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
|Sep 8, 2023||We organize the 2nd Weakly Supervised Computer Vision workshop at the 2023 Deep Learning Indaba in Accra, Ghana.|
|Jul 15, 2023||Two papers accepted for ICCV 2023: PØDA and SceneRF.|
|Jun 1, 2023||Excited to welcome Tetiana Martyniuk soon starting a PhD in our astra-vision team|
|May 1, 2023||Welcoming Tấn Khiêm Huỳnh and Souhaiel Ben Salem both joining for 6 month internships .|