PointRCNN: 3d object proposal generation and detection from point cloud S Shi, X Wang, H Li IEEE CVPR, 2019 | 2533* | 2019 |
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 IEEE CVPR, 2020 | 1768 | 2020 |
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 TPAMI, 2020 | 933* | 2020 |
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 | 692 | 2020 |
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation L Jiang, H Zhao, S Shi, S Liu, CW Fu, J Jia IEEE CVPR (Oral), 2020 | 400 | 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 FCCM, 2017 | 377 | 2017 |
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 International Journal of Computer Vision (IJCV), 2021 | 320 | 2021 |
OpenPCDet: An open-source toolbox for 3d object detection from point clouds OD Team https://github.com/open-mmlab/OpenPCDet, 2020 | 188 | 2020 |
ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection J Yang*, S Shi*, Z Wang, H Li, X Qi IEEE CVPR, 2021 | 169 | 2021 |
3D Object Detection for Autonomous Driving: A Comprehensive Survey J Mao, S Shi, X Wang, H Li International Journal of Computer Vision (IJCV), 2023 | 154* | 2023 |
Gal: Geometric adversarial loss for single-view 3d-object reconstruction L Jiang, S Shi, X Qi, J Jia ECCV (Oral), 2018 | 130 | 2018 |
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 IEEE ICCV, 2021 | 116 | 2021 |
Motion Transformer with Global Intention Localization and Local Movement Refinement S Shi, L Jiang, D Dai, B Schiele NeurIPS (Oral), 2022 | 114 | 2022 |
Liga-stereo: Learning lidar geometry aware representations for stereo-based 3d detector X Guo, S Shi, X Wang, H Li IEEE ICCV, 2021 | 103 | 2021 |
Back-tracing representative points for voting-based 3d object detection in point clouds B Cheng, L Sheng, S Shi, M Yang, D Xu IEEE CVPR, 2021 | 93 | 2021 |
Virtual Sparse Convolution for Multimodal 3D Object Detection H Wu, C Wen, S Shi, X Li, C Wang IEEE CVPR, 2023 | 70 | 2023 |
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 ICRA, 2020 | 64 | 2020 |
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds H Wang, L Ding, S Dong, S Shi, A Li, J Li, Z Li, L Wang NeurIPS, 2022 | 62 | 2022 |
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 ECCV, 2022 | 62 | 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 IEEE CVPR, 2022 | 61 | 2022 |