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Shaoshuai Shi
Shaoshuai Shi
在 mpi-inf.mpg.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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), 770-779, 2019
9652019
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), 10529 …, 2020
4812020
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
318*2020
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
IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017
2602017
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), 4867-4876, 2020
1122020
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
872018
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
J Deng, S Shi, P Li, W Zhou, Y Zhang, H Li
AAAI Conference on Artificial Intelligence (AAAI), 2020
632020
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
342021
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
IEEE International Conference on Robotics and Automation (ICRA), 2020, 2020
272020
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
J Yang*, S Shi*, Z Wang, H Li, X Qi
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 10368 …, 2021
212021
OpenPCDet: An open-source toolbox for 3d object detection from point clouds
OD Team
https://github.com/open-mmlab/OpenPCDet, 2020
192020
Back-tracing representative points for voting-based 3d object detection in point clouds
B Cheng, L Sheng, S Shi, M Yang, D Xu
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8963-8972, 2021
142021
Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector
X Guo, S Shi, X Wang, H Li
International Conference on Computer Vision (ICCV), 3153-3163, 2021
122021
Feature Intertwiner for Object Detection
H Li, B Dai, S Shi, W Ouyang, X Wang
International Conference on Learning Representation (ICLR), 2019, 2019
112019
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
International Conference on Computer Vision (ICCV), 6423-6432, 2021
62021
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
52020
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
32021
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection
X Chen, S Shi, B Zhu, KC Cheung, H Xu, H Li
arXiv preprint arXiv:2205.05979, 2022
2022
RBGNet: Ray-based Grouping for 3D Object Detection
H Wang, S Shi, Z Yang, R Fang, Q Qian, H Li, B Schiele, L Wang
CVPR 2022, 2022
2022
Supplementary Materials of LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector
X Guo, S Shi, X Wang, H Li
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