Shaoshuai Shi

Orcid: 0000-0003-2558-181X

According to our database1, Shaoshuai Shi authored at least 39 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2023
3D Object Detection for Autonomous Driving: A Comprehensive Survey.
Int. J. Comput. Vis., August, 2023

ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.
Int. J. Comput. Vis., 2023

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying.
CoRR, 2023

Sparse Dense Fusion for 3D Object Detection.
CoRR, 2023

Sparse Dense Fusion for 3D Object Detection.
IROS, 2023

Test-time Domain Adaptation for Monocular Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Virtual Sparse Convolution for Multimodal 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction.
CoRR, 2022

3D Object Detection for Autonomous Driving: A Review and New Outlooks.
CoRR, 2022

Towards Efficient 3D Object Detection with Knowledge Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Motion Transformer with Global Intention Localization and Local Movement Refinement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

RBGNet: Ray-based Grouping for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Mechanism of water inrush in fractures and block collapse under hydraulic pressure.
Math. Comput. Simul., 2020

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges.
CoRR, 2020

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The theoretical and numerical analysis of water inrush through filling structures.
Math. Comput. Simul., 2019

Part-A<sup>2</sup> Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud.
CoRR, 2019

Feature Intertwiner for Object Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Evaluation and identification of dynamic strain on a blast door subjected to blast loading using fibre Bragg grating sensors.
Int. J. Distributed Sens. Networks, 2018

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017


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