantuzzi, C. (2022). Self-configuring BLE deep sleep network for fault tolerant WSN. IFAC-PAPERSONLINE. https://doi.org/10.1016/j.ifacol.2022.07.128

Cipriano, M., Allegretti, S., Bolelli, F., Di Bartolomeo, M., Pollastri, F., Pellacani, A., Minafra, P., Anesi, A., & Grana, C. (2022). Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2022.3144840

Bigazzi, R., Landi, F., Cascianelli, S., Baraldi, L., Cornia, M., & Cucchiara, R. (2022). Focus on Impact: Indoor Exploration with Intrinsic Motivation. IEEE ROBOTICS AND AUTOMATION LETTERS. https://doi.org/10.1109/LRA.2022.3145971

Bolelli, F., Allegretti, S., & Grana, C. (2022). Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction. International Conference on Image Analysis and Processing, Binary is the New Black (and White) Workshop Lecce. https://doi.org/10.1007/978-3-031-13324-4_10

Borghi, G., Graffieti, G., Franco, A., & Maltoni, D. (2022). Incremental Training of Face Morphing Detectors. International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA). https://doi.org/10.1109/ICPR56361.2022.9956395

Palazzi, A., Bergamini, L., Calderara, S., & Cucchiara, R. (2022). Warp and Learn: Novel Views Generation for Vehicles and Other Objects. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2020.3030701

Landi, F., Bigazzi, R., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2022). Spot the Difference: A Novel Task for Embodied Agents in Changing Environments. International Conference on Pattern Recognition Montréal Québec. https://doi.org/10.1109/ICPR56361.2022.9956538

Bellitto, G., Pennisi, M., Palazzo, S., Bonicelli, L., Boschini, M., Calderara, S., & Spampinato, C. (2022). Effects of Auxiliary Knowledge on Continual Learning. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR56361.2022.9956694

Fincato, M., Cornia, M., Landi, F., Cesari, F., & Cucchiara, R. (2022). Transform, Warp, and Dress: A New Transformation-Guided Model for Virtual Try-On. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3491226

Masserdotti, A., Cuculo, V., & Ciminieri, D. (2022). Metodo di localizzazione. https://iris.unimore.it/handle/11380/1389769

Ermolov, A., Sangineto, E., & Sebe, N. (2022). Temporal Alignment for History Representation in Reinforcement Learning. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR56361.2022.9956553

Barraco, M., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2022). The Unreasonable Effectiveness of CLIP features for Image Captioning: an Experimental Analysis. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW56347.2022.00512

Mancusi, G., Fabbri, M., Egidi, S., Verasani, M., Scarabelli, P., Calderara, S., & Cucchiara, R. (2022). First Steps Towards 3D Pedestrian Detection and Tracking from Single Image. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06430-2_28

Borgato, S., Bottino, M., Lovino, M., & Ficarra, E. (2022). SARS-CoV-2 variants classification and characterization. International Conference on Bioinformatics and Computational Biology (BICOB). https://iris.unimore.it/handle/11380/1281685

Lovino, M., Montemurro, M., Barrese, V. S., & Ficarra, E. (2022). Identifying the oncogenic potential of gene fusions exploiting miRNAs. JOURNAL OF BIOMEDICAL INFORMATICS. https://doi.org/10.1016/j.jbi.2022.104057

Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., Lanzarotti, R., & Mortara, E. (2022). pyVHR: a Python framework for remote photoplethysmography. PEERJ. COMPUTER SCIENCE.. https://doi.org/10.7717/peerj-cs.929

Zhang, J., Sangineto, E., Tang, H., Siarohin, A., Zhong, Z., Sebe, N., & Wang, W. (2022). 3D-Aware Semantic-Guided Generative Model for Human Synthesis. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-19784-0_20

Bolelli, F., Allegretti, S., & Grana, C. (2022). Connected Components Labeling on Bitonal Images. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-031-06430-2_29

Tomei, M., Baraldi, L., Fiameni, G., Bronzin, S., & Cucchiara, R. (2022). A Computational Approach for Progressive Architecture Shrinkage in Action Recognition. SOFTWARE, PRACTICE AND EXPERIENCE. https://doi.org/10.1002/spe.3035

Bonicelli, L., Boschini, M., Porrello, A., Spampinato, C., & Calderara, S. (2022). On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning. Conference on Neural Information Processing Systems (NeurIPS). https://iris.unimore.it/handle/11380/1289324

Mascolini, A., Cardamone, D., Ponzio, F., Di Cataldo, S., & Ficarra, E. (2022). Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. BMC BIOINFORMATICS. https://doi.org/10.1186/s12859-022-04845-1

Simoni, A., Pini, S., Borghi, G., & Vezzani, R. (2022). Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps. IEEE ROBOTICS AND AUTOMATION LETTERS. https://doi.org/10.1109/LRA.2022.3193225

Emporio, M., Caputo, A., Giachetti, A., Cristani, M., Borghi, G., D'Eusanio, A., Le, M., Nguyen, H., Tran, M., Ambellan, F., Hanik, M., Nava-Yazdani, E., & Von Tycowicz, C. (2022). SHREC 2022 track on online detection of heterogeneous gestures. COMPUTERS & GRAPHICS. https://doi.org/10.1016/j.cag.2022.07.015

Boschini, M., Bonicelli, L., Porrello, A., Bellitto, G., Pennisi, M., Palazzo, S., Spampinato, C., & Calderara, S. (2022). Transfer without Forgetting. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-20050-2_40

Barraco, M., Stefanini, M., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2022). CaMEL: Mean Teacher Learning for Image Captioning. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR56361.2022.9955644

Cascianelli, S., Pippi, V., Maarand, M., Cornia, M., Baraldi, L., Kermorvant, C., & Cucchiara, R. (2022). The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR56361.2022.9956189

Morelli, D., Fincato, M., Cornia, M., Landi, F., Cesari, F., & Cucchiara, R. (2022). Dress Code: High-Resolution Multi-Category Virtual Try-On. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-031-20074-8_20

Messina, N., Stefanini, M., Cornia, M., Baraldi, L., Falchi, F., Amato, G., & Cucchiara, R. (2022). ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval. International Conference on Content-based Multimedia Indexing (CBMI). https://doi.org/10.1145/3549555.3549576

Morelli, D., Fincato, M., Cornia, M., Landi, F., Cesari, F., & Cucchiara, R. (2022). Dress Code: High-Resolution Multi-Category Virtual Try-On. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW56347.2022.00243

Testa, F., Fontana, F., Pollastri, F., Chester, J., Leonelli, M., Giaroni, F., Gualtieri, F., Bolelli, F., Mancini, E., Nordio, M., Sacco, P., Ligabue, G., Giovanella, S., Ferri, M., Alfano, G., Gesualdo, L., Cimino, S., Donati, G., Grana, C., & Magistroni, R. (2022). Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images. CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY. https://doi.org/10.2215/CJN.01760222

Mascolini, A., Ponzio, F., Macii, E., Ficarra, E., & Di Cataldo, S. (2022). High Resolution Explanation Maps for CNNs using Segmentation Networks. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). https://doi.org/10.1109/VL/HCC53370.2022.9833004

Oniga, D., Cantalupo, B., Tartaglione, E., Perlo, D., Grangetto, M., Aldinucci, M., Bolelli, F., Pollastri, F., Cancilla, M., Canalini, L., Grana, C., Alcalde, C. M., Cardillo, F. A., & Florea, M. (2022). Applications of AI and HPC in the Health Domain. https://doi.org/10.1201/9781003176664-11

Cucchiara, R., & Fabbri, M. (2022). Fine-Grained Human Analysis Under Occlusions and Perspective Constraints in Multimedia Surveillance. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3476839

Corsini, A., Calderara, S., & Dell'Amico, M. (2022). Learning the Quality of Machine Permutations in Job Shop Scheduling. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2022.3207559

Lovino, M., Randazzo, V., Ciravegna, G., Barbiero, P., Ficarra, E., & Cirrincione, G. (2022). A survey on data integration for multi-omics sample clustering. NEUROCOMPUTING. https://doi.org/10.1016/j.neucom.2021.11.094

Fini, E., Sangineto, E., Lathuilière, S., Zhong, Z., Nabi, M., & Ricci, E. (2021). A Unified Objective for Novel Class Discovery. IEEE/CVF International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV48922.2021.00915

Cucchiara, R. (2021). L'intelligenza non è artificiale. La rivoluzione tecnologica che sta già cambiando il mondo. https://iris.unimore.it/handle/11380/1275040

Simoni, A., Pini, S., Vezzani, R., & Cucchiara, R. (2021). Multi-Category Mesh Reconstruction From Image Collections. International Conference on 3D Vision (3DV). https://doi.org/10.1109/3DV53792.2021.00139

Bigazzi, R., Landi, F., Cornia, M., Cascianelli, S., Baraldi, L., & Cucchiara, R. (2021). Explore and Explain: Self-supervised Navigation and Recounting. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412628

Avizzano, C. A., Borghi, G., Calderara, S., Cucchiara, R., Fedeli, E., Ermini, M., Gonnelli, M., Labanca, G., Frisoli, A., Gasparini, R., Solazzi, M., Tiseni, L., Leonardis, D., & Satler, M. (2021). Vehicle and method for inspecting a railway line. https://iris.unimore.it/handle/11380/1395911

Borghi, G., Franco, A., Graffieti, G., & Maltoni, D. (2021). Automated Artifact Retouching in Morphed Images with Attention Maps. IEEE ACCESS. https://doi.org/10.1109/ACCESS.2021.3117718

D’Eusanio, A., Pini, S., Borghi, G., Vezzani, R., & Cucchiara, R. (2021). RefiNet: 3D Human Pose Refinement with Depth Maps. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412451

Tomei, M., Baraldi, L., Calderara, S., Bronzin, S., & Cucchiara, R. (2021). RMS-Net: Regression and Masking for Soccer Event Spotting. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412268

Cancilla, M., Canalini, L., Bolelli, F., Allegretti, S., Carrión, S., Paredes, R., Ander Gómez, J., Leo, S., Enrico Piras, M., Pireddu, L., Badouh, A., Marco-Sola, S., Alvarez, L., Moreto, M., & Grana, C. (2021). The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9411954

Pini, S., Borghi, G., & Vezzani, R. (2021). Video Frame Synthesis combining Conventional and Event Cameras. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. https://doi.org/10.1142/S0218001421600132

Bonicelli, L., Trachtman, A. R., Rosamilia, A., Liuzzo, G., Hattab, J., Alcaraz, E. M., Del Negro, E., Vincenzi, S., Dondona, A. C., Calderara, S., & Marruchella, G. (2021). Training convolutional neural networks to score pneumonia in slaughtered pigs. ANIMALS. https://doi.org/10.3390/ani11113290

Cucchiara, R., Del Bimbo, A., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247290

Bertugli, A., Calderara, S., Coscia, P., Ballan, L., & Cucchiara, R. (2021). AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2021.103245

Mieuli, V., Ponzio, F., Mascolini, A., Macii, E., Ficarra, E., & Di Cataldo, S. (2021). A Bayesian approach to Expert Gate Incremental Learning. International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN52387.2021.9534204

Poppi, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2021). Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW53098.2021.00260

Cojocaru, I., Cascianelli, S., Baraldi, L., Corsini, M., & Cucchiara, R. (2021). Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412392

Cascianelli, S., Costante, G., Crocetti, F., Ricci, E., Valigi, P., & Luca Fravolini, M. (2021). Data‐based design of robust fault detection and isolation residuals via LASSO optimization and Bayesian filtering. ASIAN JOURNAL OF CONTROL. https://doi.org/10.1002/asjc.2392

Cervera, A., Rausio, H., Kähkönen, T., Andersson, N., Partel, G., Rantanen, V., Paciello, G., Ficarra, E., Hynninen, J., Hietanen, S., Carpén, O., Lehtonen, R., Hautaniemi, S., & Huhtinen, K. (2021). FUNGI: FUsioN Gene Integration toolset. BIOINFORMATICS. https://doi.org/10.1093/bioinformatics/btab206

Stefanini, M., Cornia, M., Baraldi, L., & Cucchiara, R. (2021). A Novel Attention-based Aggregation Function to Combine Vision and Language. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9413269

Chen, J., Zhang, J., Sangineto, E., Chen, T., Fan, J., & Sebe, N. (2021). Coarse-to-fine gaze redirection with numerical and pictorial guidance. IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV48630.2021.00371

Cucchiara, R., Del Bimbo, A., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247265

Simoni, A., Bergamini, L., Palazzi, A., Calderara, S., & Cucchiara, R. (2021). Future Urban Scenes Generation Through Vehicles Synthesis. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412880

Söchting, M., Allegretti, S., Bolelli, F., & Grana, C. (2021). A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9413096

Landi, F., Baraldi, L., Cornia, M., Corsini, M., & Cucchiara, R. (2021). Multimodal Attention Networks for Low-Level Vision-and-Language Navigation. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2021.103255

Bolelli, F., Allegretti, S., & Grana, C. (2021). A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes. International Workshop on Reproducible Research in Pattern Recognition (RRPR). https://doi.org/10.1007/978-3-030-76423-4_9

Cucchiara, R., Del Bimbo, A., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247297

Du, S., Xiao, Q., Shi, Y., Cucchiara, R., & Ma, Y. (2021). Unifying tensor factorization and tensor nuclear norm approaches for low-rank tensor completion. NEUROCOMPUTING. https://doi.org/10.1016/j.neucom.2021.06.020

Tomei, M., Baraldi, L., Calderara, S., Bronzin, S., & Cucchiara, R. (2021). Video action detection by learning graph-based spatio-temporal interactions. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2021.103187

Amoroso, R., Baraldi, L., & Cucchiara, R. (2021). Improving Indoor Semantic Segmentation with Boundary-level Objectives. International Work-Conference on Artificial Neural Networks (IWANN). https://doi.org/10.1007/978-3-030-85099-9_26

Monti, A., Bertugli, A., Calderara, S., & Cucchiara, R. (2021). DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412114

Mercadante, C., Cipriano, M., Bolelli, F., Pollastri, F., Di Bartolomeo, M., Anesi, A., & Grana, C. (2021). A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). https://doi.org/10.5220/0010392307240731

Alessio, M., Puzzo, S., Incatasciato, G., Ponzio, F., Ficarra, E., & Di Cataldo, S. (2021). A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. SMART INNOVATION, SYSTEMS AND TECHNOLOGIES. https://doi.org/10.1007/978-981-15-5093-5_12

Cucchiara, R., Bimbo, A. D., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247306

Vincenzi, S., Porrello, A., Buzzega, P., Cipriano, M., Fronte, P., Cuccu, R., Ippoliti, C., Conte, A., & Calderara, S. (2021). The color out of space: learning self-supervised representations for Earth Observation imagery. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9413112

Cucchiara, R., Bimbo, A. D., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247273

Fincato, M., Landi, F., Cornia, M., Cesari, F., & Cucchiara, R. (2021). VITON-GT: An Image-based Virtual Try-On Model with Geometric Transformations. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412052

Ermolov, A., Siarohin, A., Sangineto, E., & Sebe, N. (2021). Whitening for Self-Supervised Representation Learning. International Conference on Machine Learning (ICML). https://iris.unimore.it/handle/11380/1264385

Borghi, G., Pancisi, E., Ferrara, M., & Maltoni, D. (2021). A Double Siamese Framework for Differential Morphing Attack Detection. SENSORS. https://doi.org/10.3390/s21103466

Liu, Y., Sangineto, E., Chen, Y., Bao, L., Zhang, H., Sebe, N., Lepri, B., Wang, W., & Nadai, M. D. (2021). Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR46437.2021.01064

Allegretti, S., Bolelli, F., Pollastri, F., Longhitano, S., Pellacani, G., & Grana, C. (2021). Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR48806.2021.9412419

Bertoli, A., Cervo, A., Rosati, C. A., & Fantuzzi, C. (2021). Smart Node Networks Orchestration: A New E2E Approach for Analysis and Design for Agile 4.0 Implementation. SENSORS. https://doi.org/10.3390/s21051624

Cucchiara, R., Del Bimbo, A., & Sclaroff, S. (2021). Foreword by general chairs. International Conference on Pattern Recognition Workshops (ICPR). https://iris.unimore.it/handle/11380/1247302

Barchi, F., Parisi, E., Urgese, G., Ficarra, E., & Acquaviva, A. (2021). Exploration of Convolutional Neural Network models for source code classification. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. https://doi.org/10.1016/j.engappai.2020.104075

Cascianelli, S., Cornia, M., Baraldi, L., Piazzi, M. L., Schiuma, R., & Cucchiara, R. (2021). Learning to Read L'Infinito: Handwritten Text Recognition with Synthetic Training Data. International Conference on Computer Analysis of Images and Patterns (CAIP). https://doi.org/10.1007/978-3-030-89131-2_31

Simoni, A., D'Eusanio, A., Pini, S., Borghi, G., & Vezzani, R. (2021). Improving Car Model Classification through Vehicle Keypoint Localization. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). https://doi.org/10.5220/0010207803540361

Bergamini, L., Pini, S., Simoni, A., Vezzani, R., Calderara, S., Eath, R. B. D., & Fisher, R. B. (2021). Extracting accurate long-term behavior changes from a large pig dataset. International Conference on Computer Vision Theory and Applications Online. https://doi.org/10.5220/0010288405240533

Cagrandi, M., Cornia, M., Stefanini, M., Baraldi, L., & Cucchiara, R. (2021). Learning to Select: A Fully Attentive Approach for Novel Object Captioning. ACM International Conference on Multimedia Retrieval (ICMR). https://doi.org/10.1145/3460426.3463587

Tomei, M., Baraldi, L., Bronzin, S., & Cucchiara, R. (2021). Estimating (and fixing) the Effect of Face Obfuscation in Video Recognition. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops Virtual. https://doi.org/10.1109/CVPRW53098.2021.00364

Caputo, A., Giacchetti, A., Soso, S., Pintani, D., D'Eusanio, A., Pini, S., Borghi, G., Simoni, A., Vezzani, R., Cucchiara, R., Ranieri, A., Giannini, F., Lupinetti, K., Monti, M., Maghoumi, M., Laviola Jr, J., Le, M., Nguyen, H., & Tran, M. (2021). SHREC 2021: Skeleton-based hand gesture recognition in the wild. COMPUTERS & GRAPHICS. https://doi.org/10.1016/j.cag.2021.07.007

Pollastri, F., Maroñas, J., Bolelli, F., Ligabue, G., Paredes, R., Magistroni, R., & Grana, C. (2021). Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification. International Conference on Pattern Recognition. https://doi.org/10.1109/ICPR48806.2021.9412685

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Pollastri, F., Parreño, M., Maroñas, J., Bolelli, F., Paredes, R., Ramos, D., & Grana, C. (2021). A Deep Analysis on High Resolution Dermoscopic Image Classification. IET COMPUTER VISION. https://doi.org/10.1049/cvi2.12048

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Caputo, F. M., Burato, S., Pavan, G., Voillemin, T., Wannous, H., Vandeborre, J. P., Maghoumi, M., Taranta, E. M., Razmjoo, A., J. J. Laviola Jr., Manganaro, F., Pini, S., Borghi, G., Vezzani, R., Cucchiara, R., Nguyen, H., Tran, M. T., & Giachetti, A. (2019). SHREC 2019 Track: Online Gesture Recognition. Eurographics Workshop on 3D Object Retrieval (3DOR). https://doi.org/10.2312/3dor.20191067

Cascianelli, S., Crocetti, F., Costante, G., Valigi, P., & Fravolini, M. L. (2019). Data-Based Design of Robust Fault Isolation Residuals Using LASSO optimization. International Conference on Control, Automation and Diagnosis (ICCAD). https://doi.org/10.1109/ICCAD46983.2019.9037959

Roberti, I., Lovino, M., Di Cataldo, S., Ficarra, E., & Urgese, G. (2019). Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. https://doi.org/10.3390/ijms20082035

Boccignone, G., Cuculo, V., D'Amelio, A., & Lanzarotti, R. (2019). Social traits from stochastic paths in the core affect space. EAI International Conference on Pervasive Computing Technologies for Healthcare Trento. https://doi.org/10.1145/3329189.3329220

Allegretti, S., Bolelli, F., Cancilla, M., & Grana, C. (2019). A Block-Based Union-Find Algorithm to Label Connected Components on GPUs. International Conference on Image Analysis and Processing. https://doi.org/10.1007/978-3-030-30645-8_25

Cornia, M., Baraldi, L., Rezazadegan Tavakoli, H., & Cucchiara, R. (2019). Towards Cycle-Consistent Models for Text and Image Retrieval. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-030-11018-5_58

Marilisa, M., Grassi, E., Urgese, G., Emanuele, P., Gabriele Pizzino, C., Bertotti, A., & Ficarra, E. (2019). Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis. CIBB 2019 - 16th International Conference on Computational Intelligence in Bioinformatics and Biostatistics Bergamo. https://iris.unimore.it/handle/11380/1240369

