AImageLab publications export - 11 publications; author=apanariello

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

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

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

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

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

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

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

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

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

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

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