Shaoshuai Shi
Postdoctoral Researcher |
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I am a postdoctoral researcher at Max Planck Institute for Informatics (MPI-INF), working with Prof. Bernt Schiele. I obtained my Ph.D. degree from Multimedia Lab (MMLab) of The Chinese University of Hong Kong (CUHK), supervised by Prof. Xiaogang Wang and Prof. Hongsheng Li. Before that, I received my bachelor’s degree from the Computer Science Honor Class of Harbin Institute Technology (HIT).
My research interests focus on computer vision and deep learning, especially the 3D scene understanding, object detection and autonomous driving / robotics related topics.
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OpenPCDet: An Open-source Toolbox for 3D Object Detection from Point Cloud
OpenPCDet Development Team June 2020 [Code] [Bibtex] |
*: Equal Contribution, †: Corresponding Author
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†
European Conference on Computer Vision (ECCV), 2022.
Ranked 1st place on Waymo 3D object detection leaderboard (June, 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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
International Conference on Computer Vision (ICCV), 2021.
[Code]
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
International Conference on Computer Vision (ICCV), 2021.
ST3D++: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi
Preprint, arXiv:2108.06682.
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
Preprint, arXiv:2102.00463. [Code]
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.
[Code]
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.
[Code]
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li
AAAI Conference on Artificial Intelligence (AAAI), 2021.
[Code]
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
Technical report of top-performing LiDAR-only solutions to Waymo Open Dataset Challenges at Workshop of CVPR 2020.
[Code]
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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Code]
Ranked 1st place on KITTI 3D object detection benchmark (Car, Nov 2019 - Aug 2020).
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[Oral]
[Code]
Ranked 1st place on ScanNet 3D Semantic instance benchmark (Nov-16 2019).
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 Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), accepted.
[Code]
ESI Hot and Highly Cited Paper (top 0.1%).
Ranked 1st place on KITTI 3D object detection benchmark (Car, July-9 2019).
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
International Conference on Robotics and Automation (ICRA), 2020.
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.
[Code-v1] [Code-v2]
The top-10 cited papers among all CVPR-2019 papers (March, 2021), refer to here.
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi, Wanli Ouyang, Xiaogang Wang
International Conference on Learning Representation (ICLR), 2019.
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction
Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia
European Conference on Computer Vision (ECCV), 2018. [Oral]
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
IEEE Field-Programmable Custom Computing Machines (FCCM), 2017.
Postdoc Researcher, Oct 2021 - Now, Max Planck Institute for Informatics, Germany.
Advised by Prof. Bernt Schiele.
Research Intern, Mar 2019 - Feb 2021, Autonomous Driving Group of SenseTime, Shenzhen, China.
Working with Dr. Zhe Wang and Dr. Jianping Shi.