I am a Research Scientist at Valeo.ai, working on 3D perception for autonomous driving.
I completed my PhD in the ASTRA-Vision group at Inria, under the guidance of Raoul de Charette. Prior to this, I earned an MSc in Artificial Intelligence & Advanced Visual Computing from École Polytechnique, an MSc in Data Science from University of Paris-Saclay, and a BSc in Computer Science from University of Science and Technology of Hanoi (USTH).
Email Scholar GithubTL;DR: A scaling-law study of video diffusion models trained from scratch on 5,500 hours of driving, from 1M to 9B parameters, whose 9B model sets a new open-source state of the art on nuScenes.
TL;DR: A generalized urban 3D occupancy model that works on uncalibrated, out-of-domain scenes and predicts metric occupancy from monocular, sequential, or surround-view inputs.
TL;DR: Introduces urban panoptic scene completion with uncertainty awareness, jointly predicting semantic voxels and object instances in 3D.
TL;DR: Self-supervised monocular 3D reconstruction with radiance fields that improves geometry quality and widens reconstructed scene coverage.
TL;DR: Monocular semantic scene completion that lifts 2D image features into 3D and predicts full-scene geometry and semantics beyond the camera field of view.
