Motion forecasting

Accurately predicting the future motion of road users and objects is crucial for safe and efficient autonomous driving.

Selected publications

  1. 2026

  2. PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
    Yihong Xu, Yuan Yin, Éloi Zablocki, Tuan-Hung Vu, Alexandre Boulch, Matthieu Cord
    ICRA 2026
  3. 2025

  4. Annealed Winner-Takes-All for Motion Forecasting
    Yihong Xu, Victor Letzelter, Mickaël Chen, Éloi Zablocki, Matthieu Cord
    ICRA 2025
  5. 2024

  6. UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction
    Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor, Éloi Zablocki, Matthieu Cord, Alexandre Alahi
    ECCV 2024
  7. Valeo4Cast: A Modular Approach to End-to-End Forecasting
    Yihong Xu, Éloi Zablocki, Alexandre Boulch, Gilles Puy, Mickael Chen, Florent Bartoccioni, Nermin Samet, Oriane Siméoni, Spyros Gidaris, Tuan-Hung Vu, Andrei Bursuc, Eduardo Valle, Renaud Marlet, Matthieu Cord
    ECCV Workshop ROAD++ 2024Winning solution to the "Unified Detection, Tracking and Forecasting" Argoverse 2 challenge @CVPR
  8. 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
  9. 2022

  10. Raising context awareness in motion forecasting
    Hédi Ben-Younes*, Éloi Zablocki*, Mickaël Chen, Patrick Pérez, Matthieu Cord
    CVPR Workshop on Autonomous Driving (WAD) 2022
  11. Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
    Laura Calem, Hedi Ben-Younes, Patrick Pérez, Nicolas Thome
    ICPR 2022