MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying - Shaoshuai Shi; Li Jiang; Dengxin Dai; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Open-Vocabulary 3D Semantic Segmentation with Foundation Models - Li Jiang; Shaoshuai Shi; Bernt Schiele (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

GiT: Towards Generalist Vision Transformer Through Universal Language Interface - Haiyang Wang; Hao Tang; Li Jiang; Shaoshuai Shi; Muhammad Ferjad Naeem; Hongsheng Li; Bernt Schiele; Liwei Wang (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIX, 2024)

GiT: Towards Generalist Vision Transformer through Universal Language Interface - Haiyang Wang; Hao Tang; Li Jiang; Shaoshuai Shi; Muhammad Ferjad Naeem; Hongsheng Li; Bernt Schiele; Liwei Wang (CoRR, 2024)

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving - Xiaosong Jia; Shaoshuai Shi; Zijun Chen; Li Jiang; Wenlong Liao; Tao He; Junchi Yan (CoRR, 2024)

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection - Shaoshuai Shi; Li Jiang; Jiajun Deng; Zhe Wang; Chaoxu Guo; Jianping Shi; Xiaogang Wang; Hongsheng Li (Int. J. Comput. Vis., 2023)

3D Object Detection for Autonomous Driving: A Comprehensive Survey - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (Int. J. Comput. Vis., 2023)

ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection - Jihan Yang; Shaoshuai Shi; Zhe Wang; Hongsheng Li; Xiaojuan Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding - Li Jiang; Zetong Yang; Shaoshuai Shi; Vladislav Golyanik; Dengxin Dai; Bernt Schiele (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection - Benjin Zhu; Zhe Wang; Shaoshuai Shi; Hang Xu; Lanqing Hong; Hongsheng Li (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets - Haiyang Wang; Chen Shi; Shaoshuai Shi; Meng Lei; Sen Wang; Di He; Bernt Schiele; Liwei Wang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Virtual Sparse Convolution for Multimodal 3D Object Detection - Hai Wu; Chenglu Wen; Shaoshuai Shi; Xin Li; Cheng Wang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations - Qiming Xia; Jinhao Deng; Chenglu Wen; Hai Wu; Shaoshuai Shi; Xin Li; Cheng Wang (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation - Haiyang Wang; Hao Tang; Shaoshuai Shi; Aoxue Li; Zhenguo Li; Bernt Schiele; Liwei Wang (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses - Xuesong Chen; Shaoshuai Shi; Chao Zhang; Benjin Zhu; Qiang Wang; Ka Chun Cheung; Simon See; Hongsheng Li (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Test-time Domain Adaptation for Monocular Depth Estimation - Zhi Li; Shaoshuai Shi; Bernt Schiele; Dengxin Dai (IEEE International Conference on Robotics and Automation, ICRA 2023, London, UK, May 29 - June 2, 2023, 2023)

Sparse Dense Fusion for 3D Object Detection - Yulu Gao; Chonghao Sima; Shaoshuai Shi; Shangzhe Di; Si Liu; Hongyang Li (IROS, 2023)

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets - Haiyang Wang; Chen Shi; Shaoshuai Shi; Meng Lei; Sen Wang; Di He; Bernt Schiele; Liwei Wang (CoRR, 2023)

Virtual Sparse Convolution for Multimodal 3D Object Detection - Hai Wu; Chenglu Wen; Shaoshuai Shi; Xin Li; Cheng Wang (CoRR, 2023)

Sparse Dense Fusion for 3D Object Detection - Yulu Gao; Chonghao Sima; Shaoshuai Shi; Shangzhe Di; Si Liu; Hongyang Li (CoRR, 2023)

Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding - Li Jiang; Zetong Yang; Shaoshuai Shi; Vladislav Golyanik; Dengxin Dai; Bernt Schiele (CoRR, 2023)

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses - Xuesong Chen; Shaoshuai Shi; Chao Zhang; Benjin Zhu; Qiang Wang; Ka Chun Cheung; Simon See; Hongsheng Li (CoRR, 2023)

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying - Shaoshuai Shi; Li Jiang; Dengxin Dai; Bernt Schiele (CoRR, 2023)

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation - Haiyang Wang; Hao Tang; Shaoshuai Shi; Aoxue Li; Zhenguo Li; Bernt Schiele; Liwei Wang (CoRR, 2023)

RBGNet: Ray-based Grouping for 3D Object Detection - Haiyang Wang; Shaoshuai Shi; Ze Yang; Rongyao Fang; Qi Qian; Hongsheng Li; Bernt Schiele; Liwei Wang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection - Xuesong Chen; Shaoshuai Shi; Benjin Zhu; Ka Chun Cheung; Hang Xu; Hongsheng Li (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part VIII, 2022)

Motion Transformer with Global Intention Localization and Local Movement Refinement - Shaoshuai Shi; Li Jiang; Dengxin Dai; Bernt Schiele (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds - Haiyang Wang; Lihe Ding; Shaocong Dong; Shaoshuai Shi; Aoxue Li; Jianan Li; Zhenguo Li; Liwei Wang (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Towards Efficient 3D Object Detection with Knowledge Distillation - Jihan Yang; Shaoshuai Shi; Runyu Ding; Zhe Wang; Xiaojuan Qi (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

RBGNet: Ray-based Grouping for 3D Object Detection - Haiyang Wang; Shaoshuai Shi; Ze Yang; Rongyao Fang; Qi Qian; Hongsheng Li; Bernt Schiele; Liwei Wang (CoRR, 2022)

MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection - Xuesong Chen; Shaoshuai Shi; Benjin Zhu; Ka Chun Cheung; Hang Xu; Hongsheng Li (CoRR, 2022)

