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Perception and Intelligence Laboratory (PINlab)

Department of Computer Science

Sapienza University of Rome, Italy

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]
  1. Luca Scofano,  Alessio Sampieri,  Edoardo De Matteis,  Indro Spinelli,  and Fabio Galasso
    Social EgoMesh Estimation
    In Winter Conference on Applications of Computer Vision (WACV), 2025
  2. Avik Pal,  Max Spengler,  Guido Maria D’Amely Melendugno,  Alessandro Flaborea,  Fabio Galasso,  and Pascal Mettes
    Compositional Entailment Learning for Hyperbolic Vision-Language Models
    In International Conference on Learning Representation (ICLR), 2025
  3. Luca Scofano,  Alessio Sampieri,  Tommaso Campari,  Valentino Sacco,  Indro Spinelli,  Lamberto Ballan,  and Fabio Galasso
    Following the Human Thread in Social Navigation
    In International Conference on Learning Representation (ICLR), 2025
  4. Edoardo De Matteis,  Matteo Migliarini,  Alessio Sampieri,  Indro Spinelli,  and Fabio Galasso
    Human Motion Unlearning
    2025
  5. Paolo Mandica,  Luca Franco,  Konstantinos Kallidromitis,  Suzanne Petryk,  and Fabio Galasso
    Hyperbolic Learning with Multimodal Large Language Models
    In European Conference on Computer Vision (ECCV) workshops, 2024