Loïck Chambon

According to our database, Loïck Chambon authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Efficient Representations for Autonomous Driving. (Améliorations des représentations pour la conduite autonome).

Loïck Chambon

PhD thesis, 2026

2025

NAF: Zero-Shot Feature Upsampling via Neighborhood Attention Filtering.

Loïck Chambon, Paul Couairon, Eloi Zablocki, Alexandre Boulch, Nicolas Thome, Matthieu Cord

CoRR, November, 2025

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling.

Florent Bartoccioni, Elias Ramzi, Victor Besnier, Shashanka Venkataramanan, Tuan-Hung Vu, Yihong Xu, Loïck Chambon, Spyros Gidaris, Serkan Odabas, David Hurych, Renaud Marlet, Alexandre Boulch, Mickaël Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord

CoRR, February, 2025

JAFAR: Jack up Any Feature at Any Resolution.

Paul Couairon, Loïck Chambon, Louis Serrano, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

GaussRender: Learning 3D Occupancy with Gaussian Rendering.

Loïck Chambon, Eloi Zablocki, Alexandre Boulch, Mickaël Chen, Matthieu Cord

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?

Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Pérez

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PointBeV: A Sparse Approach to BeV Predictions.

Loïck Chambon, Éloi Zablocki, Mickaël Chen, Florent Bartoccioni, Patrick Pérez, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Challenges of Using Real-World Sensory Inputs for Motion Forecasting in Autonomous Driving.

Yihong Xu, Loïck Chambon, Éloi Zablocki, Mickaël Chen, Matthieu Cord, Patrick Pérez

CoRR, 2023