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2020 – today
- 2024
[j8]Shaoshuai Shi
, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3955-3971 (2024)- [c28]Li Jiang, Shaoshuai Shi, Bernt Schiele:
Open-Vocabulary 3D Semantic Segmentation with Foundation Models. CVPR 2024: 21284-21294 - [c27]Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang:
GiT: Towards Generalist Vision Transformer Through Universal Language Interface. ECCV (29) 2024: 55-73 - [i31]Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang:
GiT: Towards Generalist Vision Transformer through Universal Language Interface. CoRR abs/2403.09394 (2024) - [i30]Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan:
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR abs/2403.13331 (2024) - 2023
- [j7]Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. Int. J. Comput. Vis. 131(2): 531-551 (2023) - [j6]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Comprehensive Survey. Int. J. Comput. Vis. 131(8): 1909-1963 (2023) - [j5]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6354-6371 (2023) - [c26]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. CVPR 2023: 1168-1178 - [c25]Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li:
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CVPR 2023: 9296-9305 - [c24]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CVPR 2023: 13520-13529 - [c23]Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, Cheng Wang:
Virtual Sparse Convolution for Multimodal 3D Object Detection. CVPR 2023: 21653-21662 - [c22]Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang:
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. ICCV 2023: 6231-6240 - [c21]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. ICCV 2023: 6769-6779 - [c20]Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li:
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. ICCV 2023: 18481-18490 - [c19]Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai:
Test-time Domain Adaptation for Monocular Depth Estimation. ICRA 2023: 4873-4879 - [c18]Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li:
Sparse Dense Fusion for 3D Object Detection. IROS 2023: 10939-10946 - [i29]Haiyang Wang, Chen Shi, Shaoshuai Shi, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang:
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets. CoRR abs/2301.06051 (2023) - [i28]Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, Cheng Wang:
Virtual Sparse Convolution for Multimodal 3D Object Detection. CoRR abs/2303.02314 (2023) - [i27]Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li:
Sparse Dense Fusion for 3D Object Detection. CoRR abs/2304.04179 (2023) - [i26]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding. CoRR abs/2305.05026 (2023) - [i25]Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li:
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. CoRR abs/2306.05888 (2023) - [i24]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR abs/2306.17770 (2023) - [i23]Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang:
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. CoRR abs/2308.07732 (2023) - 2022
- [c17]Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CVPR 2022: 1100-1109 - [c16]Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li:
MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. ECCV (8) 2022: 680-697 - [c15]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS 2022 - [c14]Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang:
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. NeurIPS 2022 - [c13]Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi:
Towards Efficient 3D Object Detection with Knowledge Distillation. NeurIPS 2022 - [i22]Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang:
RBGNet: Ray-based Grouping for 3D Object Detection. CoRR abs/2204.02251 (2022) - [i21]Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li:
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection. CoRR abs/2205.05979 (2022) - [i20]Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi:
Towards Efficient 3D Object Detection with Knowledge Distillation. CoRR abs/2205.15156 (2022) - [i19]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR abs/2206.09474 (2022) - [i18]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR abs/2209.10033 (2022) - [i17]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR abs/2209.13508 (2022) - [i16]Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang:
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds. CoRR abs/2210.04264 (2022) - [i15]Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li:
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CoRR abs/2212.07289 (2022) - 2021
- [j4]Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2647-2664 (2021) - [c12]Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li:
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. AAAI 2021: 1201-1209 - [c11]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. CVPR 2021: 8963-8972 - [c10]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. CVPR 2021: 10368-10378 - [c9]Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. ICCV 2021: 3133-3143 - [c8]Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia:
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. ICCV 2021: 6403-6412 - [i14]Shaoshuai Shi, Li Jiang, Jiajun Deng, Zhe Wang, Chaoxu Guo, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. CoRR abs/2102.00463 (2021) - [i13]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR abs/2103.05346 (2021) - [i12]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. CoRR abs/2104.06114 (2021) - [i11]Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi:
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR abs/2108.06682 (2021) - [i10]Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. CoRR abs/2108.08258 (2021) - [i9]Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia:
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. CoRR abs/2110.08188 (2021) - 2020
- [j3]Jing Wang, Shucai Li, Liping Li, Shaoshuai Shi, Zongqing Zhou, Shuguang Song:
Mechanism of water inrush in fractures and block collapse under hydraulic pressure. Math. Comput. Simul. 177: 625-642 (2020) - [c7]Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CVPR 2020: 4866-4875 - [c6]Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. CVPR 2020: 10526-10535 - [c5]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. ICRA 2020: 2274-2280 - [i8]Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang:
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud. CoRR abs/2002.05316 (2020) - [i7]Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CoRR abs/2004.01658 (2020) - [i6]Shaoshuai Shi, Chaoxu Guo, Jihan Yang, Hongsheng Li:
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges. CoRR abs/2008.12599 (2020) - [i5]Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li:
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. CoRR abs/2012.15712 (2020)
2010 – 2019
- 2019
- [j2]Shucai Li, Jing Wang, Liping Li, Shaoshuai Shi, Zongqing Zhou:
The theoretical and numerical analysis of water inrush through filling structures. Math. Comput. Simul. 162: 115-134 (2019) - [c4]Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. CVPR 2019: 770-779 - [c3]Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang:
Feature Intertwiner for Object Detection. ICLR (Poster) 2019 - [i4]Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang:
Feature Intertwiner for Object Detection. CoRR abs/1903.11851 (2019) - [i3]Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li:
Part-A2 Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. CoRR abs/1907.03670 (2019) - [i2]Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li:
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. CoRR abs/1912.13192 (2019) - 2018
- [j1]Ziming Xiong, Qinghua Zhang, Hao Lu, Shaoshuai Shi, Zewei You, Yuanpu Xia, Lin Bu:
Evaluation and identification of dynamic strain on a blast door subjected to blast loading using fibre Bragg grating sensors. Int. J. Distributed Sens. Networks 14(3) (2018) - [c2]Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia:
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. ECCV (8) 2018: 820-834 - [i1]Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud. CoRR abs/1812.04244 (2018) - 2017
- [c1]Yijin Guan, Hao Liang, Ningyi Xu, Wenqiang Wang, Shaoshuai Shi, Xi Chen, Guangyu Sun, Wei Zhang, Jason Cong:
FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates. FCCM 2017: 152-159
Coauthor Index
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