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)

PointBeV: A Sparse Approach to BeV Predictions. - Loïck Chambon; Éloi Zablocki; Mickaël Chen; Florent Bartoccioni; Patrick Pérez; Matthieu Cord (CVPR, 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 (ICRA, 2024)

GaussRender: Learning 3D Occupancy with Gaussian Rendering. - Loïck Chambon; Eloi Zablocki; Alexandre Boulch; Mickaël Chen; Matthieu Cord (CoRR, 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; et al. (CoRR, 2025)

JAFAR: Jack up Any Feature at Any Resolution. - Paul Couairon; Loïck Chambon; Louis Serrano; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome (CoRR, 2025)