Cuculo, V., D'Amelio, A., Grossi, G., Lanzarotti, R., & Lin, J. (2019). Robust single-sample face recognition by sparsity-driven sub-dictionary learning using deep features. SENSORS. https://doi.org/10.3390/s19010146

Simonetti, G., Padella, A., Do Valle, I. F., Fontana, M. C., Fonzi, E., Bruno, S., Baldazzi, C., Guadagnuolo, V., Manfrini, M., Ferrari, A., Paolini, S., Papayannidis, C., Marconi, G., Franchini, E., Zuffa, E., Laginestra, M. A., Zanotti, F., Astolfi, A., Iacobucci, I., ... Martinelli, G. (2019). Aneuploid acute myeloid leukemia exhibits a signature of genomic alterations in the cell cycle and protein degradation machinery. CANCER. https://doi.org/10.1002/cncr.31837

Palazzi, A., Bergamini, L., Calderara, S., & Cucchiara, R. (2019). End-to-end 6-DoF Object Pose Estimation through Differentiable Rasterization. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-030-11015-4_53

Cascianelli, S., Astolfi, D., Costante, G., Castellani, F., & Fravolini, M. L. (2019). Experimental Prediction Intervals for Monitoring Wind Turbines: an Ensemble Approach. International Conference on Control, Automation and Diagnosis (ICCAD). https://doi.org/10.1109/ICCAD46983.2019.9037920

Vincenzi, S., Porrello, A., Buzzega, P., Conte, A., Ippoliti, C., Candeloro, L., Di Lorenzo, A., Capobianco Dondona, A., & Calderara, S. (2019). Spotting Insects from Satellites: Modeling the Presence of Culicoides Imicola Through Deep CNNs. International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). https://doi.org/10.1109/SITIS.2019.00036

Ponzio, F., Macii, E., Ficarra, E., & Di Cataldo, S. (2019). Going Deeper into Colorectal Cancer Histopathology. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. https://doi.org/10.1007/978-3-030-29196-9_7

Allegretti, S., Bolelli, F., Cancilla, M., Pollastri, F., Canalini, L., & Grana, C. (2019). How does Connected Components Labeling with Decision Trees perform on GPUs?. International Conference on Computer Analysis of Images and Patterns. https://doi.org/10.1007/978-3-030-29888-3_4

Alletto, S., Abati, D., Calderara, S., Cucchiara, R., & Rigazio, L. (2019). Self-Supervised Optical Flow Estimation by Projective Bootstrap. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS. https://doi.org/10.1109/TITS.2018.2873980

Padella And, A., Simonetti And, G., Paciello And, G., Giotopoulos And, G., Baldazzi And, C., Righi And, S., Ghetti And, M., Stengel And, A., Guadagnuolo And, V., De Tommaso And, R., Papayannidis And, C., Robustelli And, V., Franchini And, E., Ghelli Luserna Di Rorà And, A., Ferrari And, A., Fontana And Maria, C., Bruno And, S., Ottaviani And, E., Soverini And, S., ... Martinelli And, G. (2019). Novel and Rare Fusion Transcripts Involving Transcription Factors and Tumor Suppressor Genes in Acute Myeloid Leukemia. CANCERS. https://doi.org/10.3390/cancers11121951

Ponzio, F., Urgese, G., Ficarra, E., & Di Cataldo, S. (2019). Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology. ELECTRONICS. https://doi.org/10.3390/electronics8030256

Tomei, M., Cornia, M., Baraldi, L., & Cucchiara, R. (2019). Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2019.00600

Astolfi, D., Castellani, F., Fravolini, M., Cascianelli, S., & Terzi, L. (2019). A SCADA-Based Method for Estimating the Energy Improvement from Wind Turbine Retrofitting. XV Conference of the Italian Association for Wind Engineering (IN-VENTO). https://doi.org/10.1007/978-3-030-12815-9_5

Landi, F., Baraldi, L., Corsini, M., & Cucchiara, R. (2019). Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1178762

Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2019). Worldly eyes on video: Learnt vs. reactive deployment of attention to dynamic stimuli. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-030-30642-7_12

Bolelli, F., & Grana, C. (2019). Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-030-30645-8_14

Siarohin, A., Sangineto, E., & Sebe, N. (2019). Whitening and coloring batch transform for GANS. International Conference on Learning Representations (ICLR). https://iris.unimore.it/handle/11380/1264571

Giuseppe, M., Bergamini, L., Porrello, A., Del Negro, E., Capobianco Dondona, A., Di Tondo, F., & Calderara, S. (2019). METODO DI VALUTAZIONE DI UNO STATO DI SALUTE DI UN ELEMENTO ANATOMICO, RELATIVO DISPOSITIVO DI VALUTAZIONE E RELATIVO SISTEMA DI VALUTAZIONE. https://iris.unimore.it/handle/11380/1182418

Roy, S., Siarohin, A., Sangineto, E., Bulo, S. R., Sebe, N., & Ricci, E. (2019). Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2019.00970

Canalini, L., Pollastri, F., Bolelli, F., Cancilla, M., Allegretti, S., & Grana, C. (2019). Skin Lesion Segmentation Ensemble with Diverse Training Strategies. International Conference on Computer Analysis of Images and Patterns. https://doi.org/10.1007/978-3-030-29888-3_8

Montemurro, M., Grassi, E., Urgese, G., Gabriele Pizzino, C., Bertotti, A., & Ficarra, E. (2019). Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis. ACM Celebration of Women in Computing: womENcourage 2019 Roma. https://iris.unimore.it/handle/11380/1240305

Boccignone, G., Bodini, M., Cuculo, V., & Grossi, G. (2019). Predictive Sampling of Facial Expression Dynamics Driven by a Latent Action Space. International Conference on Signal Image Technology & Internet Based Systems (SITIS). https://doi.org/10.1109/SITIS.2018.00031

Stefanini, M., Lancellotti, R., Baraldi, L., & Calderara, S. (2019). A Deep-learning-based approach to VM behavior Identification in Cloud Systems. International Conference on Cloud Computing and Services Science (CLOSER). https://doi.org/10.5220/0007708403080315

Borghi, G., Pini, S., Grazioli, F., Vezzani, R., & Cucchiara, R. (2019). Face Verification from Depth using Privileged Information. British Machine Vision Conference (BMVC). https://iris.unimore.it/handle/11380/1164474

D'Eusanio, A., Pini, S., Borghi, G., Vezzani, R., & Cucchiara, R. (2019). Manual Annotations on Depth Maps for Human Pose Estimation. International Conference on Image Analysis and Processing. https://doi.org/10.1007/978-3-030-30642-7_21

Astolfi, D., Castellani, F., Fravolini, M. L., Cascianelli, S., & Terzi, L. (2019). Precision computation of wind turbine power upgrades: An aerodynamic and control optimization test case. JOURNAL OF ENERGY RESOURCES TECHNOLOGY. https://doi.org/10.1115/1.4042450

Pini, S., Grazioli, F., Borghi, G., Vezzani, R., & Cucchiara, R. (2018). Learning to Generate Facial Depth Maps. The 6th international conference on 3D Vision (3DV). https://doi.org/10.1109/3DV.2018.00078

Fabbri, M., Lanzi, F., Calderara, S., Palazzi, A., Vezzani, R., & Cucchiara, R. (2018). Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-030-01225-0_27

Siarohin, A., Sangineto, E., Lathuiliere, S., & Sebe, N. (2018). Deformable GANs for Pose-Based Human Image Generation. Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2018.00359

Abdollahyan, M., Cascianelli, S., Bellocchio, E., Costante, G., Ciarfuglia, T. A., Bianconi, F., Smeraldi, F., & Fravolini, M. L. (2018). Visual Localization in the Presence of Appearance Changes Using the Partial Order Kernel. 26th European Signal Processing Conference (EUSIPCO). https://iris.unimore.it/handle/11380/1200047

Cornia, M., Pini, S., Baraldi, L., & Cucchiara, R. (2018). Automatic Image Cropping and Selection using Saliency: an Application to Historical Manuscripts. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-319-73165-0_17

Bello-Cerezo, R., Bianconi, F., Cascianelli, S., Fravolini, M. L., Di Maria, F., & Smeraldi, F. (2018). Hand-designed local image descriptors vs. off-the-shelf CNN-based features for texture classification: an experimental comparison. International Conference on Intelligent Interactive Multimedia Systems and Services 2017. https://doi.org/10.1007/978-3-319-59480-4_1

Cascianelli, S., Bello-Cerezo, R., Bianconi, F., Fravolini, M. L., Belal, M., Palumbo, B., & Kather, J. N. (2018). Dimensionality reduction strategies for cnn-based classification of histopathological images. International Conference on Intelligent Interactive Multimedia Systems and Services 2017. https://doi.org/10.1007/978-3-319-59480-4_3

Borghi, G., Grazioli, F., Vezzani, R., Pini, S., & Cucchiara, R. (2018). Sistema e metodo di autenticazione di persone in ambienti a limitata visibilità. https://iris.unimore.it/handle/11380/1395910

Scicolone, O. M., Paciello, G., & Ficarra, E. (2018). geneEX a novel tool to assess differential expression from gene and exon sequencing data. International Conference on Bioinformatics Models, Methods and Algorithms. https://doi.org/10.5220/0006657501740181

Bolelli, F., Baraldi, L., Cancilla, M., & Grana, C. (2018). Connected Components Labeling on DRAGs. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2018.8545505

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2018). Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3177745

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2018). SAM: Pushing the Limits of Saliency Prediction Models. Women in Computer Vision Workshop Salt Lake City. https://doi.org/10.1109/CVPRW.2018.00250

Vezzali, L., Di Bernardo, G. A., Cadamuro, A., Cocco, V. M., Crapolicchio, E., Bicocchi, N., Calderara, S., Giovannini, D., Zambonelli, F., & Cucchiara, R. (2018). Using Kinect camera for investigating intergroup non-verbal human interactions. IV workshop on Virtual Social Interactions Londra. https://iris.unimore.it/handle/11380/1168519

Bolelli, F., Baraldi, L., & Grana, C. (2018). A Hierarchical Quasi-Recurrent approach to Video Captioning. IEEE International Conference on Image Processing, Applications and Systems (IPAS). https://doi.org/10.1109/IPAS.2018.8708893

Yan, Y., Nie, L., & Cucchiara, R. (2018). Guest editorial: Special section on “multimedia understanding via multimodal analytics”. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS. https://doi.org/10.1145/3192334

Mancini, M., Monaldi, C., De Santis, S., Papayannidis, C., Rondoni, M., Bavaro, L., Martelli, M., Maria Chiara, A., Curti, A., Ficarra, E., Paciello, G., Chiara Fontana, M., Zanotti, R., Bonifacio, M., Scaffidi, L., Pagano, L., Criscuolo, M., Albano, F., Ciceri, F., ... Soverini, S. (2018). MDM2 and Aurora Kinase a Contribute to SETD2 Loss of Function in Advanced Systemic Mastocytosis: Implications for Pathogenesis and Treatment. BLOOD. https://doi.org/10.1182/blood-2018-99-113278

Cascianelli, S., Costante, G., Ciarfuglia, T. A., Valigi, P., & Fravolini, M. L. (2018). Full-GRU Natural Language Video Description for Service Robotics Applications. IEEE ROBOTICS AND AUTOMATION LETTERS. https://doi.org/10.1109/LRA.2018.2793345

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2018). Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE TRANSACTIONS ON IMAGE PROCESSING. https://doi.org/10.1109/TIP.2018.2851672

Ballotta, D., Borghi, G., Vezzani, R., & Cucchiara, R. (2018). Head Detection with Depth Images in the Wild. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). https://doi.org/10.5220/0006541000560063

Calderara, S., Bergamini, L., Capobianco Dondona, A., Del Negro, E., & Di Tondo, F. (2018). Metodo e sistema per il riconoscimento biometrico univoco di un animale, basati sull'utilizzo di tecniche di deep learning. https://iris.unimore.it/handle/11380/1182417

Goddi, A., Ponzio, F., Ficarra, E., Di Cataldo, S., & Roatta, S. (2018). Low-cost pupillometry for human-computer interface. Convegno Le Tecnologie Assistive nell'Età Adulta: realtà europee e nuovi approcci riabilitativi. https://iris.unimore.it/handle/11380/1240299

Bertacchi, S., Al Jawarneh, I. M., Apollonio, F. I., Bertacchi, G., Cancilla, M., Foschini, L., Grana, C., Martuscelli, G., & Montanari, R. (2018). SACHER Project: A Cloud Platform and Integrated Services for Cultural Heritage and for Restoration. EAI International Conference on Smart Objects and Technologies for Social Good (GOODTECHS). https://doi.org/10.1145/3284869.3284871

Borghi, G., Frigieri, E., Vezzani, R., & Cucchiara, R. (2018). Hands on the wheel: a Dataset for Driver Hand Detection and Tracking. IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/FG.2018.00090

L’Abbate, A., Iacobucci, I., Lonoce, A., Turchiano, A., Ficarra, E., Paciello, G., Cattina, F., Ferrari, A., Imbrogno, E., Agostinelli, C., Zinzani, P., Martinelli, G., Derenzini, E., & Storlazzi, C. T. (2018). RALE051: a novel established cell line of sporadic Burkitt lymphoma. LEUKEMIA & LYMPHOMA. https://doi.org/10.1080/10428194.2017.1372580

Fabbri, M., Borghi, G., Lanzi, F., Vezzani, R., Calderara, S., & Cucchiara, R. (2018). Domain Translation with Conditional GANs: from Depth to RGB Face-to-Face. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1159885

Ravanbakhsh, M., Nabi, M., Mousavi, H., Sangineto, E., & Sebe, N. (2018). Plug-and-play CNN for crowd motion analysis: An application in abnormal event detection. IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV.2018.00188

Venturelli, M., Borghi, G., Vezzani, R., & Cucchiara, R. (2018). Deep Head Pose Estimation from Depth Data for In-car Automotive Applications. International Workshop on Understanding Human Activities Through 3D Sensors (UHA3DS). https://doi.org/10.1007/978-3-319-91863-1_6

Boccignone, G., Conte, D., Cuculo, V., D'Amelio, A., Grossi, G., & Lanzarotti, R. (2018). Deep construction of an affective latent space via multimodal enactment. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS. https://doi.org/10.1109/TCDS.2017.2788820

Bergamini, L., Sposato, M., Peruzzini, M., Vezzani, R., & Pellicciari, M. (2018). Deep Learning-Based Method for Vision-Guided Robotic Grasping of Unknown Objects. ADVANCES IN TRANSDISCIPLINARY ENGINEERING. https://doi.org/10.3233/978-1-61499-898-3-281

Baraldi, L., Cornia, M., Grana, C., & Cucchiara, R. (2018). Aligning Text and Document Illustrations: towards Visually Explainable Digital Humanities. International Conference on Pattern Recognition. https://doi.org/10.1109/ICPR.2018.8545064

Cuculo, V., D’Amelio, A., Lanzarotti, R., & Boccignone, G. (2018). Personality Gaze Patterns Unveiled via Automatic Relevance Determination. International Conference on Software Technologies: Applications and Foundations (STAF). https://doi.org/10.1007/978-3-030-04771-9_14

Bergamini, L., Porrello, A., Andrea Capobianco Dondona, Ercole Del Negro, Mattioli, M., D’Alterio, N., & Calderara, S. (2018). Multi-views Embedding for Cattle Re-identification. International Conference on Signal Image Technology and Internet Based Systems (SITIS). https://doi.org/10.1109/SITIS.2018.00036

Ponzio, F., Macii, E., Ficarra, E., & Di Cataldo, S. (2018). Colorectal Cancer Classification using Deep Convolutional Networks. An Experimental Study. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOIMAGING). https://doi.org/10.5220/0006643100580066

Allegretti, S., Bolelli, F., Cancilla, M., & Grana, C. (2018). Optimizing GPU-Based Connected Components Labeling Algorithms. IEEE International Conference on Image Processing, Applications and Systems (IPAS). https://doi.org/10.1109/IPAS.2018.8708900

Bolelli, F., Borghi, G., & Grana, C. (2018). XDOCS: An Application to Index Historical Documents. Italian Research Conference on Digital Libraries. https://doi.org/10.1007/978-3-319-73165-0_15

Roy, S., Sangineto, E., Demir, B., & Sebe, N. (2018). DEEP METRIC AND HASH-CODE LEARNING FOR CONTENT-BASED RETRIEVAL OF REMOTE SENSING IMAGES. Annual IEEE International Geoscience and Remote Sensing Symposium (IGARSS). https://doi.org/10.1109/IGARSS.2018.8518381

Di Bernardo, G. A., Vezzali, L., Giovannini, D., Palazzi, A., Calderara, S., Bicocchi, N., Zambonelli, F., Cucchiara, R., Cadamuro, A., & Cocco, V. M. (2018). Comportamento non verbale intergruppi “oggettivo”: una replica dello studio di Dovidio, kawakami e Gaertner (2002). XV Congresso Nazionale della Sezione di Psicologia Sociale dell’Associazione Italiana di Psicologia Bari. https://iris.unimore.it/handle/11380/1166060

Baraldi, L., Douze, M., Cucchiara, R., & Jégou, H. (2018). LAMV: Learning to align and match videos with kernelized temporal layers. Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2018.00814

Marin-Reyes, P. A., Bergamini, L., Lorenzo-Navarro, J., Palazzi, A., Calderara, S., & Cucchiara, R. (2018). Unsupervised vehicle re-identification using triplet networks. Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2018.00030

Cornia, M., Abati, D., Baraldi, L., Palazzi, A., Calderara, S., & Cucchiara, R. (2018). Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era. INTELLIGENZA ARTIFICIALE. https://doi.org/10.3233/IA-170033

Subhankar, R., Sangineto, E., Demir, B., & Sebe, N. (2018). Semantic-Fusion Gans for Semi-Supervised Satellite Image Classification. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2018.8451836

Ballotta, D., Borghi, G., Vezzani, R., & Cucchiara, R. (2018). Fully Convolutional Network for Head Detection with Depth Images. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1159887

Pollastri, F., Bolelli, F., Paredes, R., & Grana, C. (2018). Improving Skin Lesion Segmentation with Generative Adversarial Networks. IEEE International Symposium on Computer-Based Medical Systems (CBMS). https://doi.org/10.1109/CBMS.2018.00086

Isella, C., Brundu, F. G., Bellomo, S. E., Galimi, F., Zanella, E., Consalvo Petti, R., Fiori, A., Orzan, F., Senetta, R., Boccaccio, C., Ficarra, E., Marchionni, L., Trusolino, L., Medico, E., & Bertotti, A. (2017). Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer. NATURE COMMUNICATIONS. https://doi.org/10.1038/ncomms15107

Boccignone, G., Cuculo, V., Grossi, G., Lanzarotti, R., & Migliaccio, R. (2017). Virtual EMG via Facial Video Analysis. ICIAP International Conference on Image Analysis and Processing :. https://doi.org/10.1007/978-3-319-68560-1_18

Ceruti, C., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2017). Taking the Hidden Route: Deep Mapping of Affect via 3D Neural Networks. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-70742-6_18

Solera, F., Calderara, S., Ristani, E., Tomasi, C., & Cucchiara, R. (2017). Tracking social groups within and across cameras. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. https://doi.org/10.1109/TCSVT.2016.2607378

Shekhar, R., Pezzelle, S., Herbelot, A., Nabi, M., Sangineto, E., & Bernardi, R. (2017). Vision and language integration: Moving beyond objects. International Conference on Computational Semantics (IWCS). https://iris.unimore.it/handle/11380/1281620

Cascianelli, S., Costante, G., Bellocchio, E., Valigi, P., Fravolini, M. L., & Ciarfuglia, T. A. (2017). Robust visual semi-semantic loop closure detection by a covisibility graph and CNN features. ROBOTICS AND AUTONOMOUS SYSTEMS. https://doi.org/10.1016/j.robot.2017.03.004

Borghi, G., Venturelli, M., Vezzani, R., & Cucchiara, R. (2017). POSEidon: Face-from-Depth for Driver Pose Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2017.583

Corbelli, A., Baraldi, L., Balducci, F., Grana, C., & Cucchiara, R. (2017). Layout analysis and content classification in digitized books. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-319-56300-8_14

Palazzi, A., Solera, F., Calderara, S., Alletto, S., & Cucchiara, R. (2017). Learning Where to Attend Like a Human Driver. IEEE Intelligent Vehicles Symposium. https://iris.unimore.it/handle/11380/1133081

Fabbri, M., Calderara, S., & Cucchiara, R. (2017). Generative Adversarial Models for People Attribute Recognition in Surveillance. IEEE International Conference on Advanced Video and Signal based Surveillance Lecce, Italy 29th. https://iris.unimore.it/handle/11380/1142848

