Loick Chambon
Affiliations Valeo.ai, Sorbonne University.
I am a Computer Vision PhD student at Sorbonne University and Valeo.ai, supervised by Matthieu Cord, Alexandre Boulch, and Eloi Zablocki.
My research focuses on feature upsampling and autonomous driving perception, with a particular interest in high-resolution visual representations, scalable 3D scene understanding, and efficient perception models for real-world applications.
💼 Open to job opportunities — feel free to reach out via email or social links below.
News
| Nov 23, 2025 | Preprint and code for NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering now available. |
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| Sep 13, 2025 | JAFAR: Jack up Any Feature at Any Resolution is accepted at NeurIPS 2025. |
| Sep 8, 2025 | VaViM and VaVAM: Autonomous Driving through Video Generative Modeling has been accepted to CoRL 2025 Workshop LSRW. |
| Jul 7, 2025 | GaussRender: Learning 3D Occupancy with Gaussian Rendering accepted paper at ICCV 2025. |
| Jun 17, 2024 | PointBeV: A Sparse Approach to BeV Predictions accepted paper at CVPR 2024. |
| May 13, 2024 | Towards motion forecasting with real-world perception inputs accepted paper at ICRA 2024. |
| Mar 8, 2023 | PhD student at Sorbonne University and Valeo.ai. |