Raoul De Charette is a computer vision researcher with eight years of experience at Inria, specializing in algorithms that extract rich information from images and point clouds for applications like autonomous vehicles, VR, and interactive systems. His work spans challenging problems such as adverse weather removal, domain adaptation, sparse data completion, deep reinforcement learning, and 3D reconstruction, with a strong track record of leading research teams and supervising students. He combines a PhD in AI from MINES ParisTech with practical interdisciplinary training in animation and multimedia, which informs his attention to perceptual and interactive aspects of vision systems. Raoul also engages in teaching, public outreach, and entrepreneurship through the startup Design Your Cube, reflecting a commitment to translating research into real-world impact. An early-career highlight includes award-recognized work on reactive control for imaging in rain and snow during a visiting stint at Carnegie Mellon, signaling both experimental rigor and practical problem-solving.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Animation, Interactive Technology, Video Graphics and Special Effects, Master's degree, Animation, Interactive Technology, Video Graphics and Special Effects at Université Paris 8
Intermedia/Multimedia, Intermedia/Multimedia at GOBELINS, l'école de l'image
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at MINES ParisTech
LMSCNet: Lightweight Multiscale 3D Semantic Completion. Roldão, L., de Charette, R., & Verroust-Blondet, A. International Conference on 3D Vision (3DV). 2020
Contributions:4 commits, 1 PR, 1 push in 1 year 7 months
Contributions:9 commits, 5 pushes, 58 comments in 1 year 1 month
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