Di Bernardo, G. A., Vezzali, L., Palazzi, A., Calderara, S., Bicocchi, N., Zambonelli, F., Cucchiara, R., & Cadamuro, A. (2017). A new era in the study of intergroup nonverbal behaviour: Studying intergroup dyadic interactions “online”. General Meeting of the European Association of Social Psychology. https://iris.unimore.it/handle/11380/1143262

Balducci, F., & Borghi, G. (2017). An Annotation Tool for a Digital Library System of Epidermal Data. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-319-68130-6_14

Urgese, G., Paciello, G., Macii, E., Acquaviva, A., & Ficarra, E. (2017). isomiR-SEA: miRNA and isomiR expression level detection in seven RNA-Seq datasets. ISMB. https://doi.org/10.7490/f1000research.1114698.1

Balducci, F., & Grana, C. (2017). Pixel classification methods to detect skin lesions on dermoscopic medical images. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-68548-9_41

Cascianelli, S., Scialpi, M., Amici, S., Forini, N., Minestrini, M., Luca Fravolini, M., Sinzinger, H., Schillaci, O., & Palumbo, B. (2017). Role of artificial intelligence techniques (automatic classifiers) in molecular imaging modalities in neurodegenerative diseases. CURRENT ALZHEIMER RESEARCH. https://doi.org/10.2174/1567205013666160620122926

Manfredi, M., Grana, C., Cucchiara, R., & Smeulders, A. W. M. (2017). Segmentation models diversity for object proposals. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2016.06.005

Bolelli, F. (2017). Indexing of Historical Document Images: Ad Hoc Dewarping Technique for Handwritten Text. Italian Research Conference on Digital Libraries. https://doi.org/10.1007/978-3-319-68130-6_4

Ravanbakhsh, M., Nabi, M., Sangineto, E., Marcenaro, L., Regazzoni, C., & Sebe, N. (2017). Abnormal event detection in videos using generative adversarial nets. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2017.8296547

Alletto, S., Serra, G., & Cucchiara, R. (2017). Video registration in egocentric vision under day and night illumination changes. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2016.09.010

Grana, C., & Baraldi, L. (2017). Preface. Italian Research Conference on Digital Libraries (IRCDL). https://iris.unimore.it/handle/11380/1229784

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2017). Visual Saliency for Image Captioning in New Multimedia Services. IEEE International Conference on Multimedia and Expo Workshops Hong Kong. https://doi.org/10.1109/ICMEW.2017.8026277

Baraldi, L., Grana, C., & Cucchiara, R. (2017). NeuralStory: an Interactive Multimedia System for Video Indexing and Re-use. International Workshop on Content-Based Multimedia Indexing. https://doi.org/10.1145/3095713.3095735

Shekhar, R., Pezzelle, S., Klimovich, Y., Herbelot, A., Nabi, M., Sangineto, E., & Bernardi, R. (2017). FOIL it! Find One mismatch between Image and Language caption. Annual Meeting of the Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-1024

Solera, F., Calderara, S., & Cucchiara, R. (2017). From Groups to Leaders and Back. Exploring Mutual Predictability Between Social Groups and Their Leaders. https://doi.org/10.1016/B978-0-12-809276-7.00010-2

Bergamini, L., Calderara, S., Bicocchi, N., Ferrari, A., & Vitetta, G. (2017). Signal Processing and Machine Learning for Diplegia Classification. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-70742-6_9

Cornia, M., Abati, D., Baraldi, L., Palazzi, A., Calderara, S., & Cucchiara, R. (2017). Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era. International Conference of the Italian Association for Artificial Intelligence. https://doi.org/10.1007/978-3-319-70169-1_29

Baraldi, L., Grana, C., & Cucchiara, R. (2017). A Video Library System Using Scene Detection and Automatic Tagging. Italian Research Conference on Digital Libraries Modena. https://doi.org/10.1007/978-3-319-68130-6_5

Boccignone, G., Donatello, C., Cuculo, V., & Lanzarotti, R. (2017). AMHUSE: A Multimodal dataset for HUmour SEnsing. ACM International Conference on Multimodal Interaction (ICMI). https://doi.org/10.1145/3136755.3136806

Cascianelli, S., Tranfaglia, C., Fravolini, M., Bianconi, F., Minestrini, M., Nuvoli, S., Tambasco, N., Dottorini, M., & Palumbo, B. (2017). Right putamen and age are the most discriminant features to diagnose Parkinson's disease by using 123I-FP-CIT brain SPET data by using an artificial neural network classifier, a classification tree (ClT). HELLENIC JOURNAL OF NUCLEAR MEDICINE. https://iris.unimore.it/handle/11380/1200039

Baraldi, L., Grana, C., & Cucchiara, R. (2017). Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks. IEEE TRANSACTIONS ON MULTIMEDIA. https://doi.org/10.1109/TMM.2016.2644872

Cucchiara, R., Matsushita, Y., Sebe, N., & Soatto, S. (2017). Editorial Message from the Program Chairs. IEEE International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV.2017.6

Alessandro, D., Cuculo, V., Grossi, G., Lanzarotti, R., & Lin, J. (2017). A Note on Modelling a Somatic Motor Space for Affective Facial Expressions. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-70742-6_17

Paciello, G., & Ficarra, E. (2017). FuGePrior: A novel gene fusion prioritization algorithm based on accurate fusion structure analysis in cancer RNA-seq samples. BMC BIOINFORMATICS. https://doi.org/10.1186/s12859-016-1450-6

Apollonio, F. I., Rizzo, F., Bertacchi, S., Dall'Osso, G., Corbelli, A., & Grana, C. (2017). SACHER: Smart Architecture for Cultural Heritage in Emilia Romagna. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-319-68130-6_12

Balducci, F., Grana, C., & Cucchiara, R. (2017). Affective level design for a role-playing videogame evaluated by a brain–computer interface and machine learning methods. THE VISUAL COMPUTER. https://doi.org/10.1007/s00371-016-1320-2

Bolelli, F., Borghi, G., & Grana, C. (2017). Historical Handwritten Text Images Word Spotting through Sliding Window HOG Features. International Conference on Image Analysis and Processing. https://doi.org/10.1007/978-3-319-68560-1_65

Baraldi, L., Grana, C., & Cucchiara, R. (2017). Hierarchical Boundary-Aware Neural Encoder for Video Captioning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). https://doi.org/10.1109/CVPR.2017.339

Pini, S., Ben Ahmed, O., Cornia, M., Baraldi, L., Cucchiara, R., & Huet, B. (2017). Modeling Multimodal Cues in a Deep Learning-based Framework for Emotion Recognition in the Wild. ACM International Conference on Multimodal Interaction. https://doi.org/10.1145/3136755.3143006

Serra, G., Cucchiara, R., Kitani, K. M., & Civera, J. (2017). Guest Editorial Special Issue on Wearable and Ego-Vision Systems for Augmented Experience. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS. https://doi.org/10.1109/THMS.2016.2646600

Venturelli, M., Borghi, G., Vezzani, R., & Cucchiara, R. (2017). From Depth Data to Head Pose Estimation: a Siamese approach. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). https://doi.org/10.5220/0006104501940201

Balducci, F., & Grana, C. (2017). Affective Classication of Gaming Activities Coming From RPG Gaming Sessions. International Conference on E-Learning and Games (Edutainment). https://doi.org/10.1007/978-3-319-65849-0_11

Frigieri, E., Borghi, G., Vezzani, R., & Cucchiara, R. (2017). Fast and Accurate Facial Landmark Localization in Depth Images for In-car Applications. International Conference on Image Analysis and Processing Catania. https://doi.org/10.1007/978-3-319-68560-1_48

Varini, P., Serra, G., & Cucchiara, R. (2017). Personalized Egocentric Video Summarization of Cultural Tour on User Preferences Input. IEEE TRANSACTIONS ON MULTIMEDIA. https://doi.org/10.1109/TMM.2017.2705915

Pini, S., Cornia, M., Baraldi, L., & Cucchiara, R. (2017). Towards Video Captioning with Naming: a Novel Dataset and a Multi-Modal Approach. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-68548-9_36

Palazzi, A., Borghi, G., Abati, D., Calderara, S., & Cucchiara, R. (2017). Learning to Map Vehicles into Bird's Eye View. International Conference on Image Analysis and Processing Catania. https://doi.org/10.1007/978-3-319-68560-1_21

Ponzio, F., Macii, E., Ficarra, E., & Di Cataldo, S. (2017). A multi-modal brain image registration framework for US-guided neuronavigation systems. Integrating MR and US for minimally invasive neuroimaging. International Conference on Bioimaging. https://doi.org/10.5220/0006239201140121

Bolelli, F., Cancilla, M., & Grana, C. (2017). Two More Strategies to Speed Up Connected Components Labeling Algorithms. International Conference on Image Analysis and Processing Catania. https://doi.org/10.1007/978-3-319-68548-9_5

Palumbo, B., Santonicola, A., Cascianelli, S., Nuvoli, S., Fravolini, M., Minestrini, M., Scialpi, M., Tambasco, N., Spanu, A., & Madeddu, G. (2017). Role of an artificial neural network classifier, a classification tree (ClT), to diagnose Parkinson's disease in early phase by using 123I-FP-CIT brain SPECT data. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. https://iris.unimore.it/handle/11380/1200036

Di Cataldo, S., & Ficarra, E. (2017). Mining textural knowledge in biological images: applications, methods and trends. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. https://doi.org/10.1016/j.csbj.2016.11.002

Borghi, G., Gasparini, R., Vezzani, R., & Cucchiara, R. (2017). Embedded Recurrent Network for Head Pose Estimation in Car. IEEE Intelligent Vehicles Symposium Redondo Beach. https://iris.unimore.it/handle/11380/1128286

Baraldi, L., Grana, C., Messina, A., & Cucchiara, R. (2016). A Browsing and Retrieval System for Broadcast Videos using Scene Detection and Automatic Annotation. ACM international conference on Multimedia Amsterdam, The Netherlands. https://doi.org/10.1145/2964284.2973825

Alletto, S., Cucchiara, R., Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., & Serra, G. (2016). An Indoor Location-aware System for an IoT-based Smart Museum. IEEE INTERNET OF THINGS JOURNAL. https://doi.org/10.1109/JIOT.2015.2506258

Barnard, S., Calderara, S., Pistocchi, S., Cucchiara, R., Podaliri Vulpiani, M., Messori, S., & Ferri, N. (2016). Quick, accurate, smart: 3D computer vision technology helps assessing confined animals' behaviour. PLOS ONE. https://doi.org/10.1371/journal.pone.0158748

Cascianelli, S., Costante, G., Bellocchio, E., Valigi, P., Fravolini, M. L., & Ciarfuglia, T. A. (2016). A robust semi-semantic approach for visual localization in urban environment. IEEE International Smart Cities Conference (ISC2). https://doi.org/10.1109/ISC2.2016.7580899

Palazzi, A., Calderara, S., Bicocchi, N., Vezzali, L., Di Bernardo, G. A., Zambonelli, F., & Cucchiara, R. (2016). Spotting prejudice with nonverbal behaviours. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). https://doi.org/10.1145/2971648.2971703

Zen, G., Porzi, L., Sangineto, E., Ricci, E., & Sebe, N. (2016). Learning Personalized Models for Facial Expression Analysis and Gesture Recognition. IEEE TRANSACTIONS ON MULTIMEDIA. https://doi.org/10.1109/TMM.2016.2523421

Palumbo, B., Nuvoli, S., Cascianelli, S., Santonicola, A., Fravolini, M., Tambasco, N., Scialpi, M., Spanu, A., & Madeddu, G. (2016). Comparison of the diagnostic performance of two methods of semi-quantitative analysis of 123I-FP-CIT brain SPECT images in mild Parkinson's disease. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. https://iris.unimore.it/handle/11380/1200040

Baraldi, L., Grana, C., Borghi, G., Vezzani, R., & Cucchiara, R. (2016). Shot, scene and keyframe ordering for interactive video re-use. International Conference on Computer Graphics Theory and Application (GRAPP). https://doi.org/10.5220/0005768706260631

Rota, P., Sangineto, E., Conotter, V., & Pramerdorfer, C. (2016). Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis?. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2016.7900012

A., P., G., S., Paciello, G., A., F., E., Z., C., B., V., G., C., P., V., R., E., I., N., T., M., C., M., D., I., I., Ct, S., Ficarra, E., & G., M. (2016). A COMBINED APPROACH TO DETECT RARE FUSION EVENTS IN ACUTE MYELOID LEUKEMIA. Congress of the European Hematology Association. https://iris.unimore.it/handle/11380/1240388

Natale, M., Caiazzo, A., & Ficarra, E. (2016). A novel gaussian extrapolation approach for 2-D gel electrophoresis saturated protein spots. METHODS IN MOLECULAR BIOLOGY. https://doi.org/10.1007/978-1-4939-3255-9_12

Gasparini, R., Alletto, S., Serra, G., & Cucchiara, R. (2016). Optimizing image registration for interactive applications. International Conference on Augmented Reality, Virtual Reality, and Computer Graphics (AVR). https://doi.org/10.1007/978-3-319-40621-3_36

Manfredi, M., Grana, C., & Pellacani, G. (2016). Skin Surface Reconstruction and 3D Vessels Segmentation in Speckle Variance Optical Coherence Tomography. International Conference on Computer Vision Theory and Applications Roma. https://doi.org/10.5220/0005758702340240

Di Cataldo, S., Tonti, S., Bottino, A. G., & Ficarra, E. (2016). ANAlyte: a modular image analysis tool for ANA testing with Indirect Immunofluorescence. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. https://doi.org/10.1016/j.cmpb.2016.02.005

Grana, C., Serra, G., Manfredi, M., Coppi, D., & Cucchiara, R. (2016). Layout analysis and content enrichment of digitized books. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-014-2360-0

Ristani, E., Solera, F., Zou, R., Cucchiara, R., & Tomasi, C. (2016). Performance measures and a data set for multi-target, multi-camera tracking. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-319-48881-3_2

Grana, C., Bolelli, F., Baraldi, L., & Vezzani, R. (2016). YACCLAB - Yet Another Connected Components Labeling Benchmark. 23rd International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2016.7900112

Fiore, G. D., Mainetti, L., Mighali, V., Patrono, L., Alletto, S., Cucchiara, R., & Serra, G. (2016). A location-aware architecture for an IoT-based smart museum. INTERNATIONAL JOURNAL OF ELECTRONIC GOVERNMENT RESEARCH. https://doi.org/10.4018/IJEGR.2016040103

Coppi, D., Calderara, S., & Cucchiara, R. (2016). Transductive People Tracking in Unconstrained Surveillance. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. https://doi.org/10.1109/TCSVT.2015.2416555

Alletto, S., Abati, D., Serra, G., & Cucchiara, R. (2016). Exploring Architectural Details Through aWearable Egocentric Vision Device. SENSORS. https://doi.org/10.3390/s16020237

Solera, F., Calderara, S., & Cucchiara, R. (2016). Socially Constrained Structural Learning for Groups Detection in Crowd. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2015.2470658

Paci, F., Baraldi, L., Serra, G., Cucchiara, R., & Benini, L. (2016). Context Change Detection for an Ultra-Low Power Low-Resolution Ego-Vision Imager. First International Workshop on Egocentric Perception, Interaction and Computing Amsterdam, The Netherlands. https://doi.org/10.1007/978-3-319-46604-0_42

Baraldi, L., Grana, C., & Cucchiara, R. (2016). Analysis and Re-use of Videos in Educational Digital Libraries with Automatic Scene Detection. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-319-41938-1_16

Corbelli, A., Baraldi, L., Grana, C., & Cucchiara, R. (2016). Historical Document Digitization through Layout Analysis and Deep Content Classification. International Conference on Pattern Recognition. https://doi.org/10.1109/ICPR.2016.7900272

Antonella, P., Giorgia, S., Anna, F., Paciello, G., Elisa, Z., Carmen, B., Viviana, G., Cristina, P., Valentina, R., Enrica, I., Nicoletta, T., Massimo, D., Ilaria, I., Tiziana Clelia, S., Ficarra, E., Pier Luigi, L., & Giovanni, M. (2016). Novel fusion transcripts identified by RNAseq cooperate with somatic mutations in the pathogenesis of acute myeloid leukemia. CANCER RESEARCH. https://doi.org/10.1158/1538-7445.AM2016-113

Di Cataldo, S., Tonti, S., Ciglieri, E., Ferrini, F., Macii, E., Ficarra, E., & Salio, C. (2016). Automated 3D immunofluorescence analysis of Dorsal Root Ganglia for the investigation of neural circuit alterations: a preliminary study. Federated Conference on Computer Science and Information Systems Gdansk. https://doi.org/10.15439/2016F569

Palumbo, B., Cascianelli, S., Santonicola, A., Minestrini, M., Buresta, T., Fravolini, M., Tambasco, N., Scialpi, M., Nuvoli, S., Spanu, A., & Madeddu, G. (2016). I-123-FP-CIT brain SPECT: tracer uptake values of right putamen are the most discriminant to diagnose Parkinson's disease. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. https://iris.unimore.it/handle/11380/1200041

Borghi, G., Vezzani, R., & Cucchiara, R. (2016). Fast gesture recognition with Multiple StreamDiscrete HMMs on 3D Skeletons. International Conference on Pattern Recognition Cancun. https://doi.org/10.1109/ICPR.2016.7899766

Grana, C., & Serra, G. (2016). Guest editorial: Multimedia for cultural heritage. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-016-3379-1

Baraldi, L., Grana, C., & Cucchiara, R. (2016). Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features. ACM on International Conference on Multimedia Retrieval New. https://doi.org/10.1145/2911996.2912012

Ulrich, M., Themstrup, L., De Carvalho, N., Manfredi, M., Grana, C., Ciardo, S., Kästle, R., Holmes, J., Whitehead, R., Jemec, G. B. E., Pellacani, G., & Welzel, J. (2016). Dynamic Optical Coherence Tomography in Dermatology. DERMATOLOGY. https://doi.org/10.1159/000444706

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2016). Multi-Level Net: a Visual Saliency Prediction Model. Fourth International Workshop on Assistive Computer Vision and Robotics Amsterdam, The Netherlands. https://doi.org/10.1007/978-3-319-48881-3_21

Simona, S., Caterina De, B., Michela, R., Cristina, P., Ficarra, E., Paciello, G., Marco, M., Manuela, M., Roberta, Z., Luigi, S., Giorgina, S., Francesco, A., Serena, M., Chiara, E., Livio, P., Domenica, G., Patrizia, T., & Luana, B. (2016). The Genomic and Transcriptomic Landscape of Systemic Mastocytosis. BLOOD. https://doi.org/10.1182/blood.V128.22.3136.3136

Cucchiara, R., & Del Bimbo, A. (2016). Bridging the experiential gap in cultural visits with computer vision. IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow (RTSI). https://doi.org/10.1109/RTSI.2016.7740552

Bellocchio, E., Costante, G., Cascianelli, S., Valigi, P., & Ciarfuglia, T. A. (2016). SmartSEAL: A ROS based home automation framework for heterogeneous devices interconnection in smart buildings. IEEE International Smart Cities Conference (ISC2). https://iris.unimore.it/handle/11380/1200043

Andrea, B., Claudio, I., Sara E., B., Brundu, F. G., Francesco, G., Ficarra, E., Livio, T., & Enzo, M. (2016). Unsupervised analysis of cancer-cell intrinsic transcriptional traits defines a new classification system for colorectal cancer with improved predictive and prognostic value. CANCER RESEARCH. https://doi.org/10.1158/1538-7445.AM2016-107

Urgese, G., Paciello, G., Acquaviva, A., & Ficarra, E. (2016). isomiR-SEA: An RNA-Seq analysis tool for miRNAs/isomiRs expression level profiling and miRNA-mRNA interaction sites evaluation. BMC BIOINFORMATICS. https://doi.org/10.1186/s12859-016-0958-0

Cornia, M., Baraldi, L., Serra, G., & Cucchiara, R. (2016). A Deep Multi-Level Network for Saliency Prediction. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2016.7900174

Grana, C., Baraldi, L., & Bolelli, F. (2016). Optimized Connected Components Labeling with Pixel Prediction. International Conference on Advanced Concepts for Intelligent Vision Systems. https://doi.org/10.1007/978-3-319-48680-2_38

Vezzani, R., Lombardi, M., Pieracci, A., Santinelli, P., & Cucchiara, R. (2015). A General-Purpose Sensing Floor Architecture for Human-Environment Interaction. ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS. https://doi.org/10.1145/2751566

Fravolini Mario, L., Cascianelli, S., & Fabietti Pier, G. (2015). A Learning Strategy for the Autonomous Control of Type 1 Diabetes. APPLIED ARTIFICIAL INTELLIGENCE. https://doi.org/10.1080/08839514.2015.1038431

Baraldi, L., Paci, F., Serra, G., & Cucchiara, R. (2015). Gesture Recognition using Wearable Vision Sensors to Enhance Visitors' Museum Experiences. IEEE SENSORS JOURNAL. https://doi.org/10.1109/JSEN.2015.2411994

