Shaoshuai Shi (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.
  2. Conference paper
    D2
    “DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  3. Conference paper
    D2
    “Virtual Sparse Convolution for Multimodal 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  4. Conference paper
    D2
    “ConQueR: Query Contrast Voxel-DETR for 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, 2023.
  5. Conference paper
    D2
    “Test-time Domain Adaptation for Monocular Depth Estimation,” in IEEE International Conference on Robotics and Automation (ICRA 2023), London, UK, 2023.
  6. Article
    D2
    “3D Object Detection for Autonomous Driving: A Comprehensive Survey,” International Journal of Computer Vision, 2023.
  7. Conference paper
    D2
    “TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.
  8. Conference paper
    D2
    “UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2023), Paris, France.

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
    “CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  3. Conference paper
    D2
    “Towards Efficient 3D Object Detection with Knowledge Distillation,” in Advances in Neural Information Processing Systems 35 (NeurIPS 2022), New Orleans, LA, USA, 2022.
  4. Conference paper
    D2
    “MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection,” in Computer Vision -- ECCV 2022, Tel Aviv, Israel, 2022.
  5. Conference paper
    D2
    “RBGNet: Ray-based Grouping for 3D Object Detection,” 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.