Pose estimation

Precise determination of an object's position, orientation, and dimensions in 3D space is vital for autonomous driving.

Selected publications

  1. ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
    Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    pdf
  2. Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
    Lorenzo Vaquero, Yihong Xu, Xavier Alameda-Pineda, Víctor M. Brea, Manuel Mucientes
    European Conference on Computer Vision, 2024
    pdf Code
  3. PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
    Nermin Samet, Cédric Rommel, David Picard, Eduardo Valle
    ECCV Workshop Towards a Complete Analysis of People Fine-grained Understanding for Real-World Applications (T-CAP), 2024
    pdf Code
  4. NOPE: Novel Object Pose Estimation from a Single Image
    Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin, Yinlin Hu, Renaud Marlet, Mathieu Salzmann, Vincent Lepetit
    Computer Vision and Pattern Recognition, 2024
    Project page pdf Code
  5. DiffHPE: Robust, Coherent 3D Human Pose Lifting with Diffusion
    Cédric Rommel, Eduardo Valle, Mickaël Chen, Souhaiel Khalfaoui, Renaud Marlet, Matthieu Cord, Patrick Pérez
    International Conference on Computer Vision (ICCV) Workshop, 2023
    pdf Code
  6. HULC: 3D HUman Motion Capture with Pose Manifold Sampling and Dense Contact Guidance
    Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt
    European Conference on Computer Vision, 2022
    Project page pdf
  7. PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
    Yang Xiao, Yuming Du, Renaud Marlet
    International Conference on 3D Vision (3DV), 2021oral
    Project page pdf Code