Baraldi, L., Grana, C., & Cucchiara, R. (2015). A Deep Siamese Network for Scene Detection in Broadcast Videos. ACM International Conference on Multimedia (MM). https://doi.org/10.1145/2733373.2806316

Baraldi, L., Grana, C., & Cucchiara, R. (2015). Shot and Scene Detection via Hierarchical Clustering for Re-using Broadcast Video. International Conference on Computer Analysis of Images and Patterns Valletta, Malta. https://doi.org/10.1007/978-3-319-23192-1_67

Alletto, S., Serra, G., & Cucchiara, R. (2015). Egocentric Object Tracking: An Odometry-Based Solution. International Conference on Image Analysis and Processing Genova. https://doi.org/10.1007/978-3-319-23234-8_63

Solera, F., Calderara, S., & Cucchiara, R. (2015). Learning to identify leaders in crowd. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2015.7301282

Vezzani, R., Lombardi, M., & Cucchiara, R. (2015). Automatic configuration and calibration of modular sensing floors. IEEE International Conference on Advanced Video and Signal-Based Surveillance. https://doi.org/10.1109/AVSS.2015.7301799

Balducci, F., Grana, C., & Cucchiara, R. (2015). Classification of Affective Data to Evaluate the Level Design in a Role-Playing Videogame. International Conference on Games and Virtual Worlds for Serious Applications (VS-Games). https://doi.org/10.1109/VS-GAMES.2015.7295766

Vieriu, R. L., Tulyakov, S., Semeniuta, S., Sangineto, E., & Sebe, N. (2015). Facial expression recognition under a wide range of head poses. IEEE International conference and workshops on automatic face and gesture recognition (FG). https://doi.org/10.1109/FG.2015.7163098

Alletto, S., Serra, G., Calderara, S., & Cucchiara, R. (2015). Understanding social relationships in egocentric vision. PATTERN RECOGNITION. https://doi.org/10.1016/j.patcog.2015.06.006

Ciglieri, E., Ferrini, F., Tonti, S., Di Cataldo, S., Ficarra, E., & Salio, C. (2015). An integrated approach for morphofunctional analysis of DRGs in normal and diabetic mice. XVI Congress for the Italian Society for Neuroscience. https://iris.unimore.it/handle/11380/1240310

Varini, P., Serra, G., & Cucchiara, R. (2015). Egocentric video personalization in cultural experiences scenarios. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-23231-7_62

Nuvoli, S., Palumbo, B., Fravolini, M., Piras, B., Dachena, G., Buresta, T., Cascianelli, S., Spanu, A., & Madeddu, G. (2015). The classification tree (CIT) classifier applied to 123I-MIBG cardiac scintigraphy in differentiating parkinson's disease (PD) from parkinsonisms (P). THE JOURNAL OF NUCLEAR MEDICINE. https://iris.unimore.it/handle/11380/1200025

Palumbo, B., Cascianelli, S., Sabalich, I., Santonicola, A., Buresta, T., Fravolini, M., Tambasco, N., Nuvoli, S., Spanu, A., & Madeddu, G. (2015). Cut-off values to diagnose Parkinson's disease by means of 123I-FP-CIT brain SPECT semiquantitave data as evaluated by Classification Tree algorithm. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. https://iris.unimore.it/handle/11380/1200027

Serra, G., Grana, C., Manfredi, M., & Cucchiara, R. (2015). GOLD: Gaussians of Local Descriptors for Image Representation. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2015.01.005

Baraldi, L., Grana, C., & Cucchiara, R. (2015). Scene segmentation using temporal clustering for accessing and re-using broadcast video. IEEE International Conference on Multimedia and Expo (ICME). https://doi.org/10.1109/ICME.2015.7177476

Tonti, S., Di Cataldo, S., Bottino, A. G., & Ficarra, E. (2015). An automated approach to the segmentation of HEp-2 cells for the indirect immunofluorescence ANA test. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. https://doi.org/10.1016/j.compmedimag.2014.12.005

Lombardi, M., Vezzani, R., & Cucchiara, R. (2015). Detection of Human Movements with Pressure Floor Sensors. International Conference on Image Analysis and Processing 2015. https://doi.org/10.1007/978-3-319-23234-8_57

Baraldi, L., Grana, C., & Cucchiara, R. (2015). Measuring scene detection performance. Iberian Conference on Pattern Recognition and Image Analysis Santiago de. https://doi.org/10.1007/978-3-319-19390-8_45

Crescenzo, R., Abate, F., Lasorsa, E., Tabbo', F., Gaudiano, M., Chiesa, N., Di Giacomo, F., Spaccarotella, E., Barbarossa, L., Ercole, E., Todaro, M., Boi, M., Acquaviva, A., Ficarra, E., Novero, D., Rinaldi, A., Tousseyn, T., Rosenwald, A., Kenner, L., ... Inghirami, G. (2015). Erratum to Convergent Mutations and Kinase Fusions Lead to Oncogenic STAT3 Activation in Anaplastic Large Cell Lymphoma [Cancer Cell 27, 516-532] April 13, 2015 10.1016/j.ccell.2015.04.014. CANCER CELL. https://doi.org/10.1016/j.ccell.2015.04.014

F., A., M., T., J. A., V. D. K., M., B., I., L., R., M., F., T., K., M., A., B., D., N., M., G., S., A., F., D. G., T., T., E., L., R., C., L., B., Ficarra, E., Acquaviva, A., ... The European T., C. L. S. G. (2015). A novel patient-derived tumorgraft model with TRAF1-ALK
anaplastic large-cell lymphoma translocation. LEUKEMIA. https://doi.org/10.1038/leu.2014.347

Tulyakov, S., Vieriu, R., Sangineto, E., & Sebe, N. (2015). FaceCept3D: Real Time 3D Face Tracking and Analysis. IEEE International Conference on Computer Vision Workshops (ICCVW). https://doi.org/10.1109/ICCVW.2015.13

Urgese, G., Paciello, G., Ficarra, E., Macii, E., & Acquaviva, A. (2015). On the relevance of a complete characterisation of miRNAs, isomiRs and miRNA-mRNA interaction sites through miRNA-specific alignment tools. RNAi 2015: Short & Long Non-coding RNAs, 10th International Conference & Exhibition Oxford (UK). https://iris.unimore.it/handle/11380/1240321

Ramona, C., Francesco, A., Elena, L., Fabrizio, T., Marcello, G., Nicoletta, C., Filomena Di, G., Elisa, S., Luigi, B., Elisabetta, E., Maria, T., Michela, B., Acquaviva, A., Ficarra, E., Domenico, N., Andrea, R., Thomas, T., Andreas, R., Lukas, K., ... Giorgio, I. (2015). Convergent Mutations and Kinase Fusions Lead to Oncogenic STAT3 Activation in Anaplastic Large Cell Lymphoma. CANCER CELL. https://doi.org/10.1016/j.ccell.2015.03.006

Puscas, M. M., Sangineto, E., Culibrk, D., & Sebe, N. (2015). Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories. IEEE International Conference on Computer Vision (ICCV). https://doi.org/10.1109/ICCV.2015.193

Varini, P., Serra, G., & Cucchiara, R. (2015). Egocentric Video Summarization of Cultural Tour based on User Preferences. ACM international conference on Multimedia Brisbane. https://doi.org/10.1145/2733373.2806367

Marghoob, A. A., Soyer, H. P., Curiel, C., Dasilva, D., High, W. A., Morrison, L. H., Zirato, J., Kittler, H., Argenziano, G., Braun, R. P., Haenssle, H., Menzies, S. W., Puig, S., Scope, A., Stolz, W., Thomas, L., Zalaudek, I., Malvehy, J., Abedini, M., ... Hoffman-Wellenhof, R. (2015). Standards in dermatologic imaging. JAMA DERMATOLOGY. https://doi.org/10.1001/jamadermatol.2015.32

Mighali, V., Del Fiore, G., Patrono, L., Mainetti, L., Alletto, S., Serra, G., & Cucchiara, R. (2015). Innovative IoT-aware Services for a Smart Museum. International Conference on World Wide Web (WWW). https://doi.org/10.1145/2740908.2744711

Cantini, L., Isella, C., Petti, C., Picco, G., Chiola, S., Ficarra, E., Caselle, M., & Medico, E. (2015). MicroRNA/mRNA interactions underlying colorectal cancer molecular subtypes. NATURE COMMUNICATIONS. https://doi.org/10.1038/ncomms9878

Padella, A., Simonetti, G., Paciello, G., Ferrari, A., Zago, E., Baldazzi, C., Guadagnuolo, V., Papayannidis, C., Robustelli, V., Imbrogno, E., Testoni, N., Musuraca, G., Soverini, S., Delledonne, M., Iacobucci, I., Storlazzi, C. T., Ficarra, E., & Martinelli, G. (2015). RNA Sequencing Reveals Novel and Rare Fusion Transcripts in Acute Myeloid Leukemia. BLOOD. https://iris.unimore.it/handle/11380/1240320

Solera, F., Calderara, S., & Cucchiara, R. (2015). Learning to Divide and Conquer for Online Multi-Target Tracking. IEEE International Conference on Computer Vision Santiago (Chile). https://doi.org/10.1109/ICCV.2015.497

Varini, P., Serra, G., & Cucchiara, R. (2015). Personalized Egocentric Video Summarization for Cultural Experience. ACM International Conference on Multimedia Retrieval (ICMR). https://doi.org/10.1145/2671188.2749343

Solera, F., Calderara, S., & Cucchiara, R. (2015). Towards the evaluation of reproducible robustness in tracking-by-detection. IEEE International Conference on Advanced Video and Signal-Based Surveillance Karlsrhue (Germany). https://doi.org/10.1109/AVSS.2015.7301755

Baltieri, D., Vezzani, R., & Cucchiara, R. (2015). Mapping Appearance Descriptors on 3D Body Models for People Re-identification. INTERNATIONAL JOURNAL OF COMPUTER VISION. https://doi.org/10.1007/s11263-014-0747-z

Coppi, D., Calderara, S., & Cucchiara, R. (2015). Active query process for digital video surveillance forensic applications. SIGNAL, IMAGE AND VIDEO PROCESSING. https://doi.org/10.1007/s11760-013-0504-8

Alletto, S., Serra, G., & Cucchiara, R. (2015). Wearable Vision for Retrieving Architectural Details in Augmented Tourist Experiences. International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN). https://doi.org/10.4108/icst.intetain.2015.260034

Paciello, G., Acquaviva, A., Chiara, P., Alberto, F., Macii, E., Alberto, Z., & Ficarra, E. (2015). VDJSeq-Solver: In Silico V(D)J Recombination Detection tool. PLOS ONE. https://doi.org/10.1371/journal.pone.0118192

Nuvoli, S., Palumbo, B., Fravolini, M., Piras, B., Dachena, G., Cascianelli, S., Spanu, A., & Madeddu, G. (2015). 123-I-MIBG cardiac scintigraphy quantitative analysis in Parkinson's disease (PD) and Parkinsonism (P) differential diagnosis: a classification tree (CIT) classifier additional contribute. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING. https://iris.unimore.it/handle/11380/1200026

Tonti, S., Di Cataldo, S., Macii, E., & Ficarra, E. (2015). Unsupervised HEp-2 mitosis recognition in Indirect Immunofluorescence Imaging. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/EMBC.2015.7320282

J., U., Duta, I. C., Sangineto, E., & Sebe, N. (2015). Video Classification with Densely Extracted HOG/HOF/MBH Features: An Evaluation of the Accuracy/Computational Efficiency Trade-off. INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL. https://doi.org/10.1007/s13735-014-0069-5

Cuculo, V., Lanzarotti, R., & Boccignone, G. (2015). The Color of Smiling : Computational Synaesthesia of Facial Expressions. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-319-23231-7_19

Alletto, S., Serra, G., Calderara, S., & Cucchiara, R. (2014). Head Pose Estimation in First-Person Camera Views. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2014.718

Borghesani, D., Grana, C., & Cucchiara, R. (2014). Miniature illustrations retrieval and innovative interaction for digital illuminated manuscripts. MULTIMEDIA SYSTEMS. https://doi.org/10.1007/s00530-013-0315-3

Zen, G., Sangineto, E., E., R., & Sebe, N. (2014). Unsupervised Domain Adaptation for Personalized Facial Emotion Recognition. ACM International Conference on Multimodal Interaction (ICMI). https://doi.org/10.1145/2663204.2663247

Serra, G., Grana, C., Manfredi, M., & Cucchiara, R. (2014). Covariance of Covariance Features for Image Classification. 4th ACM International Conference on Multimedia Retrieval (ICMR). https://doi.org/10.1145/2578726.2578781

Natale, M., Benso, A., Di Carlo, S., & Ficarra, E. (2014). FunMod: A Cytoscape Plugin for Identifying Functional Modules in Undirected Protein–Protein Networks. GENOMICS, PROTEOMICS & BIOINFORMATICS. https://doi.org/10.1016/j.gpb.2014.05.002

UL-ISLAM, I., Di Cataldo, S., Bottino, A. G., Macii, E., & Ficarra, E. (2014). A Preliminary Analysis on HEp-2 Pattern Classification: Evaluating Strategies Based on Support Vector Machines and Subclass Discriminant Analysis. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. https://doi.org/10.1007/978-3-662-44485-6_13

Baraldi, L., Paci, F., Serra, G., Benini, L., & Cucchiara, R. (2014). Gesture Recognition in Ego-Centric Videos using Dense Trajectories and Hand Segmentation. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2014.107

Urgese, G., Paciello, G., Acquaviva, A., Ficarra, E., Graziano, M., & Zamboni, M. (2014). Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimisation. International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO). https://iris.unimore.it/handle/11380/1240308

Park, H. S., Salah, A. A., Lee, Y. J., Morency, L., Sheikh, Y., & Cucchiara, R. (2014). Human Behavior Understanding: 5th International Workshop, HBU 2014 Zurich, Switzerland, September 12, 2014 Proceedings. International Workshop on Human Behavior Understanding (HBU). https://iris.unimore.it/handle/11380/1247303

Sangineto, E., Zen, G., Ricci, E., & Sebe, N. (2014). We are not All Equal: Personalizing Models for Facial Expression Analysis with Transductive Parameter Transfer. ACM Conference on Multimedia (MM). https://doi.org/10.1145/2647868.2654916

Bandini, S., Calderara, S., & Cucchiara, R. (2014). Pattern recognition and crowd analysis. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2014.02.004

Antonella, P., Giorgia, S., Viviana, G., Emanuela, O., Anna, F., Elisa, Z., Francesca, G., Marianna, G., Paciello, G., Simona, B., Carmen, B., Cristina, P., Maria Chiara, A., Francesca, V., Raffaele, C., Nicoletta, T., Ficarra, E., Alberto, F., Massimo, D., ... Giovanni, M. (2014). Next-Generation Sequencing Analysis Revealed That BCL11B Chromosomal Translocation Cooperates with Point Mutations in the Pathogenesis of Acute Myeloid Leukemia. BLOOD. https://iris.unimore.it/handle/11380/1240304

Manfredi, M., Grana, C., & Cucchiara, R. (2014). Learning Graph Cut Energy Functions for Image Segmentation. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2014.175

Paula H., R. H., & Ficarra, E. (2014). Computational Methods for CLIP-seq Data Processing. BIOINFORMATICS AND BIOLOGY INSIGHTS. https://doi.org/10.4137/BBI.S16803

Natale, M., Benso, A., Di Carlo, S., & Ficarra, E. (2014). Indentifying sub-network functional modules in protein undirected networks. BIOINFORMATICS 2014. https://iris.unimore.it/handle/11380/1240394

Manfredi, M., Grana, C., Calderara, S., & Cucchiara, R. (2014). A complete system for garment segmentation and color classification. MACHINE VISION AND APPLICATIONS. https://doi.org/10.1007/s00138-013-0580-3

Fravolini, M. L., Rhudy, M., Gururajan, S., Cascianelli, S., & Napolitano, M. (2014). Experimental Evaluation of Two Pitot Free Analytical Redundancy Techniques for the Estimation of the Airspeed of an UAV. SAE INTERNATIONAL JOURNAL OF AEROSPACE. https://doi.org/10.4271/2014-01-2163

Manfredi, M., Grana, C., & Cucchiara, R. (2014). Learning Superpixel Relations for Supervised Image Segmentation. International Conference on Image Processing. https://doi.org/10.1109/ICIP.2014.7025900

Natale, M., Benso, A., Di Carlo, S., & Ficarra, E. (2014). Identifying sub-network functional modules in protein undirected networks. International Conference on Bioinformatics Models, Methods and Algorithms. https://iris.unimore.it/handle/11380/1240318

Sangineto, E. (2014). Statistical and Spatial Consensus Collection for Detector Adaptation. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-319-10578-9_30

Camurri, M., Vezzani, R., & Cucchiara, R. (2014). 3D Hough transform for sphere recognition on point clouds. MACHINE VISION AND APPLICATIONS. https://doi.org/10.1007/s00138-014-0640-3

Pistocchi, S., Calderara, S., Barnard, S., Ferri, N., & Cucchiara, R. (2014). Kernelized Structural Classification for 3D Dogs Body Parts Detection. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2014.348

Cucchiara, R., & Del Bimbo, A. (2014). Visions for augmented cultural heritage experience. IEEE MULTIMEDIA. https://doi.org/10.1109/MMUL.2014.19

A. W. M., S., D. M., C., Cucchiara, R., Calderara, S., A., D., & M., S. (2014). Visual Tracking: An Experimental Survey. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2013.230

Park, H. S., Salah, A. A., Lee, Y. J., Morency, L., Sheikh, Y., & Cucchiara, R. (2014). Preface. International Workshop on Human Behavior Understanding (HBU). https://iris.unimore.it/handle/11380/1248518

Di Cataldo, S., Bottino, A. G., UL-ISLAM, I., Figueiredo Vieira, T., & Ficarra, E. (2014). Subclass Discriminant Analysis of Morphological and Textural Features for HEp-2 Staining Pattern Classification. PATTERN RECOGNITION. https://doi.org/10.1016/j.patcog.2013.09.024

Manfredi, M., Vezzani, R., Calderara, S., & Cucchiara, R. (2014). Detection of static groups and crowds gathered in open spaces by texture classification. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2013.11.001

Vezzani, R., & Cucchiara, R. (2014). Benchmarking for Person Re-identification. ADVANCES IN COMPUTER VISION AND PATTERN RECOGNITION. https://doi.org/10.1007/978-1-4471-6296-4_16

Coppi, D., De Campos, T., Yan, F., Kittler, J., & Cucchiara, R. (2014). On detection of novel categories and subcategories of images using incongruence. 4th ACM International Conference on Multimedia Retrieval (ICMR). https://doi.org/10.1145/2578726.2578769

Cuculo, V., Lanzarotti, R., & Boccignone, G. (2014). Using sparse coding for landmark localization in facial expressions. European Workshop on Visual Information Processing (EUVIP). https://doi.org/10.1109/EUVIP.2014.7018369

Micheloni, C., Velipasalar, S., & Vezzani, R. (2014). Welcome message from the technical program committee chairs. ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://iris.unimore.it/handle/11380/1286863

Abate, F., Sakellarios, Z., Ficarra, E., Acquaviva, A., Chris H., W., Veronique, F., Anna, L., Antonio, I., Giorgio, I., & Raul, R. (2014). Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer. BMC SYSTEMS BIOLOGY. https://doi.org/10.1186/s12918-014-0097-z

Fornaciari, M., Prati, A., & Cucchiara, R. (2014). A fast and effective ellipse detector for embedded vision applications. PATTERN RECOGNITION. https://doi.org/10.1016/j.patcog.2014.05.012

A., R., Serra, G., & Grana, C. (2014). Truncated Isotropic Principal Component Classifier for Image Classification. International Conference on Image Processing. https://iris.unimore.it/handle/11380/1060477

Coppi, D., Grana, C., & Cucchiara, R. (2014). Illustrations Segmentation in Digitized Documents Using Local Correlation Features. Italian Research Conference on Digital Libraries Padova. https://doi.org/10.1016/j.procs.2014.10.014

Paciello, G., Acquaviva, A., Consalvo, P., Claudio, I., Enzo, M., & Ficarra, E. (2014). A Novel Pipeline for Identification and Prioritization of Gene Fusions in Patient-derived Xenografts of Metastatic Colorectal Cancer. International Conference on Bioinformatics Models, Methods and Algorithms. https://doi.org/10.5220/0004799401420148

Lombardi, M., Pieracci, A., Santinelli, P., Vezzani, R., & Cucchiara, R. (2013). Sensing floors for privacy-compliant surveillance of wide areas. 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2013.6636624

Grana, C., Serra, G., Manfredi, M., & Cucchiara, R. (2013). Image Classification with Multivariate Gaussian Descriptors. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-642-41184-7_12

