Shaoshuai Shi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 65

Top Topics

Object Detection

Domain Adaptation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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 (2024)
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) (2024)
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 (2024)
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CVPR (2023)
Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai
Test-time Domain Adaptation for Monocular Depth Estimation. ICRA (2023)
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)
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 (2023)
Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li
Sparse Dense Fusion for 3D Object Detection. CoRR (2023)
Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, Cheng Wang
Virtual Sparse Convolution for Multimodal 3D Object Detection. CVPR (2023)
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
3D Object Detection for Autonomous Driving: A Comprehensive Survey. Int. J. Comput. Vis. 131 (8) (2023)
Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, Cheng Wang
Virtual Sparse Convolution for Multimodal 3D Object Detection. CoRR (2023)
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 (2023)
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) (2023)
Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li
Sparse Dense Fusion for 3D Object Detection. IROS (2023)
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)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR (2023)
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 (2023)
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 (2023)
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)
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)
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)
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) (2023)
Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
Towards Efficient 3D Object Detection with Knowledge Distillation. CoRR (2022)
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 (2022)
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)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS (2022)
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)
Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection. CoRR (2022)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR (2022)
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)
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 (2022)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR (2022)
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 (2022)
Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi
Towards Efficient 3D Object Detection with Knowledge Distillation. NeurIPS (2022)
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR (2022)
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) (2021)
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR (2021)
Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. CoRR (2021)
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. ICCV (2021)
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 (2021)
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)
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. CoRR (2021)
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)
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 (2021)
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection. CoRR (2021)
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. CVPR (2021)
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)
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 (2020)
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CVPR (2020)
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. CoRR (2020)
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 (2020)
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)
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 (2020)
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. CoRR (2020)
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)
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 (2019)
Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li
Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud. CoRR (2019)
Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud. CVPR (2019)
Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang
Feature Intertwiner for Object Detection. CoRR (2019)
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 (2019)
Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang
Feature Intertwiner for Object Detection. ICLR (Poster) (2019)
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)
Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud. CoRR (2018)
Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction. ECCV (8) (2018)
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)