| CARVIEW |
Computer vision and machine learning have great potential to endow machines/robots with the (visual) perception of the environment and the intelligence to reason about it, and take decisions. The field has thrived in the past three decades, and it stands now as one of the key technological ingredients for autonomous driving, unmanned drones, and human-robot-collaboration, as well as the pervasive novel asset for other fields of science, including earthquake and weather forecasting.
Our lab is interested in fundamental research and innovation transfer on computer vision and machine learning. Our specific research interests include distributed and multi-agent intelligent systems, perception (detection, recognition, re-identification, forecasting), and general intelligence (reasoning, meta-learning, domain adaptation), within sustainable (low-power-consumption and constrained-computational-resource sensors and devices) and interpretable (interpretable and verifiable AI) frameworks.
RECENT PUBLICATIONS
[All Publications]- Luca Scofano, Alessio Sampieri, Edoardo De Matteis, Indro Spinelli, and Fabio GalassoSocial EgoMesh EstimationIn Winter Conference on Applications of Computer Vision (WACV), 2025
- Avik Pal, Max Spengler, Guido Maria D’Amely Melendugno, Alessandro Flaborea, Fabio Galasso, and Pascal MettesCompositional Entailment Learning for Hyperbolic Vision-Language ModelsIn International Conference on Learning Representation (ICLR), 2025
- Luca Scofano, Alessio Sampieri, Tommaso Campari, Valentino Sacco, Indro Spinelli, Lamberto Ballan, and Fabio GalassoFollowing the Human Thread in Social NavigationIn International Conference on Learning Representation (ICLR), 2025
- Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, and Fabio GalassoVideo Unlearning via Low-Rank Refusal Vector2025
- L Plini, G Tinti, T Spadaro, and F GalassoGraph Neural Networks for particle tracking in NA62 ExperimentNuovo Cimento C, vol. 48, pp. 149, 2025