Grana, C., Borghesani, D., Manfredi, M., & Cucchiara, R. (2013). A Fast Approach for Integrating ORB Descriptors in the Bag of Words Model. Multimedia Content and Mobile Devices. https://doi.org/10.1117/12.2008460

Piccinini, P., Gamberini, R., Prati, A., Rimini, B., & Cucchiara, R. (2013). AN AUTOMATED PICKING WORKSTATION FOR HEALTHCARE APPLICATIONS. COMPUTERS & INDUSTRIAL ENGINEERING. https://doi.org/10.1016/j.cie.2012.11.004

Manfredi, M., Grana, C., & Cucchiara, R. (2013). Automatic Single-Image People Segmentation and Removal for Cultural Heritage Imaging. International Workshop on Multimedia for Cultural Heritage Napoli. https://doi.org/10.1007/978-3-642-41190-8_21

Fornaciari, M., Cucchiara, R., & Prati, A. (2013). A mobile vision system for fast and accurate ellipse detection. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2013.14

Paciello, G., Ficarra, E., Alberto, Z., Chiara, P., Carmelo, F., Abate, F., Macii, E., & Acquaviva, A. (2013). A novel pipeline for V(D)J junction identification using RNA-Seq paired-end reads. International Conference on Bioinformatics Models, Methods and Algorithms. https://iris.unimore.it/handle/11380/1240380

Grana, C., Serra, G., Manfredi, M., Cucchiara, R., Martoglia, R., & Mandreoli, F. (2013). UNIMORE at ImageCLEF 2013: Scalable Concept Image Annotation. Cross Language Evaluation Forum Conference (CLEF). https://iris.unimore.it/handle/11380/968701

Vezzani, R., & Cucchiara, R. (2013). Video surveillance online repository (ViSOR). ACM Multimedia Systems Conference (MMSys). https://doi.org/10.1145/2483977.2483987

Sangineto, E. (2013). Pose and Expression Independent Facial Landmark Localization Using Dense-SURF and the Hausdorff Distance. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2012.87

Grana, C., Serra, G., Manfredi, M., & Cucchiara, R. (2013). Beyond Bag of Words for Concept Detection and Search of Cultural Heritage Archives. International Conference on Similarity Search and Applications (SISAP). https://doi.org/10.1007/978-3-642-41062-8_24

Abate, F., Acquaviva, A., Ficarra, E., & Macii, E. (2013). Integration of Literature with Heterogeneous Information for Genes Correlation Scoring. ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS. https://doi.org/10.1145/2504728

UL-ISLAM, I., Di Cataldo, S., Bottino, A. G., Ficarra, E., & Macii, E. (2013). Classification of HEp-2 staining patterns in ImmunoFluorescence images. Comparison of Support Vector Machines and Subclass Discriminant Analysis strategies. International Conference on Bioinformatics Models, Methods and Algorithms. https://iris.unimore.it/handle/11380/1240384

Lombardi, M., Pieracci, A., Santinelli, P., Vezzani, R., & Cucchiara, R. (2013). Human Behavior Understanding with Wide Area Sensing Floors. International Workshop on Human Behavior Understanding (HBU). https://doi.org/10.1007/978-3-319-02714-2_10

Pane, C., Gasparini, M., Prati, A., Gualdi, G., & Cucchiara, R. (2013). A people counting system for business analytics. 10th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2013.6636629

Baltieri, D., Vezzani, R., & Cucchiara, R. (2013). Learning articulated body models for people re-identification. ACM International Conference on Multimedia (MM). https://doi.org/10.1145/2502081.2502147

Abate, F., Acquaviva, A., Ficarra, E., Piva, R., & Macii, E. (2013). Gelsius: A Literature-Based Workflow for Determining Quantitative Associations between Genes and Biological Processes. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. https://doi.org/10.1109/TCBB.2013.11

Serra, G., Camurri, M., Baraldi, L., Michela, B., & Cucchiara, R. (2013). Hand Segmentation for Gesture Recognition in EGO-Vision. ACM International Workshop on Interactive Multimedia on Mobile and Portable Devices Barcelona, Spain 21. https://doi.org/10.1145/2505483.2505490

Solera, F., & Calderara, S. (2013). Social groups detection in crowd through shape-augmented structured learning. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-642-41181-6_55

Rashid, A., Prati, A., & Cucchiara, R. (2013). On the design of embedded solutions to banknote recognition. OPTICAL ENGINEERING. https://doi.org/10.1117/1.OE.52.9.093106

Solera, F., & Calderara, S. (2013). Social Groups Detection in Crowd through Shape-Augmented Structured LearningImage Analysis and Processing – ICIAP 2013. Image Analysis and Processing – ICIAP 2013 Napoli. https://iris.unimore.it/handle/11380/992336

Shkurti, A., Mario, O., Macii, E., Ficarra, E., & Acquaviva, A. (2013). Acceleration of Coarse Grain Molecular Dynamics on GPU Architectures. JOURNAL OF COMPUTATIONAL CHEMISTRY. https://doi.org/10.1002/jcc.23183

Fornaciari, M., Prati, A., Grana, C., & Cucchiara, R. (2013). Lightweight Sign Recognition for Mobile Devices. Seventh ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://iris.unimore.it/handle/11380/1021513

Serra, G., Grana, C., Manfredi, M., & Cucchiara, R. (2013). Modeling Local Descriptors with Multivariate Gaussians for Object and Scene Recognition. International Conference on Multimedia (ACM Multimedia 2013) Barcelona, esp. https://doi.org/10.1145/2502081.2502185

Vezzani, R., Baltieri, D., & Cucchiara, R. (2013). People reidentification in surveillance and forensics: a Survey. ACM COMPUTING SURVEYS. https://doi.org/10.1145/2543581.2543596

Shkurti, A., Mario, O., Acquaviva, A., Ficarra, E., Macii, E., Sophia, W., & Jonathan W., E. (2013). Optimization of Molecular Dynamics Simulations from a High Performance Computing Viewpoint. Annual CCP Bio-Sim Conference: Frontiers of Biomolecular Simulations Nottingham. https://iris.unimore.it/handle/11380/1240296

Prati, A., Vezzani, R., Fornaciari, M., & Cucchiara, R. (2013). Intelligent video surveillance as a service. https://doi.org/10.1007/978-3-642-41512-8_1

Solera, F., Calderara, S., & Cucchiara, R. (2013). Structured learning for detection of social groups in crowd. IEEE International Conference on Advanced Video and Signal-Based Surveillance: AVSS 2013 Krakov (PL). https://doi.org/10.1109/AVSS.2013.6636608

Iocchi, L., Prati, A., & Vezzani, R. (2013). Editorial to the 'pattern recognition and artificial intelligence for human behaviour analysis' special section. EXPERT SYSTEMS. https://doi.org/10.1111/exsy.12010

Di Cataldo, S., Bottino, A. G., Ficarra, E., & Macii, E. (2012). Applying Textural Features to the Classification of HEp-2 Cell Patterns in IIF images. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/1240371

Shkurti, A., Acquaviva, A., Ficarra, E., Orsi, M., Macii, E., & Essex, J. W. (2012). Towards Low Cost Virtual Biological Laboratories: Molecular Modelling  Simulation on Commodity Hardware. Young Modellers Forum Londra Novembre. https://iris.unimore.it/handle/11380/1240297

Natale, M., Caiazzo, A., Bucci, E. M., & Ficarra, E. (2012). A novel Gaussian fitting approach for 2D gel electrophoresis saturated protein spots. International Conference on Bioinformatics Models, Methods and Algorithms. https://doi.org/10.5220/0003789803350338

Terzo, O., Mossucca, L., Acquaviva, A., Abate, F., Ficarra, E., & Provenzano, R. (2012). Optimizing Splicing Junction Detection in Next Generation Sequencing Data on a Virtual-GRID Infrastructure. The 6th International Conference on Bioinformatics and Biomedical Engineering Shanghai. https://iris.unimore.it/handle/11380/1240340

Abate, F., Paciello, G., Acquaviva, A., Ficarra, E., Ferrarini, A., Delledonne, M., & Macii, E. (2012). A novel analysis flow for fused transcripts discovery from paired-end RNA-SEQ data. International Conference on Bioinformatics Models, Methods and Algorithms. https://doi.org/10.5220/0003789003310334

Grana, C., Borghesani, D., & Cucchiara, R. (2012). Class-based color bag of words for fashion retrieval. 13th IEEE International Conference on Multimedia and Expo (ICME). https://doi.org/10.1109/ICME.2012.13

Calderara, S., Prati, A., & Cucchiara, R. (2012). Integrate tool for online analysis and offline mining of people trajectories. IET COMPUTER VISION. https://doi.org/10.1049/iet-cvi.2010.0143

Cucchiara, R., & Grana, C. (2012). Special Issue: Recent Achievements in Multimedia for Cultural Heritage - Guest Editorial. JOURNAL OF MULTIMEDIA. https://doi.org/10.4304/jmm.7.2.107-108

Shkurti, A., Acquaviva, A., Ficarra, E., Orsi, M., & Macii, E. (2012). CHARACTERIZATION OF COARSE GRAIN MOLECULAR DYNAMIC SIMULATION PERFORMANCE ON GRAPHIC PROCESSING UNIT ARCHITECTURES. International Conference on Bioinformatics Models, Methods and Algorithms. https://doi.org/10.5220/0003790703390342

Grana, C., Borghesani, D., Santinelli, P., & Cucchiara, R. (2012). Veiling Luminance estimation on FPGA-based embedded smart camera. IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/IVS.2012.6232154

Paula H., R. H., & Ficarra, E. (2012). One Decade of Development and Evolution of MicroRNA Target Prediction Algorithms. GENOMICS, PROTEOMICS & BIOINFORMATICS. https://doi.org/10.1016/j.gpb.2012.10.001

Valentini, S., Natale, M., Ficarra, E., & Barmaz, A. (2012). New Software for the Identification and Characterization
of Peptides Generated during Fontina Cheese Ripening
Using Mass Spectrometry Data. JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING. https://iris.unimore.it/handle/11380/1240377

Grana, C., Borghesani, D., & Cucchiara, R. (2012). A human vs. machine challenge in fashion color classification. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-642-33885-4_69

Di Cataldo, S., Ficarra, E., & Macii, E. (2012). Computer-aided techniques for Chromogenic Immunohistochemistry: Status and Directions. COMPUTERS IN BIOLOGY AND MEDICINE. https://doi.org/10.1016/j.compbiomed.2012.08.004

Deriu, M. A., Shkurti, A., Paciello, G., Bidone, T. C., Morbiducci, U., Ficarra, E., Audenino, A., & Acquaviva, A. (2012). Multiscale Modelling of Cellular Actin Filaments: From Atomistic Molecular to Coarse Grained Dynamics. PROTEINS. https://doi.org/10.1002/prot.24053

Baltieri, D., Vezzani, R., & Cucchiara, R. (2012). People Orientation Recognition by Mixtures of Wrapped Distributions on Random Trees. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-642-33715-4_20

Grana, C., Montangero, M., & Borghesani, D. (2012). Optimal Decision Trees for Local Image Processing Algorithms. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2012.08.015

Borghesani, D., Grana, C., & Cucchiara, R. (2012). Towards Artistic Collections Navigation Tools based on Relevance Feedback. International Workshop on Multimedia for Cultural Heritage (MM4CH). https://doi.org/10.1007/978-3-642-27978-2_13

Fusiello, A., Murino, V., & Cucchiara, R. (2012). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. European Conference on Computer Vision (ECCV). https://iris.unimore.it/handle/11380/1248517

Sangineto, E., Cristani, M., Del Bue, A., & Murino, V. (2012). Learning Discriminative Spatial Relations for Detector Dictionaries: An Application to Pedestrian Detection. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-642-33709-3_20

Natale, M., Caiazzo, A., Bucci, E. M., & Ficarra, E. (2012). A Novel Gaussian Extrapolation Approach for 2D Gel Electrophoresis Saturated Protein Spots. GENOMICS, PROTEOMICS & BIOINFORMATICS. https://doi.org/10.1016/j.gpb.2012.06.005

Abate, F., Acquaviva, A., Paciello, G., Foti, C., Ficarra, E., Ferrarini, A., Delle Donne, M., Iacobucci, I., Soverini, S., Martinelli, G., & Macii, E. (2012). Bellerophontes: a RNA-seq data analysis framework tor chimeric transcripts discovery base on accurate fusion model. BIOINFORMATICS. https://doi.org/10.1093/bioinformatics/bts334

Borghesani, D., Grana, C., & Cucchiara, R. (2012). 2D Images Map Warping for Improved User Interaction. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/766089

Calderara, S., & Cucchiara, R. (2012). Understanding dyadic interactions applying proxemic theory on videosurveillance trajectories. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2012.6239351

Cucchiara, R., Grana, C., Borghesani, D., M., A., & A. D., B. (2012). Multimedia for Cultural Heritage: Key Issues. International Workshop on Multimedia for Cultural Heritage (MM4CH). https://doi.org/10.1007/978-3-642-27978-2_18

Sangineto, E., & Cupelli, M. (2012). Real-time viewpoint-invariant hand localization with cluttered backgrounds. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2011.11.004

Terzo, O., Mossucca, L., Acquaviva, A., Abate, F., Ficarra, E., & Provenzano, R. (2012). Reverse Engineering of TopHat: Splice Junction Mapper for Improving Computational Aspect. International Conference on Intelligent Systems Modelling and Simulation (ISMS). https://doi.org/10.1109/ISMS.2012.76

Piccinini, P., Prati, A., & Cucchiara, R. (2012). Real-time object detection and localization with SIFT-based clustering. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2012.06.004

F., T., A., B., R., P., G., I., R., B., D., C., D., C., R., C., G., C., F., D. G., A., F., M., L., I., L., K., M., R., M., B., M., E., M., M., M., E., P., ... I., K. (2012). ALK signaling and target therapy in anaplastic large cell lymphoma. FRONTIERS IN ONCOLOGY. https://doi.org/10.3389/fonc.2012.00041

G., G., A., P., & Cucchiara, R. (2012). Multistage Particle Windows for Fast and Accurate Object Detection. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2011.247

Fusiello, A., Murino, V., & Cucchiara, R. (2012). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-642-33863-2

Borghesani, D., Grana, C., & Cucchiara, R. (2012). Relevance Feedback as an Interactive Navigation Tool. International Conference on Computer Vision Theory and Applications. https://iris.unimore.it/handle/11380/764089

Grana, C., & Cucchiara, R. (2012). Preface. International Workshop on Multimedia for Cultural Heritage (MM4CH). https://iris.unimore.it/handle/11380/1249076

Cucchiara, R., Prati, A., & Vezzani, R. (2012). Intelligent Video Surveillance. https://iris.unimore.it/handle/11380/646182

Grana, C., Calderara, S., Borghesani, D., & Cucchiara, R. (2012). Learning Non-Target Items for Interesting Clothes Segmentation in Fashion Images. International Conference on Pattern Recognition (ICPR). https://iris.unimore.it/handle/11380/766090

Gualdi, G., Prati, A., & Cucchiara, R. (2011). Using Monolithic Classifiers On Multi-stage Pedestrian Detection. IEEE International Conference on Advanced Video and Signal-Based Surveillance. https://iris.unimore.it/handle/11380/665250

Coppi, D., Calderara, S., & Cucchiara, R. (2011). Appearance tracking by transduction in surveillance scenarios. 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2011.6027309

Coppi, D., Calderara, S., & Cucchiara, R. (2011). People appearance tracing in video by spectral graph transduction. IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 Barcelona, esp. https://doi.org/10.1109/ICCVW.2011.6130350

Grana, C., Borghesani, D., & Cucchiara, R. (2011). Automatic segmentation of digitalized historical manuscripts. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-010-0561-8

Pantic, M., Pentland, A., Vinciarelli, A., Cucchiara, R., Daoudi, M., & Del Bimbo, A. (2011). Joint ACM workshop on human gesture and behavior understanding (J-HGBU'11). ACM International Conference on Multimedia ACM Multimedia 2011,MM'11. https://doi.org/10.1145/2072298.2072392

Terzo, O., Mossucca, L., Ruiu, P., Abate, F., Acquaviva, A., Ficarra, E., & Macii, E. (2011). An effective grid infrastructure for efficiently support high throughput sequencing analysis. International Conference on Engineering and Meta-Engineering (ICEME). https://iris.unimore.it/handle/11380/1240375

Casares, M., Santinelli, P., Velipasalar, S., Prati, A., & Cucchiara, R. (2011). Energy-efficient foreground object detection on embedded smart cameras by hardware-level operations. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2011.5981838

Paciello, G., Acquaviva, A., Ficarra, E., Deriu, M. A., & Macii, E. (2011). A Molecular Dynamics study of a miRNA:mRNA interaction. JOURNAL OF MOLECULAR MODELING. https://doi.org/10.1007/s00894-011-0991-x

Fornaciari, M., Sottara, D., Prati, A., Mello, P., & Cucchiara, R. (2011). An evidential fusion architecture for people surveillance in wide open areas. International Conference on Hybrid Artificial Intelligent Systems (HAIS). https://doi.org/10.1007/978-3-642-21219-2_31

M., C., Santinelli, P., S., V., Prati, A., & Cucchiara, R. (2011). Energy-efficient Feedback Tracking on Embedded Smart Cameras by Hardware-level Optimization. 5th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://doi.org/10.1109/ICDSC.2011.6042915

Cattini, S., Grana, C., Cucchiara, R., & Rovati, L. (2011). A low-cost system and calibration method for veiling luminance measurement. IEEE International Instrumentation and Measurement Technology Conference (I2MTC). https://doi.org/10.1109/IMTC.2011.5944133

Abate, F., Ficarra, E., Acquaviva, A., & Macii, E. (2011). Improving Latent Semantic Analysis of Biomedical Literature Integrating UMLS Metathesaurus and Biomedical Pathways Databases. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC). https://doi.org/10.1007/978-3-642-29752-6

Abate, F., Acquaviva, A., Ficarra, E., Paciello, G., Macii, E., A., F., M., D., S., S., & G., M. (2011). A novel framework for chimeric transcript detection based on accurate gene fusion model. IEEE International Conference onBioinformatics and Biomedicine Workshops (BIBMW). https://doi.org/10.1109/BIBMW.2011.6112352

Baltieri, D., Vezzani, R., Cucchiara, R., A., U., C., B., & T., S. (2011). Multi-view people surveillance using 3D information. IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 Barcelona, esp. https://doi.org/10.1109/ICCVW.2011.6130469

Vezzani, R., Grana, C., & Cucchiara, R. (2011). Probabilistic people tracking with appearance models and occlusion classification: The AD-HOC system. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2010.11.003

Rashid, A., Prati, A., & Cucchiara, R. (2011). A Real-Time Embedded Solution for Skew Correction in Banknote Analysis. Seventh IEEE Workshop on Embedded Computer Vision Colorado Springs, CO (USA) 20. https://doi.org/10.1109/CVPRW.2011.5981806

Reyes Herrera, P. H., Ficarra, E., Acquaviva, A., & Macii, E. (2011). miREE: miRNA Recognition Elements Ensemble. BMC BIOINFORMATICS. https://doi.org/10.1186/1471-2105-12-454

Calderara, S., Uri, H., Prati, A., Cucchiara, R., & Naftali, T. (2011). Detecting Anomalies in People’s Trajectories using Spectral Graph Analysis. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2011.03.003

Baltieri, D., Vezzani, R., & Cucchiara, R. (2011). 3DPes: 3D People Dataset for Surveillance and Forensics. ACM Multimedia Conference,MM'11 and Co-Located Workshops - 2011 Joint ACM Workshop on Human Gesture and Behavior. https://doi.org/10.1145/2072572.2072590

Cucchiara, R., Daoudi, M., & Del Bimbo, A. (2011). MA3HO'11 foreword. ACM Multimedia Conference,MM'11 and Co-Located Workshops - 2011 Joint ACM Workshop on Human Gesture and Behavior. https://iris.unimore.it/handle/11380/1247276

Calderara, S., Prati, A., & Cucchiara, R. (2011). Mixtures of von Mises Distributions for People Trajectory Shape Analysis. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. https://doi.org/10.1109/TCSVT.2011.2125550

Calderara, S., Prati, A., & Cucchiara, R. (2011). Markerless Body Part Tracking for Action Recognition. INTERNATIONAL JOURNAL OF MULTIMEDIA INTELLIGENCE AND SECURITY. https://iris.unimore.it/handle/11380/639803

Grana, C., Borghesani, D., & Cucchiara, R. (2011). Relevance feedback strategies for artistic image collections tagging. ACM International Conference on Multimedia Retrieval,ICMR'11. https://doi.org/10.1145/1991996.1992041

Paciello, G., Acquaviva, A., Ficarra, E., Deriu, M. A., Grosso, A., & Macii, E. (2011). Binding free energy calculation via molecular dynamics simulations for a miRNA:mRNA interaction. International Conference on Bioinformatics Models, Methods and Algorithms. https://iris.unimore.it/handle/11380/1281681