Towards Efficient 3D Object Detection with Knowledge Distillation - Jihan Yang; Shaoshuai Shi; Runyu Ding; Zhe Wang; Xiaojuan Qi (CoRR, 2022)

3D Object Detection for Autonomous Driving: A Review and New Outlooks - Jiageng Mao; Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (CoRR, 2022)

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction - Shaoshuai Shi; Li Jiang; Dengxin Dai; Bernt Schiele (CoRR, 2022)

Motion Transformer with Global Intention Localization and Local Movement Refinement - Shaoshuai Shi; Li Jiang; Dengxin Dai; Bernt Schiele (CoRR, 2022)

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds - Haiyang Wang; Lihe Ding; Shaocong Dong; Shaoshuai Shi; Aoxue Li; Jianan Li; Zhenguo Li; Liwei Wang (CoRR, 2022)

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection - Benjin Zhu; Zhe Wang; Shaoshuai Shi; Hang Xu; Lanqing Hong; Hongsheng Li (CoRR, 2022)

From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network - Shaoshuai Shi; Zhe Wang; Jianping Shi; Xiaogang Wang; Hongsheng Li (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection - Jiajun Deng; Shaoshuai Shi; Peiwei Li; Wengang Zhou; Yanyong Zhang; Houqiang Li (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds - Bowen Cheng; Lu Sheng; Shaoshuai Shi; Ming Yang; Dong Xu (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection - Jihan Yang; Shaoshuai Shi; Zhe Wang; Hongsheng Li; Xiaojuan Qi (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector - Xiaoyang Guo; Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation - Li Jiang; Shaoshuai Shi; Zhuotao Tian; Xin Lai; Shu Liu; Chi-Wing Fu; Jiaya Jia (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection - Shaoshuai Shi; Li Jiang; Jiajun Deng; Zhe Wang; Chaoxu Guo; Jianping Shi; Xiaogang Wang; Hongsheng Li (CoRR, 2021)

ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection - Jihan Yang; Shaoshuai Shi; Zhe Wang; Hongsheng Li; Xiaojuan Qi (CoRR, 2021)

Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds - Bowen Cheng; Lu Sheng; Shaoshuai Shi; Ming Yang; Dong Xu (CoRR, 2021)

ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection - Jihan Yang; Shaoshuai Shi; Zhe Wang; Hongsheng Li; Xiaojuan Qi (CoRR, 2021)

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector - Xiaoyang Guo; Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (CoRR, 2021)

Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation - Li Jiang; Shaoshuai Shi; Zhuotao Tian; Xin Lai; Shu Liu; Chi-Wing Fu; Jiaya Jia (CoRR, 2021)

Mechanism of water inrush in fractures and block collapse under hydraulic pressure - Jing Wang; Shucai Li; Liping Li; Shaoshuai Shi; Zongqing Zhou; Shuguang Song (Math. Comput. Simul., 2020)

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation - Li Jiang; Hengshuang Zhao; Shaoshuai Shi; Shu Liu; Chi-Wing Fu; Jiaya Jia (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection - Shaoshuai Shi; Chaoxu Guo; Li Jiang; Zhe Wang; Jianping Shi; Xiaogang Wang; Hongsheng Li (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud - Hongwei Yi; Shaoshuai Shi; Mingyu Ding; Jiankai Sun; Kui Xu; Hui Zhou; Zhe Wang; Sheng Li; Guoping Wang (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud - Hongwei Yi; Shaoshuai Shi; Mingyu Ding; Jiankai Sun; Kui Xu; Hui Zhou; Zhe Wang; Sheng Li; Guoping Wang (CoRR, 2020)

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation - Li Jiang; Hengshuang Zhao; Shaoshuai Shi; Shu Liu; Chi-Wing Fu; Jiaya Jia (CoRR, 2020)

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges - Shaoshuai Shi; Chaoxu Guo; Jihan Yang; Hongsheng Li (CoRR, 2020)

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection - Jiajun Deng; Shaoshuai Shi; Peiwei Li; Wengang Zhou; Yanyong Zhang; Houqiang Li (CoRR, 2020)

The theoretical and numerical analysis of water inrush through filling structures - Shucai Li; Jing Wang; Liping Li; Shaoshuai Shi; Zongqing Zhou (Math. Comput. Simul., 2019)

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud - Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Feature Intertwiner for Object Detection - Hongyang Li; Bo Dai; Shaoshuai Shi; Wanli Ouyang; Xiaogang Wang (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 2019)

Feature Intertwiner for Object Detection - Hongyang Li; Bo Dai; Shaoshuai Shi; Wanli Ouyang; Xiaogang Wang (CoRR, 2019)

Part-A\(^2\) Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud - Shaoshuai Shi; Zhe Wang; Xiaogang Wang; Hongsheng Li (CoRR, 2019)

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection - Shaoshuai Shi; Chaoxu Guo; Li Jiang; Zhe Wang; Jianping Shi; Xiaogang Wang; Hongsheng Li (CoRR, 2019)

Evaluation and identification of dynamic strain on a blast door subjected to blast loading using fibre Bragg grating sensors - Ziming Xiong; Qinghua Zhang; Hao Lu; Shaoshuai Shi; Zewei You; Yuanpu Xia; Lin Bu (Int. J. Distributed Sens. Networks, 2018)

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction - Li Jiang; Shaoshuai Shi; Xiaojuan Qi; Jiaya Jia (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VIII, 2018)

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud - Shaoshuai Shi; Xiaogang Wang; Hongsheng Li (CoRR, 2018)

FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates - Yijin Guan; Hao Liang; Ningyi Xu; Wenqiang Wang; Shaoshuai Shi; Xi Chen; Guangyu Sun; Wei Zhang; Jason Cong (25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2017, Napa, CA, USA, April 30 - May 2, 2017, 2017)