We study 2D vision and 3D perception for robust scene understanding. Our research focuses on relaxing the use of abundant data and supervision, stepping towards weak-/un-supervised vision algorithms, while providing models that are more interpretable. We primarily address autonomous driving but our research expands to a variety of indoor and outdoor applications.
Learning with less supervision
Vision in complex conditions
3D scene understanding
|Nov 20, 2022||We opened 1 PhD and several internships More details|
|Oct 15, 2022||First group retreat, with intense brainstorming !|
|Aug 25, 2022||We organised a workshop on Weakly Supervised Computer Vision at Indaba Deep Learning|
|Jul 31, 2022||Astra-vision is created, the group has 5 Inria and 6 Valeo.ai members|