Decker, H., Grana, C., & Perez, J. (2011). Workshop IMPRESS 2011: Preface. 22nd International Workshop on Database and Expert Systems Applications (DEXA). https://doi.org/10.1109/DEXA.2011.114

Coppi, D., Calderara, S., & Cucchiara, R. (2011). Iterative active querying for surveillance data retrieval in crime detection and forensics. International Conference on Imaging for Crime Detection and Prevention (ICDP). https://iris.unimore.it/handle/11380/708922

Di Cataldo, S., Ficarra, E., Acquaviva, A., & Macii, E. (2011). Motion artifact correction in ASL images: an improved automated procedure. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://doi.org/10.1109/BIBM.2011.106

Calderara, S., Piccinini, P., & Cucchiara, R. (2011). Vision based smoke detection system using image energy and color information. MACHINE VISION AND APPLICATIONS. https://doi.org/10.1007/s00138-010-0272-1

Cucchiara, R., Fornaciari, M., Haider, R., Mandreoli, F., Martoglia, R., Prati, A., & Sassatelli, S. (2011). A Reasoning Engine for Intruders' Localization in Wide Open Areas using a Network of Cameras and RFIDs. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2011.5981728

Gualdi, G., Prati, A., & Cucchiara, R. (2011). A multi-stage pedestrian detection using monolithic classifiers. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2011.6027335

M., C., Santinelli, P., S., V., Prati, A., & Cucchiara, R. (2011). Energy-efficient Object Detection and Tracking on Embedded Smart Cameras by Hardware-level Operations at the Image Sensor. Seventh IEEE Workshop on Embedded Computer Vision Colorado Springs, CO (USA) 20. https://iris.unimore.it/handle/11380/665248

Gualdi, G., Prati, A., & Cucchiara, R. (2011). Contextual Information and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING. https://doi.org/10.1155/2011/684819

Grana, C., Montangero, M., Borghesani, D., & Cucchiara, R. (2011). Optimal Decision Trees Generation from OR-Decision Tables. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-642-24085-0_46

Mazzillo, M., Fallica, P. G., Ficarra, E., Messina, A., Romeo, M., & Zafalon, R. (2011). Solid state photodetectors for nuclear medical imaging applications. Design, Automation and Test in Europe Conference and Exhibition (DATE). https://iris.unimore.it/handle/11380/1240344

Borghesani, D., Coppi, D., Grana, C., Calderara, S., & Cucchiara, R. (2011). Feature Space Warping Relevance Feedback with Transductive Learning. International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS). https://doi.org/10.1007/978-3-642-23687-7_7

Ficarra, E., Di Cataldo, S., Acquaviva, A., & Macii, E. (2011). Automated Segmentation of Cells with IHC Membrane Staining. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. https://doi.org/10.1109/TBME.2011.2106499

Baltieri, D., Vezzani, R., & Cucchiara, R. (2011). SARC3D: a new 3D body model for People Tracking and Re-identification. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/978-3-642-24085-0_21

Abate, F., Acquaviva, A., Ficarra, E., & Macii, E. (2011). A new latent semantic analysis based methodology for knowledge extraction from biomedical literature and biological pathways databases. International Conference on Bioinformatics Models, Methods and Algorithms. https://iris.unimore.it/handle/11380/1281679

Cucchiara, R., Fornaciari, M., Haider, R., Mandreoli, F., & Prati, A. (2011). Identification of Intruders in Groups of People using Cameras and RFIDs. 5th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://doi.org/10.1109/ICDSC.2011.6042909

Calderara, S., Prati, A., & Cucchiara, R. (2010). Moving pixels in static cameras: detecting dangerous situations due to environment or people. STUDIES IN COMPUTATIONAL INTELLIGENCE. https://doi.org/10.1007/978-3-642-11756-5_1

Calderara, S., & Cucchiara, R. (2010). People trajectory mining with statistical pattern recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2010.5543158

Cinque, L., Iovane, G., Manzo, M., & Sangineto, E. (2010). Face recognition using SIFT features and a region-based ranking. JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY. https://doi.org/10.1080/09720529.2010.10698283

Grana, C., Borghesani, D., & Cucchiara, R. (2010). Improving classification and retrieval of illuminated manuscripts with semantic information. Italian Research Conference on Digital Libraries (IRCDL). https://doi.org/10.1007/978-3-642-15850-6_18

Vezzani, R., Baltieri, D., & Cucchiara, R. (2010). HMM Based Action Recognition with Projection Histogram Features. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1007/978-3-642-17711-8_29

Calderara, S., Prati, A., & Cucchiara, R. (2010). Alignment-based Similarity of People Trajectories using Semi-directional Statistics. 20th International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2010.1039

Cucchiara, R., Fornaciari, M., Prati, A., & Santinelli, P. (2010). Mutual Calibration of Camera Motes and RFIDs for People Localization and Identification. ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://doi.org/10.1145/1865987.1865998

Grana, C., Borghesani, D., Gualdi, G., & Cucchiara, R. (2010). Bag-Of-Words Classification of Miniature Illustrations. International Workshop on Image Analysis for Multimedia Interactive Services,WIAMIS 10 Desenzano del. https://iris.unimore.it/handle/11380/640468

Cucchiara, R., & Gualdi, G. (2010). Mobile video surveillance systems: An architectural overview. LECTURE NOTES IN COMPUTER SCIENCE. https://doi.org/10.1007/978-3-642-12349-8_6

Di Cataldo, S., Ficarra, E., Acquaviva, A., & Macii, E. (2010). Automated segmentation of tissue images for computerized IHC analysis. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. https://doi.org/10.1016/j.cmpb.2010.02.002

Di Cataldo, S., Ficarra, E., Acquaviva, A., & Macii, E. (2010). Achieving the Way for Automated Segmentation of Nuclei in Cancer Tissue Images through Morphology-Based Approach: a Quantitative Evaluation. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS. https://doi.org/10.1016/j.compmedimag.2009.12.008

Cucchiara, R. (2010). Video sorveglianza per l'individuazione di persone e l'analisi comportamentale. SAFETY&SECURITY. https://iris.unimore.it/handle/11380/641485

Grana, C., Borghesani, D., & Cucchiara, R. (2010). Decision Trees for Fast Thinning Algorithms. 20th International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2010.695

Reyes-Herrera, P. H., Acquaviva, A., Ficarra, E., & Macii, E. (2010). MicroRNA target prediction and exploration through candidate binding sites generation. International Conference on Complex, Intelligent and Software Intensive Systems, CISIS-2010 Krakow, pol. https://doi.org/10.1109/CISIS.2010.129

Gualdi, G., Prati, A., & Cucchiara, R. (2010). Polar Representation of Covariance Descriptors for Circular Features. ELECTRONICS LETTERS. https://doi.org/10.1049/el.2010.0021

Vezzani, R., & Cucchiara, R. (2010). Event Driven Software Architecture for Multi-camera and Distributed Surveillance Research Systems. IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW). https://doi.org/10.1109/CVPRW.2010.5543825

Baltieri, D., Vezzani, R., & Cucchiara, R. (2010). Fast Background Initialization with Recursive Hadamard Transform. 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2010.43

Vezzani, R., & Cucchiara, R. (2010). Video Surveillance Online Repository (ViSOR): an integrated framework. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-009-0402-9

H., D., Grana, C., J. C., P., & E., V. (2010). Message from the IMPRESS 2010 Workshop Chairs. International Workshop on Database and Expert Systems Applications (DEXA2010). https://iris.unimore.it/handle/11380/703348

Baltieri, D., Vezzani, R., & Cucchiara, R. (2010). 3D Body Model Construction and Matching for Real Time People Re-Identification. Eurographics Italian Chapter Conference 2010 Genova, ita. https://doi.org/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2010/065-071

Abate, F., Ficarra, E., Acquaviva, A., & Macii, E. (2010). An Automated Tool for Scoring Biomedical Terms Correlation Based on Semantic Analysis. International Conference on Complex,Intelligent and Software Intensive Systems,CISIS-2010. https://doi.org/10.1109/CISIS.2010.126

Grana, C., Borghesani, D., & Cucchiara, R. (2010). Surfing on Artistic Documents with Visually Assisted Tagging. ACM International Conference on Multimedia ACM Multimedia 2010,MM'10. https://doi.org/10.1145/1873951.1874216

Borghesani, D., Grana, C., & Cucchiara, R. (2010). Rerum Novarum: Interactive Exploration of Illuminated Manuscripts. International Conference on Multimedia (ACM Multimedia 2010). https://doi.org/10.1145/1873951.1874304

Aravecchia, M., Calderara, S., Chiossi, S., & Cucchiara, R. (2010). A Videosurveillance data browsing software architecture for forensics: From trajectories similarities to video fragments. MiFor'10 - Proceedings of the 2010 ACM Workshop on Multimedia in Forensics, Security and Intelligence, Co-located with ACM Multimedia 2010 Firenze, ita. https://doi.org/10.1145/1877972.1877984

Grana, C., Borghesani, D., & Cucchiara, R. (2010). Optimized Block-based Connected Components Labeling with Decision Trees. IEEE TRANSACTIONS ON IMAGE PROCESSING. https://doi.org/10.1109/TIP.2010.2044963

Orsi, M., Shkurti, A., Acquaviva, A., Ficarra, E., Macii, E., & Ruggiero, M. (2010). GPU acceleration of simulation tool for lipid-bilayers. IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW). https://doi.org/10.1109/BIBMW.2010.5703940

Gualdi, G., Prati, A., & Cucchiara, R. (2010). Perspective and Appearance Context for People Surveillance in Open Areas. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPRW). https://doi.org/10.1109/CVPRW.2010.5543908

Bicocchi, N., Lasagni, M., Mamei, M., Prati, A., Cucchiara, R., & Zambonelli, F. (2010). Unsupervised Learning in Body-area Networks. International ICST Conference on Body Area Networks (BodyNets). https://doi.org/10.1145/2221924.2221955

Gualdi, G., Prati, A., & Cucchiara, R. (2010). Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos. European Conference on Computer Vision (ECCV). https://doi.org/10.1007/978-3-642-15567-3_15

Grana, C., Borghesani, D., Santinelli, P., & Cucchiara, R. (2010). High Performance Connected Components Labeling on FPGA. Workshops on Database and Expert Systems Applications - First International Workshop on Interactive Multimodal Pattern Recognition in Embedded Systems - IMPRESS 2010. https://doi.org/10.1109/DEXA.2010.57

Decker, H., Grana, C., Perez, J. C., & Vidal, E. (2010). Message from the organizers. https://doi.org/10.1109/DEXA.2010.17

Cucchiara, R., & Worring, M. (2009). 1st ACM Workshop on Multimedia in Forensics - MiFor 09, Co-located with the 2009 ACM International Conference on Multimedia, MM 09: Foreword. ACM Workshop on Multimedia in Forensics - MiFor'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 Beijing, chn. https://iris.unimore.it/handle/11380/1247308

Vezzani, R., Piccardi, M., & Cucchiara, R. (2009). An efficient Bayesian framework for on-line action recognition. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2009.5414340

Serra, R., & Cucchiara, R. (2009). AI*IA 2009: Emergent Perspectives in Artificial Intelligence, XIth International Conference of the Italian Association for Artificial Intelligence. LECTURE NOTES IN COMPUTER SCIENCE. https://iris.unimore.it/handle/11380/641488

Calderara, S., Cucchiara, R., Vezzani, R., & Prati, A. (2009). Statistical pattern recognition for multi-camera detection, tracking, and trajectory analysis. https://doi.org/10.1016/B978-0-12-374633-7.00018-5

Vezzani, R., Baltieri, D., & Cucchiara, R. (2009). Pathnodes integration of standalone Particle Filters for people tracking on distributed surveillance systems. International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings Vietri sul Mare, ita. https://doi.org/10.1007/978-3-642-04146-4_44

Calderara, S., Prati, A., & Cucchiara, R. (2009). Video surveillance and multimedia forensics: an application to trajectory analysis. First ACM Workshop on Multimedia in Forensics. https://doi.org/10.1145/1631081.1631085

M., B., A., D. B., Serra, G., C., T., Cucchiara, R., Grana, C., & Vezzani, R. (2009). Dynamic Pictorially Enriched Ontologies for Digital Video Libraries. IEEE MULTIMEDIA. https://doi.org/10.1109/MMUL.2009.25

Prati, A., & Cucchiara, R. (2009). Video Analysis for Ambient intelligence in Urban Environments. ADVANCED INFORMATION AND KNOWLEDGE PROCESSING. https://doi.org/10.1007/978-1-84800-346-0_9

M., W., & Cucchiara, R. (2009). Proceedings of International Workshop on Multimedia in forensics. https://iris.unimore.it/handle/11380/641487

Calderara, S., Cucchiara, R., Prati, A., & Vezzani, R. (2009). Statistical Pattern Recognition for Multi-Camera Detection, Tracking and Trajectory Analysis. https://doi.org/10.1016/B978-0-12-374633-7.00018-5

Grana, C., Borghesani, D., & Cucchiara, R. (2009). Connected component labeling techniques on modern architectures. International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings Vietri sul Mare, ita. https://doi.org/10.1007/978-3-642-04146-4_87

Grana, C., Borghesani, D., & Cucchiara, R. (2009). Automatic Analysis of Historical Manuscripts. International Workshop on Pattern Recognition in Information Systems (PRIS). https://iris.unimore.it/handle/11380/622716

Calderara, S., C., A., Prati, A., & Cucchiara, R. (2009). A Real-Time System for Abnormal Path Detection. International Conference on Imaging for Crime Detection and Prevention (ICDP). https://doi.org/10.1049/ic.2009.0251

Borghesani, D., Grana, C., & Cucchiara, R. (2009). Color features performance comparison for image retrieval. International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings Vietri sul Mare, ita. https://doi.org/10.1007/978-3-642-04146-4_96

Worring, M., & Cucchiara, R. (2009). Multimedia in forensics. ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums Beijing, chn. https://doi.org/10.1145/1631272.1631546

Piccinini, P., Prati, A., & Cucchiara, R. (2009). Multiple Object Segmentation for Pick-and-Place Applications. IAPR CONFERENCE ON MACHINE VISION APPLICATIONS MVA2009. https://iris.unimore.it/handle/11380/615216

Grana, C., & Borghesani, D. (2009). Optimal decision tree synthesis for efficient neighborhood computation. International Conference of the Italian Association for Artificial Intelligence: Emergent Perspectives in Artificial Intelligence, AI IA 2009 Reggio Emilia, ita. https://doi.org/10.1007/978-3-642-10291-2_10

Piccinini, P., Prati, A., & Cucchiara, R. (2009). A Fast Multi-model Approach for Object Duplicate Extraction. Workshop on Applications of Computer Vision (WACV). https://doi.org/10.1109/WACV.2009.5403114

Christian, M., Sangineto, E., Cinque, L., & Gian Luca, F. (2009). Improved statistical techniques for multi-part face detection and recognition. Scandinavian Conference on Image Analysis (SCIA). https://doi.org/10.1007/978-3-642-02230-2_34

Grana, C., Borghesani, D., & Cucchiara, R. (2009). Picture Extraction from Digitized Historical Manuscripts. ACM International Conference on Image and Video Retrieval Santorini Island, grc. https://doi.org/10.1145/1646396.1646426

Grana, C., Borghesani, D., & Cucchiara, R. (2009). Fast Block Based Connected Components Labeling. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2009.5413731

Reyes Herrera, P. H., Acquaviva, A., Ficarra, E., & Macii, E. (2009). Novel Method for MicroRNA Target Prediction Using a Genetic Algorithm. Rocky Mountain Bioinformatics Conference Aspen, Colorado - USA. https://iris.unimore.it/handle/11380/1240348

Piccinini, P., Prati, A., & Cucchiara, R. (2009). Multiple object detection for pick-and-place applications. IAPR Conference on Machine Vision Applications (MVA). https://iris.unimore.it/handle/11380/1247312

Calderara, S., Prati, A., & Cucchiara, R. (2009). Learning People Trajectories using Semi-directional Statistics. Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance. https://doi.org/10.1109/AVSS.2009.34

Apiletti, D., Bruno, G., Ficarra, E., & Baralis, E. M. (2009). Extraction of Constraints from Biological Data. STUDIES IN COMPUTATIONAL INTELLIGENCE. https://doi.org/10.1007/978-3-642-02193-0_7

Gualdi, G., Prati, A., & Cucchiara, R. (2009). Covariance Descriptors on Moving Regions for Human Detection in Very Complex Outdoor Scenes. 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://doi.org/10.1109/ICDSC.2009.5289382

Di Cataldo, S., Ficarra, E., Acquaviva, A., & Macii, E. (2008). Segmentation of Nuclei in Cancer Tissue Images: Contrasting Active Contours with Morphology-Based Approach. IEEE International Conference on BioInformatics and BioEngineering (BIBE). https://doi.org/10.1109/BIBE.2008.4696793

Vezzani, R., & Cucchiara, R. (2008). AD-HOC: Appearance Driven Human tracking with Occlusion Handling. First International Workshop on Tracking Humans for the Evaluation of their Motion in Image Sequences Leeds, UK 5. https://iris.unimore.it/handle/11380/592120

Gualdi, G., A., P., & Cucchiara, R. (2008). Video Streaming for Mobile Video Surveillance. IEEE TRANSACTIONS ON MULTIMEDIA. https://doi.org/10.1109/TMM.2008.2001378

Calderara, S., Prati, A., & Cucchiara, R. (2008). A Markerless Approach for Consistent Action Recognition in a Multi-camera System. 2nd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC). https://doi.org/10.1109/ICDSC.2008.4635691

Sangineto, E., N., C., M., G., & A., M. (2008). Adaptive Course Generation through Learning Styles Representation. UNIVERSAL ACCESS IN THE INFORMATION SOCIETY. https://doi.org/10.1007/s10209-007-0101-0

Calderara, S., Prati, A., & Cucchiara, R. (2008). HECOL: Homography and Epipolar-based Consistent Labeling for Outdoor Park Surveillance. COMPUTER VISION AND IMAGE UNDERSTANDING. https://doi.org/10.1016/j.cviu.2007.07.006

Piccinini, P., Calderara, S., & Cucchiara, R. (2008). Reliable smoke detection system in the domains of image energy and color. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2008.4712020

Ficarra, E., De Micheli, G., Yoon, S., Benini, L., & Macii, E. (2008). Joint co-clustering: co-clustering of genomic and clinical bioimaging data. COMPUTERS & MATHEMATICS WITH APPLICATIONS. https://doi.org/10.1016/j.camwa.2006.12.102

G., I., & Sangineto, E. (2008). LICoSL: Landmark-Based Identikit Composition and Suspect Retrieval. JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY. https://doi.org/10.1080/09720529.2008.10698168

Levialdi, S., Malizia, A., Onorati, T., Sangineto, E., & Sebe, N. (2008). Detecting Attention through Telepresence. Annual International Workshop on Presence Barcelona. https://iris.unimore.it/handle/11380/1264508

A., A., Cinque, L., & Sangineto, E. (2008). Identifying elephant photos by multi-curve matching. PATTERN RECOGNITION. https://doi.org/10.1016/j.patcog.2007.11.010

Cinque, L., Iovane, G., & Sangineto, E. (2008). Comparing SIFT and LDA based face recognition approaches. JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY. https://doi.org/10.1080/09720529.2008.10698398

Baralis, E. M., Bruno, G., & Ficarra, E. (2008). Temporal Association Rules for Gene Regulatory Networks. 4th International IEEE Conference Intelligent Systems (IS). https://doi.org/10.1109/IS.2008.4670511

Prati, A., Calderara, S., & Cucchiara, R. (2008). Using circular statistics for trajectory shape analysis. IEEE Conference on Computer Vision and Pattern. https://doi.org/10.1109/CVPR.2008.4587837

Gualdi, G., A., A., Prati, A., A., T., M., P., & Cucchiara, R. (2008). Using Dominant Sets for Object Tracking with Freely Moving Camera. Workshop on Visual Surveillance Marseille, France 17. https://iris.unimore.it/handle/11380/589849

Di Cataldo, S., Ficarra, E., & Macii, E. (2008). Fully-Automated Segmentation of Tumor Areas in Tissue Confocal Images. BIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing. https://iris.unimore.it/handle/11380/1240362

Grana, C., Borghesani, D., & Cucchiara, R. (2008). Describing Texture Directions with Von Mises Distributions. International Conference on Pattern Recognition. https://doi.org/10.1109/icpr.2008.4761821

Vezzani, R., & Cucchiara, R. (2008). Annotation Collection and Online Performance Evaluation for Video Surveillance: the ViSOR Project. IEEE 5th International Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2008.31

Cucchiara, R. (2008). Artificial vision for the surveillance video. MONDO DIGITALE. https://iris.unimore.it/handle/11380/1247278

