Shaoshuai Shi
Shaoshuai Shi
Verified email at ee.cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
PointRCNN: 3d object proposal generation and detection from point cloud
S Shi, X Wang, H Li
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 …, 2019
6622019
PV-RCNN: Point-voxel feature set abstraction for 3d object detection
S Shi, C Guo, L Jiang, Z Wang, J Shi, X Wang, H Li
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 …, 2020
2552020
FP-DNN: An automated framework for mapping deep neural networks onto FPGAs with RTL-HLS hybrid templates
Y Guan, H Liang, N Xu, W Wang, S Shi, X Chen, G Sun, W Zhang, J Cong
2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017
2132017
From points to parts: 3d object detection from point cloud with part-aware and part-aggregation network
S Shi, Z Wang, J Shi, X Wang, H Li
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020, 2020
188*2020
Gal: Geometric adversarial loss for single-view 3d-object reconstruction
L Jiang, S Shi, X Qi, J Jia
Proceedings of the European conference on computer vision (ECCV), 802-816, 2018
742018
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
L Jiang, H Zhao, S Shi, S Liu, CW Fu, J Jia
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 …, 2020
722020
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
J Deng, S Shi, P Li, W Zhou, Y Zhang, H Li
AAAI 2021, 2020
172020
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
H Yi, S Shi, M Ding, J Sun, K Xu, H Zhou, Z Wang, S Li, G Wang
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, 2020
142020
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
S Shi, L Jiang, J Deng, Z Wang, C Guo, J Shi, X Wang, H Li
arXiv preprint arXiv:2102.00463, 2021
112021
OpenPCDet: An open-source toolbox for 3d object detection from point clouds
OD Team
https://github.com/open-mmlab/OpenPCDet, 2020
92020
Feature Intertwiner for Object Detection
H Li, B Dai, S Shi, W Ouyang, X Wang
International Conference on Learning Representation (ICLR), 2019, 2019
72019
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
J Yang*, S Shi*, Z Wang, H Li, X Qi
CVPR 2021, 2021
62021
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
B Cheng, L Sheng, S Shi, M Yang, D Xu
CVPR 2021, 2021
42021
PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection/3D Tracking/Domain Adaptation of Waymo Open Dataset Challenges
S Shi, C Guo, J Yang, H Li
Technical report for Waymo Open Dataset Challenges at Workshop of CVPR 2020 …, 2020
22020
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
J Yang, S Shi, Z Wang, H Li, X Qi
arXiv preprint arXiv:2108.06682, 2021
2021
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation
L Jiang, S Shi, Z Tian, X Lai, S Liu, CW Fu, J Jia
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
X Guo, S Shi, X Wang, H Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
Supplementary Material for ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
J Yang, S Shi, Z Wang, H Li, X Qi
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Articles 1–18