Publications

Explore our research publications: papers, articles, and conference proceedings from AImageLab.

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Active filters (Clear): Search: "#self-supervised-learning" ✕ Keywords: self-supervised-learning ✕

Monocular per-object distance estimation with Masked Object Modeling

Authors: Panariello, Aniello; Mancusi, Gianluca; Haj Ali, Fedy; Porrello, Angelo; Calderara, Simone; Cucchiara, Rita

Published in: COMPUTER VISION AND IMAGE UNDERSTANDING

2025 Articolo su rivista

DOI IRIS

Consistency-Based Self-supervised Learning for Temporal Anomaly Localization

Authors: Panariello, A.; Porrello, A.; Calderara, S.; Cucchiara, R.

Published in: LECTURE NOTES IN COMPUTER SCIENCE

2023 Relazione in Atti di Convegno

DOI IRIS

Spotting Virus from Satellites: Modeling the Circulation of West Nile Virus Through Graph Neural Networks

Authors: Bonicelli, Lorenzo; Porrello, Angelo; Vincenzi, Stefano; Ippoliti, Carla; Iapaolo, Federica; Conte, Annamaria; Calderara, Simone

Published in: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

2023 Articolo su rivista

DOI IRIS

Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations

Authors: Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, Elisa

Published in: BMC BIOINFORMATICS

Computer-aided analysis of biological images typically requires extensive training on large-scale annotated datasets, which is not viable in many situations. … (Read full abstract)

Computer-aided analysis of biological images typically requires extensive training on large-scale annotated datasets, which is not viable in many situations. In this paper, we present Generative Adversarial Network Discriminator Learner (GAN-DL), a novel self-supervised learning paradigm based on the StyleGAN2 architecture, which we employ for self-supervised image representation learning in the case of fluorescent biological images.

2022 Articolo su rivista

DOI IRIS