Vezzani, R., Calderara, S., Piccinini, P., & Cucchiara, R. (2008). Smoke detection in videosurveillance: the use of VISOR (Video Surveillance On-line Repository). International Conference on Image and Video Retrieval (CIVR). https://doi.org/10.1145/1386352.1386392

Cinque, L., M., C., & Sangineto, E. (2008). Fast viewpoint-invariant articulated hand detection combining curve and graph matching. 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG). https://doi.org/10.1109/AFGR.2008.4813344

Vezzani, R., & Cucchiara, R. (2008). ViSOR: Video Surveillance On-line Repository for Annotation Retrieval. IEEE International Conference on Multimedia and Expo (ICME). https://doi.org/10.1109/ICME.2008.4607676

Grana, C., Borghesani, D., Calderara, S., & Cucchiara, R. (2008). "Inside the Bible": Segmentation, Annotation and Retrieval for a New Browsing Experience. International ACM Conference on Multimedia Information Retrieval,MIR2008,Co-located with the 2008 ACM International Conference on Multimedia,MM'08 Vancouver,British. https://doi.org/10.1145/1460096.1460158

Calderara, S., Cucchiara, R., & Prati, A. (2008). Action Signature: a Novel Holistic Representation for Action Recognition. IEEE International Conference on Advanced Video and Signal Based Surveillance Santa Fè (NM). https://doi.org/10.1109/AVSS.2008.32

Calderara, S., Cucchiara, R., & Prati, A. (2008). Bayesian-competitive Consistent Labeling for People Surveillance. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2007.70814

Calderara, S., Piccinini, P., & Cucchiara, R. (2008). Smoke detection in video surveillance: A MoG model in the wavelet domain. International Conference on Computer Vision Systems (ICVS). https://doi.org/10.1007/978-3-540-79547-6_12

Bicocchi, N., Mamei, M., Prati, A., Cucchiara, R., & Zambonelli, F. (2008). Pervasive Self-Learning with multi-modal distributed sensors. IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops (SASOW). https://doi.org/10.1109/SASOW.2008.51

Di Cataldo, S., Ficarra, E., & Macii, E. (2008). Automated Discrimination of Pathological Regions in Tissue Images: Unsupervised Clustering vs Supervised SVM Classification. COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE. https://doi.org/10.1007/978-3-540-92219-3_26

Gualdi, G., Prati, A., Cucchiara, R., E., A., M., L. C., L., L. P., & M., M. (2008). Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings. ACM Workshop on Vision Networks for Behaviour Analysis, VNBA'08, Co-located with the 2008 ACM International Conference on Multimedia, MM'08 Vancouver, BC, Canada 31. https://doi.org/10.1145/1461893.1461911

Calderara, S., Cucchiara, R., & Prati, A. (2007). A Distributed Outdoor Video Surveillance System for Detection of Abnormal People Trajectories. First ACM/IEEE International Conference on Distributed Smart Cameras,ICDSC-07. https://doi.org/10.1109/ICDSC.2007.4357545

M., B., Cinque, L., & Sangineto, E. (2007). A Statistical Method for People Counting in Crowded Environments. Edition of the International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1109/ICIAP.2007.4362828

Grana, C., Daniele, V., Pellacani, G., Seidenari, S., & Cucchiara, R. (2007). Network patterns recognition for automatic dermatologie images classification. Medical Imaging 2007: Image Processing. https://doi.org/10.1117/12.708212

Cucchiara, R., Prati, A., & Vezzani, R. (2007). A Multi-Camera Vision System for Fall Detection and Alarm Generation. EXPERT SYSTEMS. https://doi.org/10.1111/j.1468-0394.2007.00438.x

Cucchiara, R., Prati, A., Vezzani, R., L., B., E., F., & P., Z. (2007). Using a Wireless Sensor Network to Enhance Video Surveillance. JOURNAL OF UBIQUITOUS COMPUTING AND INTELLIGENCE. https://iris.unimore.it/handle/11380/585423

Cucchiara, R. (2007). Proceedings - 14th International conference on Image Analysis and Processing, ICIAP 2007: Foreword. Edition of the International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1109/ICIAP.2007.4362746

Cucchiara, R. (2007). Proceedings of 14th International Conference on Image Analysis and Processing (ICIAP 2007). ICIAP. https://iris.unimore.it/handle/11380/641486

Grana, C., & Cucchiara, R. (2007). Linear Transition Detection as a Unified Shot Detection Approach. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY. https://doi.org/10.1109/TCSVT.2006.888818

Gualdi, G., Prati, A., & Cucchiara, R. (2007). Mobile Video Surveillance with Low-Bandwidth Low-Latency Video Streaming. ACM Workshop on Mobile Video, MV'07, Co-located with the ACM Multimedia 2007, MM'07 Augsburg, Bavaria, deu 28. https://doi.org/10.1145/1290050.1290066

Grana, C., Vezzani, R., Borghesani, D., & Cucchiara, R. (2007). Compressed Domain Features Extraction for Shot Characterization. International Workshop on Knowledge Acquisition from Multimedia Content (KAMC). https://iris.unimore.it/handle/11380/591994

Di Cataldo, S., Ficarra, E., & Macii, E. (2007). Selection of Tumor Areas and Segmentation of Nuclear Membranes in Tissue Confocal Images: a Fully-Automated Approach. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://doi.org/10.1109/BIBM.2007.10

Grana, C., Vezzani, R., & Cucchiara, R. (2007). Enhancing HSV Histograms with Achromatic Points Detection for Video Retrieval. ACM International Conference on Image and Video Retrieval (CIVR). https://doi.org/10.1145/1282280.1282327

P., R., Prati, A., G. L., F., & Cucchiara, R. (2007). Expert environments: Machine intelligence methods for ambient intelligence. EXPERT SYSTEMS. https://doi.org/10.1111/j.1468-0394.2007.00434.x

Cucchiara, R., Grana, C., & Vezzani, R. (2007). Semi-automatic Video Digital Library Annotation Tools. Third Italian Research Conference on Digital Library Systems (IRCDL). https://iris.unimore.it/handle/11380/592297

Vezzani, R., & Cucchiara, R. (2007). Visor: Video Surveillance Online Repository. BMVA symposium on Security and surveillance: performance evaluation London, UK 13. https://iris.unimore.it/handle/11380/592181

Levialdi Ghiron, S., Malizia, A., Onorati, T., Sangineto, E., & Sebe, N. (2007). Detecting attention through Telepresence. Presence 2007 Barcelona. https://iris.unimore.it/handle/11380/1264533

Sangineto, E. (2007). An adaptive e-learning platform for personalized course  generation. https://doi.org/10.4018/978-1-59904-633-4.ch014

Grana, C., M., D., & Cucchiara, R. (2007). Similarity-Based Retrieval with MPEG-7 3D Descriptors: Performance Evaluation on the Princeton Shape Benchmark. International DELOS Conference Pisa, ita. https://doi.org/10.1007/978-3-540-77088-6_30

A., A., Cinque, L., F., D. R., & Sangineto, E. (2007). A semi-automatic approach to photo identification of wild elephants. Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA). https://doi.org/10.1007/978-3-540-72847-4_30

Calderara, S., Cucchiara, R., & Prati, A. (2007). A Dynamic Programming Technique for Classifying Trajectories. International Conference on Image Analysis and Processing Modena Italy. https://doi.org/10.1109/ICIAP.2007.4362770

M., B., A., D. B., C., T., Grana, C., Vezzani, R., & Cucchiara, R. (2007). Sports Video Annotation Using Enhanced HSV Histograms in Multimedia Ontologies. International Workshop on Visual and Multimedia Digital Libraries Modena, ita. https://doi.org/10.1109/ICIAPW.2007.43

Gualdi, G., Prati, A., & Cucchiara, R. (2007). An Open Source Architecture for Low-Latency Video Streaming on PDAs. IEEE International Symposium on Multimedia (ISM). https://doi.org/10.1109/ISM.2007.25

Sangineto, E. (2007). Shape Based Image Retrieval by Alignment. https://doi.org/10.4018/978-1-59904-370-8.ch003

Grana, C., Borghesani, D., & Cucchiara, R. (2007). Video Shots Comparison using the Mallows Distance. International Workshop on Multimedia Data Mining and Management. https://doi.org/10.1109/DEXA.2007.142

Baralis, E. M., Ficarra, E., Fiori, A., & Macii, E. (2007). Gene-Markers Representation for Microarray Data Integration. IEEE International Conference on Bioinformatics and Bioengineering,BIBE. https://doi.org/10.1109/BIBE.2007.4375688

M., B., A., D. B., C., T., Grana, C., & Cucchiara, R. (2007). Dynamic Pictorial Ontologies for Video Digital libraries Annotation. International Multimedia Conference,MM'07 - Workshop on the Many Faces of Multimedia Semantics,MS'07. https://doi.org/10.1145/1290067.1290076

Seidenari, S., Pellacani, G., & Grana, C. (2007). Early Detection of Melanoma by Image Analysis. https://iris.unimore.it/handle/11380/782689

Grana, C., Vezzani, R., & Cucchiara, R. (2007). Prototypes Selection with Context Based Intra-class Clustering for Video Annotation with Mpeg7 Features. International DELOS Conference Pisa, ita. https://doi.org/10.1007/978-3-540-77088-6_26

Calderara, S., Cucchiara, R., & Prati, A. (2007). Detection of Abnormal Behaviors using a Mixture of Von Mises Distributions. IEEE Conference on Advanced Video and Signal based Surveillance London (UK). https://doi.org/10.1109/AVSS.2007.4425300

Gualdi, G., Prati, A., & Cucchiara, R. (2007). Video transcoding and streaming for mobile applications. International DELOS Conference Pisa, ita. https://doi.org/10.1007/978-3-540-77088-6_25

Cucchiara, R., Perini, E., & Pistoni, G. (2007). Efficient stereo vision for obstacle detection and AGV navigation. Edition of the International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1109/ICIAP.2007.4362794

Grana, C., Vanini, D., Seidenari, S., Pellacani, G., & Cucchiara, R. (2007). Network patterns recognition for automatic dermatoscopic images classification. Medical Imaging 2007 San Diego (CA) U.S.A. https://iris.unimore.it/handle/11380/464377

M., A., Cinque, L., & Sangineto, E. (2007). Deformation tolerant generalized Hough transform for sketch-based image retrieval in complex scenes. IMAGE AND VISION COMPUTING. https://doi.org/10.1016/j.imavis.2007.03.002

Del Bimbo, A., Boujemaa, N., & Cucchiara, R. (2007). International workshop on Visual and Multimedia Digital Libraries (VMDL07). International Conference on Image Analysis and Processing Workshops (ICIAP). https://doi.org/10.1109/ICIAPW.2007.45

Seidenari, S., Grana, C., & Pellacani, G. (2007). Colour clusters for computer diagnosis of melanocytic lesions. DERMATOLOGY. https://doi.org/10.1159/000098573

L., B., Cucchiara, R., G., P., & Prati, A. (2006). A semi-automatic system for segmentation of cardiac M-mode images. PATTERN ANALYSIS AND APPLICATIONS. https://doi.org/10.1007/s10044-006-0034-x

Ficarra, E., Macii, E., Benini, L., & De Micheli, G. (2006). Computer-aided evaluation of protein expression in pathological tissue images. IEEE International Symposium on Computer-Based Medical Systems (CBMS). https://doi.org/10.1109/CBMS.2006.71

M., B., Cucchiara, R., A., D. B., & Prati, A. (2006). Semantic Annotation and Adaptation of Live Sports Videos. Second Italian Research Conference on Digital Library Management Systems Padova, Italy 27. https://iris.unimore.it/handle/11380/592281

Vezzani, R., Cucchiara, R., A., M., & L., C. (2006). 3-D Virtual Environments on Mobile Devices for Remote Surveillance. IEEE International Conference on Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2006.2

M., B., A., D. B., C., T., Grana, C., & Cucchiara, R. (2006). MOM: multimedia ontology manager. A framework for automatic annotation and semantic retrieval of video sequences. Annual ACM International Conference on Multimedia (MM). https://doi.org/10.1145/1180639.1180809

Perini, E., S., S., Prati, A., & Cucchiara, R. (2006). FaceMouse: A human-computer interface for tetraplegic people. ECCV 2006 Workshop on HCI Graz, aut 13. https://doi.org/10.1007/11754336_10

Grana, C., Cucchiara, R., Pellacani, G., & Seidenari, S. (2006). Line Detection and Texture Characterization of Network Patterns. International Conference on Pattern Recognition Hong Kong. https://doi.org/10.1109/ICPR.2006.764

Grana, C., Pellacani, G., & Seidenari, S. (2006). Practical Color Calibration for Dermatoscopic Images. https://iris.unimore.it/handle/11380/591890

A., H., Vezzani, R., S., S., & Cucchiara, R. (2006). Estimating Geospatial Trajectory of a Moving Camera. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2006.499

Cucchiara, R., Prati, A., & Vezzani, R. (2006). A system for automatic face obscuration for privacy purposes. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/j.patrec.2006.02.018

Grana, C., Pellacani, G., Seidenari, S., & Cucchiara, R. (2006). Distance transform for automatic dermatologic images composition. Medical Imaging 2006: Image Processing. https://doi.org/10.1117/12.653314

Prati, A., F., S., & Cucchiara, R. (2006). Fast Dynamic Mosaicing and Person Following. International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2006.544

Cinque, L., Sangineto, E., & S. L., T. (2006). Articulated Object Recognition: A General Framework and a Case Study. IEEE International Conference on Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2006.26

Grana, C., Vezzani, R., Bulgarelli, D., Gualdi, G., Cucchiara, R., M., B., C., T., & A., D. B. (2006). PEANO: Pictorial Enriched Annotation of Video. Annual ACM International Conference on Multimedia (MM). https://doi.org/10.1145/1180639.1180812

Calderara, S., Melli, R. M., Prati, A., & Cucchiara, R. (2006). Reliable background suppression for complex scenes. ACM international workshop on Video surveillance and sensor networks Santa Barbara (CA) 27. https://doi.org/10.1145/1178782.1178814

Cucchiara, R., Grana, C., D., B., & Vezzani, R. (2006). A semi-automatic video annotation tool with MPEG-7 content collections. ISM 2006 - 8th IEEE International Symposium on Multimedia. https://doi.org/10.1109/ISM.2006.12

Cucchiara, R., Grana, C., Prati, A., & Vezzani, R. (2006). A Distributed Domotic Surveillance System. https://doi.org/10.1049/PBPC005E_ch4

Grana, C., Vezzani, R., & Cucchiara, R. (2006). University of Modena and Reggio Emilia at TRECVID 2006. TREC Video Retrieval Evaluation (TRECVID). https://iris.unimore.it/handle/11380/703350

Pellacani, G., Grana, C., & Seidenari, S. (2006). Algorithmic reproduction of asymmetry and border cut-off parameters according to the ABCD rule for dermoscopy. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://doi.org/10.1111/j.1468-3083.2006.01751.x

Aggarwal, J., & Cucchiara, R. (2006). Special Issue on Multimedia Surveillance Systems: Guest Editorial. MULTIMEDIA SYSTEMS. https://doi.org/10.1007/s00530-006-0072-7

L., C., Sangineto, E., & S., T. (2006). Recognition of articulated robots in the RoboCup domain. MACHINE GRAPHICS & VISION. https://iris.unimore.it/handle/11380/1264545

Seidenari, S., Pellacani, G., & Grana, C. (2006). Asymmetry in dermoscopic melanocytic lesion images: a computer description based on colour distribution. ACTA DERMATO-VENEREOLOGICA. https://doi.org/10.2340/00015555-0043

M., B., Cucchiara, R., A., D. B., & Prati, A. (2006). Semantic adaptation of sport videos with user-centred performance analysis. IEEE TRANSACTIONS ON MULTIMEDIA. https://doi.org/10.1109/TMM.2006.870762

Grana, C., Vezzani, R., Bulgarelli, D., & Cucchiara, R. (2006). MPEG-7 Pictorially Enriched Ontologies for Video Annotation. Seconda Conferenza Italiana sui Sistemi Intelligenti. https://iris.unimore.it/handle/11380/464385

Ficarra, E., Yoon, S., Benini, L., Macii, E., & De Micheli, G. (2006). Clinical bioimaging and functional genomics. I FIMA International Conference on Models and Methods for Human Genomics Ayas-Champoluc,Aosta. https://iris.unimore.it/handle/11380/1240356

Calderara, S., Cucchiara, R., & Prati, A. (2006). Multimedia Surveillance: Content-based Retrieval with Multicamera People Tracking. ACM international workshop on Video surveillance and sensor networks Santa Barbara (CA) 27. https://doi.org/10.1145/1178782.1178797

Grana, C., & Cucchiara, R. (2006). Performance of the MPEG-7 Shape Spectrum Descriptor for 3D objects retrieval. Second Italian Research Conference on Digital Library Management Systems Padova. https://iris.unimore.it/handle/11380/592212

Cucchiara, R., Prati, A., & Vezzani, R. (2006). Advanced video surveillance with pan tilt zoom cameras. Workshop on Visual Surveillance (VS). https://iris.unimore.it/handle/11380/308066

Grana, C., & Cucchiara, R. (2006). Sub-Shot Summarization for MPEG-7 based Fast Browsing. Second Italian Research Conference on Digital Library Management Systems Padova. https://iris.unimore.it/handle/11380/592213

Gualdi, G., Cucchiara, R., & Prati, A. (2006). Low-latency Live Video Streaming over Low-Capacity Networks. ISM 2006 - 8th IEEE International Symposium on Multimedia San Diego, CA (USA). https://doi.org/10.1109/ISM.2006.102

Gaeta, M., Iovane, G., & Sangineto, E. (2006). A 3D geometric approach to face detection and facial expression recognition. JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY. https://doi.org/10.1080/09720529.2006.10698059

Calderara, S., Cucchiara, R., & Prati, A. (2006). Group Detection at Camera Handoff for Collecting People Appearance in Multi-camera Systems. IEEE International Conference on Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2006.55

Seidenari, S., Pellacani, G., & Grana, C. (2006). Automated Assessment of Pigment Distribution and Color Areas for Melanoma Diagnosis. https://iris.unimore.it/handle/11380/805692

Calderara, S., Cucchiara, R., & Prati, A. (2006). The LAICA project: Experiments on Multicamera People Tracking and Logging. Conferenza Italiana Sistemi Intelligenti. https://iris.unimore.it/handle/11380/464386

Melli, R. M., Grana, C., & Cucchiara, R. (2006). Comparison of color clustering algorithms for segmentation of dermatological images. Medical Imaging 2006: Image Processing. https://doi.org/10.1117/12.652061

Masotti, D., Ficarra, E., Benini, L., Macii, E., & Zuccheri, G. (2006). Optimized Techniques for DNA structural properties investigation. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS. https://doi.org/10.1142/S0218213006002886

Ficarra, E., De Micheli, G., Yoon, S., Benini, L., & Macii, E. (2006). Bioimaging and Clinical Genomics. pHealth IEEE International workshop on wearable micro and nanosystems for personalized Health Luzern, Switzerland 30. https://iris.unimore.it/handle/11380/1240313

Grana, C., Bulgarelli, D., & Cucchiara, R. (2006). Video Clip Clustering for Assisted Creation of MPEG-7 Pictorially Enriched Ontologies. Second International Symposium on Communications, Control and Signal Processing Marrakech, Marocco. https://iris.unimore.it/handle/11380/591930

Grana, C., Tardini, G., & Cucchiara, R. (2005). Adaptation and Annotation of Formula 1 Sport Videos. First Italian Research Conference on Digital Library Management Systems Padova. https://iris.unimore.it/handle/11380/464369

Seidenari, S., Pellacani, G., & Grana, C. (2005). Pigment distribution in melanocytic lesion images: a digital parameter to be employed for computer-aided diagnosis. SKIN RESEARCH AND TECHNOLOGY. https://doi.org/10.1111/j.0909-725X.2005.00123.x

Tardini, G., Grana, C., R., M., & Cucchiara, R. (2005). Shot detection and motion analysis for automatic MPEG-7 annotation of sports videos. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/11553595_80

Prati, A., & Cucchiara, R. (2005). On the usefulness of object shape coding with MPEG-4. Seventh IEEE International Symposium on Multimedia (ISM). https://doi.org/10.1109/ISM.2005.87

Cucchiara, R., Prati, A., C., O., & S., P. (2005). Ambient Intelligence in Urban Environments. Nono Congresso della Associazione Italiana per l’Intelligenza Artificiale Milano, Italy 20. https://iris.unimore.it/handle/11380/464361

Cucchiara, R., Grana, C., Prati, A., & Vezzani, R. (2005). Computer vision system for in-house video surveillance. IEE PROCEEDINGS. VISION, IMAGE AND SIGNAL PROCESSING. https://doi.org/10.1049/ip-vis:20041215

