Shaoshuai Shi

According to our database, Shaoshuai Shi authored at least 42 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., May, 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

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Open-Vocabulary 3D Semantic Segmentation with Foundation Models.

Li Jiang, Shaoshuai Shi, Bernt Schiele

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

3D Object Detection for Autonomous Driving: A Comprehensive Survey.

Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

Int. J. Comput. Vis., August, 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., May, 2023

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

Sparse Dense Fusion for 3D Object Detection.

Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li

CoRR, 2023

Sparse Dense Fusion for 3D Object Detection.

Yulu Gao, Chonghao Sima, Shaoshuai Shi, Shangzhe Di, Si Liu, Hongyang Li

IROS, 2023

Test-time Domain Adaptation for Monocular Depth Estimation.

Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai

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.

Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang

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.

Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.

Benjin Zhu, Zhe Wang, Shaoshuai Shi, Hang Xu, Lanqing Hong, Hongsheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Virtual Sparse Convolution for Multimodal 3D Object Detection.

Hai Wu, Chenglu Wen, Shaoshuai Shi, Xin Li, Cheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

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.

Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele

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.

Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele

CoRR, 2022

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

Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

CoRR, 2022

Towards Efficient 3D Object Detection with Knowledge Distillation.

Jihan Yang, Shaoshuai Shi, Runyu Ding, Zhe Wang, Xiaojuan Qi

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.

Haiyang Wang, Lihe Ding, Shaocong Dong, Shaoshuai Shi, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang

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.

Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele

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.

Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li

Proceedings of the Computer Vision - ECCV 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

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.

Shaoshuai Shi, Zhe Wang, Jianping Shi, Xiaogang Wang, Hongsheng Li

IEEE Trans. Pattern Anal. Mach. Intell., 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector.

Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi

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.

Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection.

Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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

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

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation.

Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia

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.

Shucai Li, Jing Wang, Liping Li, Shaoshuai Shi, Zongqing Zhou

Math. Comput. Simul., 2019

Part-A² Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud.

Shaoshuai Shi, Zhe Wang, Xiaogang Wang, Hongsheng Li

CoRR, 2019

Feature Intertwiner for Object Detection.

Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang

Proceedings of the 7th International Conference on Learning Representations, 2019

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud.

Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

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.

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

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.

Yijin Guan, Hao Liang, Ningyi Xu, Wenqiang Wang, Shaoshuai Shi, Xi Chen, Guangyu Sun, Wei Zhang, Jason Cong

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017