The Deep Visual Learning (DVL) Lab at Fondazione Bruno Kessler conducts research in the areas of deep learning and computer vision. Our work focuses on developing novel methodologies for learning models to automatically analyze images and videos. We are especially interested in developing deep models which successfully adapt and continually learn from real-world visual data. Recent projects include object recognition and detection, pixel-level prediction tasks (e.g. depth estimation from monocular input, semantic segmentation) and human behaviour analysis and synthesis.
The group is part of the Digital Society center.
3 Papers Accepted in CVPR 2022!
Mar 14, 2022 | News
Best thesis Prize awarded to Nicola
Dec 21, 2021 | News
Honorable Mention ICCV 2021!
Dec 21, 2021 | News
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