Y., Z., J., L., X., C., A., B., A., H., S., A., M., S., Grana, C., & Cucchiara, R. (2005). Video understanding and content-based retrieval. TREC Video Retrieval Evaluation Gaithersburg, MD. https://iris.unimore.it/handle/11380/703349

Cucchiara, R. (2005). Multimedia Surveillance Systems. ACM International Workshop on Video Surveillance and Sensor Networks (VSSN). https://doi.org/10.1145/1099396.1099399

Aggarwal, J. K., Cucchiara, R., Chang, E., & Wang, Y. (2005). Foreword. ACM International Workshop on Video Surveillance and Sensor Networks (VSSN). https://iris.unimore.it/handle/11380/1248545

Cucchiara, R., Prati, A., & Vezzani, R. (2005). Posture Classification in a Multi-camera Indoor Environment. IEEE International Conference on Image Processing (ICIP). https://doi.org/10.1109/ICIP.2005.1529853

Cucchiara, R., Prati, A., & Vezzani, R. (2005). Ambient Intelligence for Security in Public Parks: the LAICA Project. IEE International Symposium on Imaging for Crime Detection and Prevention (ICDP). https://doi.org/10.1049/ic:20050086

Prati, A., Vezzani, R., L., B., E., F., & P., Z. (2005). An Integrated Multi-Modal Sensor Network for Video Surveillance. ACM International Workshop on Video Surveillance and Sensor Networks (VSSN). https://doi.org/10.1145/1099396.1099415

Ficarra, E., Benini, L., Macii, E., & Zuccheri, G. (2005). Automated DNA Fragments Recognition and Sizing through AFM Image Processing. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. https://doi.org/10.1109/TITB.2005.855546

M., G., G., I., & Sangineto, E. (2005). A survey on nonrigid object recognition approaches and their applications to face detection and human body detection. JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES. https://iris.unimore.it/handle/11380/1264640

Cucchiara, R., & Del Bimbo, A. (2005). Guest editorial: Special issue on video segmentation for semantic annotation and transcoding. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-005-1047-y

Cucchiara, R., & Vezzani, R. (2005). Assessing Temporal Coherence for Posture Classification with Large Occlusions. IEEE Workshop on Motion and Video Computing. https://doi.org/10.1109/ACVMOT.2005.22

Grana, C., Tardini, G., & Cucchiara, R. (2005). MPEG-7 Compliant Shot Detection in Sport Videos. Seventh IEEE International Symposium on Multimedia (ISM). https://doi.org/10.1109/ISM.2005.82

Seidenari, S., Pellacani, G., & Grana, C. (2005). Colors in atypical nevi: a computer description reproducing clinical assessment. SKIN RESEARCH AND TECHNOLOGY. https://doi.org/10.1111/j.1600-0846.2005.00097.x

C., T., A., D. B., Cucchiara, R., & M., B. (2005). Video Annotation with Pictorially Enriched Ontologies. IEEE International Conference on Multimedia and Expo (ICME). https://doi.org/10.1109/ICME.2005.1521699

Cucchiara, R., Grana, C., & Tardini, G. (2005). Shot Detection for Formula 1 Video Digital Libraries. International Workshop of the EU Network of Excellence DELOS on Audio-Visual Content and Information Visualization in Digital Libraries Cortona. https://iris.unimore.it/handle/11380/464365

Cucchiara, R., Prati, A., & Vezzani, R. (2005). Making the home safer and more secure through visual surveillance. International Conference on Methods and Techniques in Behavioral Research Wageningen, The Netherlands 30. https://iris.unimore.it/handle/11380/466439

Cucchiara, R., Melli, R. M., & Prati, A. (2005). Auto-iris Compensation for Traffic Surveillance Systems. IEEE Intelligent Transportation Systems Conference Vienna, aut. https://doi.org/10.1109/ITSC.2005.1520161

Sangineto, E., & M. R., I. (2005). Environment Topological Structure Recognition for Robot Navigation. Proceedings of the 13th Int. Conf. on Image Analysis and Processing Cagliari, ita (September). https://doi.org/10.1007/11553595_134

Pellacani, G., A. M., C., Longo, C., Bassoli, S., Grana, C., & Seidenari, S. (2005). In Vivo Confocal Microscopy of Melanocytic Lesions Improves Diagnostic Accuracy for Melanoma. JOURNAL OF INVESTIGATIVE DERMATOLOGY. https://iris.unimore.it/handle/11380/3267

Cucchiara, R., Prati, A., L., B., & E., F. (2005). T_PARK: Ambient Intelligence for Security in Public Parks. IEE International Workshop on Intelligent Environments, Special session on "Ambient Intelligence" Colchester, gbr. https://iris.unimore.it/handle/11380/308177

Bertini, M., Cucchiara, R., Del Bimbo, A., & Torniai, C. (2005). Domain knowledge extension with pictorially enriched ontologies. International Conference on Computer Analysis of Images and Patterns (CAIP). https://doi.org/10.1007/11556121_80

M., B., Cucchiara, R., A., D. B., & Prati, A. (2005). Real Time Semantic Adaptation of Sports Video with User-centred Performance Analysis. International Workshop on Image Analysis for Multimedia Interactive Services. https://iris.unimore.it/handle/11380/466433

Calderara, S., Vezzani, R., Prati, A., & Cucchiara, R. (2005). Entry Edge of Field of View for multi-camera tracking in distributed video surveillance. IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS). https://doi.org/10.1109/AVSS.2005.1577249

Melli, R. M., Cucchiara, R., Prati, A., & L., D. C. (2005). Predictive and Probabilistic Tracking to Detect Stopped Vehicles. IEEE Workshop on Applications of Computer Vision (WACV). https://doi.org/10.1109/ACVMOT.2005.96

Calderara, S., Prati, A., Vezzani, R., & Cucchiara, R. (2005). Consistent labeling for multi-camera object tracking. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1007/11553595_148

M., B., Cucchiara, R., A., D. B., & Prati, A. (2005). An integrated framework for semantic annotation and adaptation. MULTIMEDIA TOOLS AND APPLICATIONS. https://doi.org/10.1007/s11042-005-0893-y

Grana, C., Pellacani, G., & Seidenari, S. (2005). Practical color calibration for dermoscopy, applied to a digital epiluminescence microscope. SKIN RESEARCH AND TECHNOLOGY. https://doi.org/10.1111/j.0909-725X.2005.00127.x

Cucchiara, R., Grana, C., Prati, A., & Vezzani, R. (2005). Probabilistic posture classification for human-behavior analysis. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS. https://doi.org/10.1109/TSMCA.2004.838501

Pellacani, G., Am, C., Longo, C., Grana, C., & Seidenari, S. (2005). Microscopic in vivo description of cellular architecture of dermoscopic pigment network in nevi and melanomas. ARCHIVES OF DERMATOLOGY. https://doi.org/10.1001/archderm.141.2.147

Ficarra, E., Masotti, D., Benini, L., Macii, E., Zuccheri, G., & Samori, B. (2005). Automatic Intrinsic DNA Curvature Computation from AFM Images. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. https://doi.org/10.1109/TBME.2005.857666

Pellacani, G., Grana, C., A., M., & Seidenari, S. (2004). The A and B Parameters Of The Abcd Rule Of Dermoscopy: The Computer Point Of View. MELANOMA RESEARCH. https://iris.unimore.it/handle/11380/763705

Cucchiara, R., Prati, A., & Vezzani, R. (2004). An Intelligent Surveillance System for Dangerous Situation Detection in Home Environments. INTELLIGENZA ARTIFICIALE. https://iris.unimore.it/handle/11380/457242

Seidenari, S., Pellacani, G., & Grana, C. (2004). Computer Description Of Colors In Dermoscopic Melanocytic Lesion Images Reproducing Clinical Assessment. MELANOMA RESEARCH. https://iris.unimore.it/handle/11380/763706

N., C., M., G., A., M., & Sangineto, E. (2004). Diogene: a Semantic Web-Based Automatic Brokering System. AIS SIGSEMIS BULLETIN. https://iris.unimore.it/handle/11380/1264620

Cucchiara, R., Grana, C., & Prati, A. (2004). Semantic Transcoding of Videos by using Adaptive Quantization. WANGJÌ WANGLÙ JÌSHÙ XUÉKAN. https://iris.unimore.it/handle/11380/310134

Cucchiara, R., Prati, A., & Vezzani, R. (2004). Real-time motion segmentation from moving cameras. REAL-TIME IMAGING. https://doi.org/10.1016/j.rti.2004.03.002

Sangineto, E. (2004). Shape Similarity Image Retrieval by Hypothesis and Test. Proceedings of the 17th International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/icpr.2004.1334432

Cucchiara, R., Grana, C., Tardini, G., & Vezzani, R. (2004). Probabilistic People Tracking for Occlusion Handling. Proceedings of the 17th International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2004.1334025

Seidenari, S., Pellacani, G., A., M., & Grana, C. (2004). Colors in atypical nevi: a computer description reproducing clinical assessment. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591957

Seidenari, S., Pellacani, G., A., M., & Grana, C. (2004). A computer description of asymmetry in melanocytic lesion images based on color distribution. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591958

Pellacani, G., A. M., C., Longo, C., Grana, C., & Seidenari, S. (2004). Improving melanoma diagnosis by means of in vivo confocal laser microscopy. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591955

Cucchiara, R., Grana, C., & Tardini, G. (2004). Track-based and object-based occlusion for people tracking refinement in indoor surveillance. VSSN'04 - Proceedings of the ACM Second International Workshop on Video Surveillance and Sensor Networks. https://doi.org/10.1145/1026799.1026814

Pellacani, G., Grana, C., Cucchiara, R., & Seidenari, S. (2004). Automated extraction and description of dark areas in surface microscopy melanocytic lesion images. DERMATOLOGY. https://doi.org/10.1159/000075041

Pellacani, G., Grana, C., & Seidenari, S. (2004). Automated description of colours in polarized-light surface microscopy images of melanocytic lesions. MELANOMA RESEARCH. https://doi.org/10.1097/00008390-200404000-00008

Masotti, D., Ficarra, E., Macii, E., & Benini, L. (2004). Techniques for Enhancing Computation of DNA Curvature Molecules. IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE2004). https://doi.org/10.1109/BIBE.2004.1317321

Pellacani, G., A. M., C., Grana, C., & Seidenari, S. (2004). In vivo confocal scanning laser microscopy of pigmented Spitz nevi: Comparison of in vivo confocal images with dermoscopy and routine histopathology. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY. https://doi.org/10.1016/j.jaad.2003.12.041

Cucchiara, R., Grana, C., Prati, A., Tardini, G., & Vezzani, R. (2004). Using computer vision techniques for dangerous situation detection in domotic applications. IEE Symposium on Intelligent Distributed Surveillance Systems Londra. https://iris.unimore.it/handle/11380/466427

Sangineto, E., M., A., & A., M. (2004). Visual Retrieval through Geometric Voting. https://iris.unimore.it/handle/11380/1264457

Grana, C., Pellacani, G., Seidenari, S., & Cucchiara, R. (2004). Color Calibration for a Dermatological Video Camera System. Proceedings of the 17th International Conference on Pattern Recognition (ICPR). https://doi.org/10.1109/ICPR.2004.1334649

Pellacani, G., A. M., C., Longo, C., Grana, C., & Seidenari, S. (2004). Differential diagnosis between spitz nevi and melanomas by means of in-vivo confocal microscopy. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591956

Ficarra, E., Benini, L., Macii, E., & Zuccheri, G. (2004). A Robust Algorithm for Automated Analysis of DNA Molecules in AFM Images. IASTED Biomedical Engineering. https://iris.unimore.it/handle/11380/1240355

Cucchiara, R., Prati, A., & Vezzani, R. (2003). Domotics for disability: smart surveillance and smart video server. Conference of the Italian Association of Artificial Intelligence Pisa. https://iris.unimore.it/handle/11380/464319

Grana, C., Pellacani, G., Seidenari, S., & Cucchiara, R. (2003). Image Representation and Retrieval with Topological Trees. Image: E-Learning,Understanding,Information Retrieval and Medical. https://doi.org/10.1142/9789812704238_0009

Cucchiara, R., Grana, C., & Prati, A. (2003). Semantic video transcoding using classes of relevance. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS. https://doi.org/10.1142/S0219467803000956

Pellacani, G., Grana, C., A., M., & Seidenari, S. (2003). Comparison between two methods for automated extraction and description of dark areas in dermoscopic images. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591953

Sangineto, E. (2003). An Abstract Representation of Geometric Knowledge For Object Classification. PATTERN RECOGNITION LETTERS. https://doi.org/10.1016/S0167-8655(02)00305-7

Cucchiara, R., Grana, C., A., P., F., V., & M., P. (2003). Camera-car Video Analysis for Steering Wheel's Tracking. International Workshop on In-Vehicle Cognitive Computer Vision Systems. https://iris.unimore.it/handle/11380/464323

Cucchiara, R., Grana, C., A., P., & Vezzani, R. (2003). A Hough transform-based method for radial lens distortion correction. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1109/ICIAP.2003.1234047

Cucchiara, R., Prati, A., & Vezzani, R. (2003). Object Segmentation in Videos from Moving Camera with MRFs on Color and Motion Features. IEEE Computer Society Conference on Computer Vision and Pattern. https://iris.unimore.it/handle/11380/308160

M. R., I., A., M., & Sangineto, E. (2003). Recognition in Office-Like Environments Through the extraction of the Perspective Structure. Symposium on Robot Control SYROCO na. https://iris.unimore.it/handle/11380/1264421

Grana, C., Pellacani, G., Cucchiara, R., & Seidenari, S. (2003). A new algorithm for border description of polarized light surface microscopic images of pigmented skin lesions. IEEE TRANSACTIONS ON MEDICAL IMAGING. https://doi.org/10.1109/TMI.2003.815901

Iarusso, M. R., Micarelli, A., & Sangineto, E. (2003). Recognition of office-like environments through the extraction of the perspectwe structure. IFAC Symposium on Robot Control (SYROCO). https://doi.org/10.1016/S1474-6670(17)33394-3

M., A., A., M., & Sangineto, E. (2003). A New Content Based Image Retrieval Method Based on a Sketch-Driven Interpretation of Line Segments. International Joint Conference on Artificial Intelligence (IJCAI). https://iris.unimore.it/handle/11380/1264586

Cucchiara, R., Grana, C., Piccardi, M., & Prati, A. (2003). Detecting moving objects, ghosts, and shadows in video streams. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. https://doi.org/10.1109/TPAMI.2003.1233909

Capuano, N., M., G., Micarelli, A., & Sangineto, E. (2003). An Intelligent Web Teacher System for Learning Personalization and Semantic Web Compatibility. Eleventh International PEG Conference, St. Petersburg, Russia San Pietroburgo, Russia 28. https://iris.unimore.it/handle/11380/1264393

M., A., A., M., & Sangineto, E. (2003). Content Based Image Retrieval for Unsegmented Images. Congress of the Italian Association for Artificial Intelligence. https://doi.org/10.1007/978-3-540-39853-0_33

Seidenari, S., Pellacani, G., & Grana, C. (2003). Computer description of colours in dermoscopic melanocytic lesion images reproducing clinical assessment. BRITISH JOURNAL OF DERMATOLOGY. https://doi.org/10.1046/j.1365-2133.2003.05496.x

Pellacani, G., Grana, C., A., M., & Seidenari, S. (2003). Border cut-off in dermoscopic images of melanocytic lesions: computer evaluation and comparison with clinical assessment. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591954

Vergara, M., Capuano, N., & Sangineto, E. (2003). Diogene: a Training Web Broker for ICT Professionals. International Conference on Multimedia and ICT in Education (m-ICTE 2003). https://iris.unimore.it/handle/11380/1264377

Cucchiara, R., Grana, C., A., P., & Vezzani, R. (2003). Computer Vision Techniques for PDA Accessibility of In-House Video Surveillance. ACM SIGMM International Workshop on Video Surveillance (IWVS). https://doi.org/10.1145/982452.982464

Seidenari, S., Pellacani, G., Grana, C., & Cucchiara, R. (2002). Development of a new program for image analysis of digital videomicroscopic images of pigmented skin lesions. JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY. https://iris.unimore.it/handle/11380/591921

Cucchiara, R., Grana, C., & Piccardi, M. (2002). Iterative fuzzy clustering for detecting regions of interest in skin lesions. AIIA NOTIZIE. https://iris.unimore.it/handle/11380/449705

Cucchiara, R., Grana, C., Prati, A., Seidenari, S., & Pellacani, G. (2002). Building the Topological Tree by Recursive FCM Color Clustering. Object recognition supported by user interaction for service robots Quebec. https://iris.unimore.it/handle/11380/308136

A., D. E., A., M., A., N., Sangineto, E., & G., S. (2002). An Architecture for Video Content-Based Retrieval. AIIA NOTIZIE. https://iris.unimore.it/handle/11380/1264631

C., C., A., M., & Sangineto, E. (2002). Automatic Annotation of Tennis Video Sequences. Symposium of the German Pattern Recognition Association (DAGM). https://doi.org/10.1007/3-540-45783-6_65

Cucchiara, R., Grana, C., & A., P. (2002). A Framework for Semantic Video Transcoding. Ottavo Convegno della Associazione Italiana per l'Intelligenza Artificiale. https://iris.unimore.it/handle/11380/466435

Cucchiara, R., Grana, C., & A., P. (2002). Detecting Moving Objects and their Shadows: An Evaluation with the PETS2002 Dataset. Third IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS’2002). https://iris.unimore.it/handle/11380/308132

Pellacani, G., Grana, C., & Seidenari, S. (2002). Comparison between computer elaboration and clinical assessment of asymmetry and border cut-off in melanoma images. EXPERIMENTAL DERMATOLOGY. https://iris.unimore.it/handle/11380/5495

M., A., A., M., & Sangineto, E. (2002). A Deformation Tolerant Version of the Generalized Hough Transform for Image Retrieval. Proceedings of the Fifteenth European Conference on Artificial Intelligence CLAUDE BERNARD. https://iris.unimore.it/handle/11380/1264440

M., A., A., M., & Sangineto, E. (2002). Recupero di Immagini tramite Trasformata di Hough. Ottavo Convegno dell'Associazione Italiana per l'Intelligenza (AI*IA-02) na. https://iris.unimore.it/handle/11380/1264575

Cucchiara, R., & Grana, C. (2002). Using the Topological Tree for skin lesion structure description. Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems Podere d'Ombriano,Crema. https://iris.unimore.it/handle/11380/20582

Cucchiara, R., Grana, C., & Prati, A. (2002). Semantic transcoding for live video server. ACM International Conference on Multimedia. https://doi.org/10.1145/641007.641050

Ficarra, E. (2002). Automated DNA sizing in atomic force microscope images. IEEE International Symposium on Biomedical Imaging (ISBI). https://doi.org/10.1109/ISBI.2002.1029292

Cucchiara, R., Grana, C., Seidenari, S., & Pellacani, G. (2002). Exploiting color and topological features for region segmentation with recursive fuzzy c-means. MACHINE GRAPHICS & VISION. https://iris.unimore.it/handle/11380/307805

A., M., S., P., Sangineto, E., & G., S. (2002). Two Different Approaches to Natural Indoor Landmark Recognition for Robot Navigation. AIIA NOTIZIE. https://iris.unimore.it/handle/11380/1264527

Cucchiara, R., Grana, C., & A., P. (2002). Semantic Transcoding for Live Video Server. International Conference of Multimedia Juan les Pins, fra. https://doi.org/10.1145/641043.641050

C., C., A., M., & Sangineto, E. (2002). Annotazione Automatica di Tennis Video. Ottavo Convegno dell'Associazione Italiana per l'Intelligenza (AI*IA-02) na. https://iris.unimore.it/handle/11380/1264460

N., C., M., G., A., M., & Sangineto, E. (2002). An Integrated Architecture for Automatic Course Generation. The Proceedings of IEEE International Conference on Advanced Learning Technologies NA. https://iris.unimore.it/handle/11380/1264403

Cucchiara, R., Grana, C., M., P., A., P., & S., S. (2001). Improving shadow suppression in moving object detection with HSV color information. IEEE Intelligent Transportation Systems. https://iris.unimore.it/handle/11380/466413

Cucchiara, R., Grana, C., M., P., & A., P. (2001). Detecting objects, shadows and ghosts in video streams by exploiting color and motion information. International Conference on Image Analysis and Processing (ICIAP). https://doi.org/10.1109/ICIAP.2001.957036

Seidenari, S., Pellacani, G., A., M., & Grana, C. (2001). Automatic digital image analysis of pigmented skin lesion: development of a new program for geometric feature description. MELANOMA RESEARCH. https://iris.unimore.it/handle/11380/591920

Cucchiara, R., Grana, C., G., N., M., P., & Prati, A. (2001). The Sakbot system for moving object detection and tracking. European Workshop on Advanced Video-Based Surveillance Systems Kingston upon. https://iris.unimore.it/handle/11380/591916

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