| Monocular relative depth perception with web stereo data supervision K Xian, C Shen, Z Cao, H Lu, Y Xiao, R Li, Z Luo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 205 | 2018 |
| Deep attention-based classification network for robust depth prediction R Li, K Xian, C Shen, Z Cao, H Lu, L Hang Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 115 | 2019 |
| Hcrf-flow: Scene flow from point clouds with continuous high-order crfs and position-aware flow embedding R Li, G Lin, T He, F Liu, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 50 | 2021 |
| Self-point-flow: Self-supervised scene flow estimation from point clouds with optimal transport and random walk R Li, G Lin, L Xie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 47 | 2021 |
| Rigidflow: Self-supervised scene flow learning on point clouds by local rigidity prior R Li, C Zhang, G Lin, Z Wang, C Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 41 | 2022 |
| Meta navigator: Search for a good adaptation policy for few-shot learning C Zhang, H Ding, G Lin, R Li, C Wang, C Shen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 36 | 2021 |
| Weakly supervised segmentation on outdoor 4D point clouds with temporal matching and spatial graph propagation H Shi, J Wei, R Li, F Liu, G Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 25 | 2022 |
| Efficient few-shot object detection via knowledge inheritance Z Yang, C Zhang, R Li, Y Xu, G Lin IEEE Transactions on Image Processing 32, 321-334, 2022 | 24 | 2022 |
| 3d pose transfer with correspondence learning and mesh refinement C Song, J Wei, R Li, F Liu, G Lin Advances in Neural Information Processing Systems 34, 3108-3120, 2021 | 20 | 2021 |
| Unsupervised 3d pose transfer with cross consistency and dual reconstruction C Song, J Wei, R Li, F Liu, G Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 10 | 2023 |
| 3D reconstruction from non-uniform point clouds via local hierarchical clustering J Yang, R Li, Y Xiao, Z Cao Ninth International Conference on Digital Image Processing (ICDIP 2017 …, 2017 | 10 | 2017 |
| Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving R Li, H Shi, Z Fu, Z Wang, G Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Label-guided knowledge distillation for continual semantic segmentation on 2d images and 3d point clouds Z Yang, R Li, E Ling, C Zhang, Y Wang, D Huang, KT Ma, M Hur, G Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation S Dong, R Li, J Wei, F Liu, G Lin arXiv preprint arXiv:2208.05110, 2022 | 2 | 2022 |
| Depth image super-resolution via semi self-taught learning framework F Zhao, Z Cao, Y Xiao, X Zhang, K Xian, R Li Videometrics, range imaging, and applications XIV 10332, 216-226, 2017 | 2 | 2017 |
| Collaborative propagation on multiple instance graphs for 3d instance segmentation with single-point supervision S Dong, R Li, J Wei, F Liu, G Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Motion estimation and prediction from 3D point clouds R Li Nanyang Technological University, 2024 | | 2024 |
| Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior R Li, C Zhang, Z Wang, C Shen, G Lin arXiv preprint arXiv:2310.11284, 2023 | | 2023 |
| Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences H Shi, R Li, F Liu, G Lin IEEE Transactions on Circuits and Systems for Video Technology, 2023 | | 2023 |
| A novel sparse-to-dense depth map generation framework for monocular videos R Zhang, Z Cao, Q Zhang, Y Xiao, R Li Automated Visual Inspection and Machine Vision II 10334, 133-140, 2017 | | 2017 |
