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

Open-Vocabulary 3D Semantic Segmentation with Foundation Models. - Jiang, Li; Shi, Shaoshuai; Schiele, Bernt (2024)

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

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

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

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

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

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

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

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. - Zhu, Benjin; Wang, Zhe; Shi, Shaoshuai; Xu, Hang; Hong, Lanqing; Li, Hongsheng (2023)

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

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

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. - Xia, Qiming; Deng, Jinhao; Wen, Chenglu; Wu, Hai; Shi, Shaoshuai; Li, Xin; Wang, Cheng (2023)

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

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

Test-time Domain Adaptation for Monocular Depth Estimation. - Li, Zhi; Shi, Shaoshuai; Schiele, Bernt; Dai, Dengxin (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. - Deng, Jiajun; Shi, Shaoshuai; Li, Peiwei; Zhou, Wengang; Zhang, Yanyong; Li, Houqiang (2021)

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

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

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

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

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

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

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

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

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

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

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

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

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. - Shi, Shaoshuai; Guo, Chaoxu; Jiang, Li; Wang, Zhe; Shi, Jianping; Wang, Xiaogang; Li, Hongsheng (2020)

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

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

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

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

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

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

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. - Shi, Shaoshuai; Wang, Xiaogang; Li, Hongsheng (2019)

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

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

Part-A2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. - Shi, Shaoshuai; Wang, Zhe; Wang, Xiaogang; Li, Hongsheng (CoRR, 2019)

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

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

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. - Jiang, Li; Shi, Shaoshuai; Qi, Xiaojuan; Jia, Jiaya (2018)

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

FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates. - Guan, Yijin; Liang, Hao; Xu, Ningyi; Wang, Wenqiang; Shi, Shaoshuai; Chen, Xi; Sun, Guangyu; Zhang, Wei; Cong, Jason (2017)