Raoul De Charette

Researcher at Inria

France
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Summary

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Senior
🎓
Top School
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.
code8 years of coding experience
job5 years of employment as a software developer
bookMaster'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
bookIntermedia/Multimedia, Intermedia/Multimedia at GOBELINS, l'école de l'image
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at MINES ParisTech
languagesEnglish, French
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Github Skills (44)

information-theory10
self-organizing-map10
reinforcement-learning9
artificial-intelligence9
machine-learning9
incremental-learning9
mayavi9
deep-learning9
3d-reconstruction9
python8
data-science7
latex7
computer-vision7
tex6
semantic6

Programming languages (5)

C++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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astra-vision/LMSCNet

Oct 2020 - Jun 2022

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
reconstructioninternational-conferencevisionmultiscalecomputer-vision
astra-vision/rain-rendering

Sep 2020 - Oct 2021

Contributions:9 commits, 5 pushes, 58 comments in 1 year 1 month
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