| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 983 | 2020 |
| Point transformer H Zhao, L Jiang, J Jia, PHS Torr, V Koltun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 714 | 2021 |
| PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing H Zhao*, L Jiang*, CW Fu, J Jia Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 494 | 2019 |
| PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation L Jiang, H Zhao, S Shi, S Liu, CW Fu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 204 | 2020 |
| SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud W Zheng, W Tang, L Jiang, CW Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 177 | 2021 |
| Cia-ssd: Confident iou-aware single-stage object detector from point cloud W Zheng, W Tang, S Chen, L Jiang, CW Fu Proceedings of the AAAI conference on artificial intelligence 35 (4), 3555-3562, 2021 | 156 | 2021 |
| Hierarchical point-edge interaction network for point cloud semantic segmentation L Jiang, H Zhao, S Liu, X Shen, CW Fu, J Jia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 146 | 2019 |
| Amodal instance segmentation with kins dataset L Qi, L Jiang, S Liu, X Shen, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 113 | 2019 |
| 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 131 (2), 531-551, 2023 | 112 | 2023 |
| 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 | 100 | 2018 |
| Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency X Lai, Z Tian, L Jiang, S Liu, H Zhao, L Wang, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 79 | 2021 |
| Bidirectional Projection Network for Cross Dimension Scene Understanding W Hu, H Zhao, L Jiang, J Jia, TT Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 60 | 2021 |
| Stratified Transformer for 3D Point Cloud Segmentation X Lai, J Liu, L Jiang, L Wang, H Zhao, S Liu, X Qi, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 51 | 2022 |
| 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 | 45 | 2021 |
| Generalized few-shot semantic segmentation Z Tian, X Lai, L Jiang, S Liu, M Shu, H Zhao, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling X Wu, Y Lao, L Jiang, X Liu, H Zhao arXiv preprint arXiv:2210.05666, 2022 | 10 | 2022 |
| A unified query-based paradigm for point cloud understanding Z Yang, L Jiang, Y Sun, B Schiele, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Boosting 3D Object Detection by Simulating Multimodality on Point Clouds W Zheng, M Hong, L Jiang, CW Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| Point Transformer. arXiv 2020 H Zhao, L Jiang, J Jia, P Torr, V Koltun arXiv preprint arXiv:2012.09164, 0 | 8 | |
| Motion Transformer with Global Intention Localization and Local Movement Refinement S Shi, L Jiang, D Dai, B Schiele arXiv preprint arXiv:2209.13508, 2022 | 6 | 2022 |
Jiaya JiaProfessor, CUHK在 cse.cuhk.edu.hk 的电子邮件经过验证
