| Robust 3D Hand Pose Estimation in Single Depth Images: from Single-View CNN to Multi-View CNNs L Ge, H Liang, J Yuan, D Thalmann The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3593-3601, 2016 | 229 | 2016 |
| 3d convolutional neural networks for efficient and robust hand pose estimation from single depth images L Ge, H Liang, J Yuan, D Thalmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 181 | 2017 |
| Depth-based 3d hand pose estimation: From current achievements to future goals S Yuan, G Garcia-Hernando, B Stenger, G Moon, JY Chang, KM Lee, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 146 | 2018 |
| Weakly-supervised 3d hand pose estimation from monocular rgb images Y Cai, L Ge, J Cai, J Yuan Proceedings of the European Conference on Computer Vision (ECCV), 666-682, 2018 | 129 | 2018 |
| 3d hand shape and pose estimation from a single rgb image L Ge, Z Ren, Y Li, Z Xue, Y Wang, J Cai, J Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 125 | 2019 |
| Hand pointnet: 3d hand pose estimation using point sets L Ge, Y Cai, J Weng, J Yuan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 123 | 2018 |
| Point-to-point regression pointnet for 3d hand pose estimation L Ge, Z Ren, J Yuan Proceedings of the European Conference on Computer Vision (ECCV), 475-491, 2018 | 66 | 2018 |
| Exploiting spatial-temporal relationships for 3d pose estimation via graph convolutional networks Y Cai, L Ge, J Liu, J Cai, TJ Cham, J Yuan, NM Thalmann Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 60 | 2019 |
| Real-time 3D hand pose estimation with 3D convolutional neural networks L Ge, H Liang, J Yuan, D Thalmann IEEE transactions on pattern analysis and machine intelligence 41 (4), 956-970, 2018 | 40 | 2018 |
| Robust 3D hand pose estimation from single depth images using multi-view CNNs L Ge, H Liang, J Yuan, D Thalmann IEEE Transactions on Image Processing 27 (9), 4422-4436, 2018 | 29 | 2018 |
| So-handnet: Self-organizing network for 3d hand pose estimation with semi-supervised learning Y Chen, Z Tu, L Ge, D Zhang, R Chen, J Yuan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 19 | 2019 |
| Hough forest with optimized leaves for global hand pose estimation with arbitrary postures H Liang, J Yuan, J Lee, L Ge, D Thalmann IEEE transactions on cybernetics 49 (2), 527-541, 2017 | 9 | 2017 |
| 3D hand pose estimation using synthetic data and weakly labeled RGB images Y Cai, L Ge, J Cai, N Magnenat-Thalmann, J Yuan IEEE transactions on pattern analysis and machine intelligence, 2020 | 5 | 2020 |
| End-to-End 3D Hand Pose Estimation from Stereo Cameras. Y Li, Z Xue, Y Wang, L Ge, Z Ren, J Rodriguez BMVC 1, 2, 2019 | 3 | 2019 |
| 3d hand shape and pose estimation L Ge, Z Ren, Y Li, Z Xue, Y Wang US Patent App. 17/010,256, 2020 | | 2020 |
| 3D hand shape and pose estimation L Ge, Z Ren, Y Li, Z Xue, Y Wang US Patent 10,796,482, 2020 | | 2020 |
| Hand Pose Estimation L Ge, J Yuan Computer Vision: A Reference Guide, 1-4, 2020 | | 2020 |
| Real-Time Hand Pose Estimation Using Depth Camera L Ge, J Yuan, NM Thalmann RGB-D Image Analysis and Processing, 355-376, 2019 | | 2019 |
| Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks Download PDF Y Cai, L Ge, J Liu, J Cai, TJ Cham, J Yuan, N Thalmann | | |
| Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks Supplementary Document Y Cai, L Ge, J Liu, J Cai, TJ Cham, J Yuan, NM Thalmann | | |
Junsong YuanState University of New York at BuffaloVerified email at buffalo.edu
