Li Jiang (Postdoc)

Personal Information

Publications

2023

  1. Conference paper
    D2D6
    “Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.

2022

  1. Conference paper
    D2
    “Motion Transformer with Global Intention Localization and Local Movement Refinement,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  2. Conference paper
    D2
    “DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  3. Conference paper
    D2
    “Stratified Transformer for 3D Point Cloud Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  4. Conference paper
    D2
    “Generalized Few-shot Semantic Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  5. Conference paper
    D2
    “A Unified Query-based Paradigm for Point Cloud Understanding,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, USA, 2022.
  6. Article
    D2
    “PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection,” International Journal of Computer Vision, vol. 131, 2022.
  7. Paper
    D2
    “MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction,” 2022. [Online]. Available: https://arxiv.org/abs/2209.10033.