| Geometric transformer for fast and robust point cloud registration Z Qin, H Yu, C Wang, Y Guo, Y Peng, K Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 275 | 2022 |
| Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration H Yu, F Li, M Saleh, B Busam, S Ilic Advances in Neural Information Processing Systems 34, 23872-23884, 2021 | 163 | 2021 |
| Rotation-invariant transformer for point cloud matching H Yu, Z Qin, J Hou, M Saleh, D Li, B Busam, S Ilic Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 46 | 2023 |
| Nerf-pose: A first-reconstruct-then-regress approach for weakly-supervised 6d object pose estimation F Li, SR Vutukur, H Yu, I Shugurov, B Busam, S Yang, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 34 | 2023 |
| Geotransformer: Fast and robust point cloud registration with geometric transformer Z Qin, H Yu, C Wang, Y Guo, Y Peng, S Ilic, D Hu, K Xu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 30 | 2023 |
| Task-specific context decoupling for object detection J Zhuang, Z Qin, H Yu, X Chen arXiv preprint arXiv:2303.01047, 2023 | 27 | 2023 |
| Loss rank mining: A general hard example mining method for real-time detectors H Yu, Z Zhang, Z Qin, H Wu, D Li, J Zhao, X Lu 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 22 | 2018 |
| S-OHEM: Stratified online hard example mining for object detection M Li, Z Zhang, H Yu, X Chen, D Li Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 20 | 2017 |
| Riga: Rotation-invariant and globally-aware descriptors for point cloud registration H Yu, J Hou, Z Qin, M Saleh, I Shugurov, K Wang, B Busam, S Ilic IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 18 | 2024 |
| Deep graph-based spatial consistency for robust non-rigid point cloud registration Z Qin, H Yu, C Wang, Y Peng, K Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Merging-and-evolution networks for mobile vision applications Z Qin, Z Zhang, S Zhang, H Yu, Y Peng IEEE Access 6, 31294-31306, 2018 | 8 | 2018 |
| Merging and evolution: improving convolutional neural networks for mobile applications Z Qin, Z Zhang, S Zhang, H Yu, J Li, Y Peng 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 7 | 2018 |
| Protecting user privacy in remote conversational systems: A privacy-preserving framework based on text sanitization Z Kan, L Qiao, H Yu, L Peng, Y Gao, D Li arXiv preprint arXiv:2306.08223, 2023 | 6 | 2023 |
| Dynamic hyperbolic attention network for fine hand-object reconstruction Z Leng, SC Wu, M Saleh, A Montanaro, H Yu, Y Wang, N Navab, X Liang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Matchu: Matching unseen objects for 6d pose estimation from rgb-d images J Huang, H Yu, KT Yu, N Navab, S Ilic, B Busam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Reduced-Resolution Head for Object Detection J Zhuang, Z Qin, H Yu, X Chen Pacific Rim International Conference on Artificial Intelligence, 165-176, 2023 | | 2023 |
| NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation Supplementary F Li, SR Vutukur, H Yu, I Shugurov, B Busam, S Yang, S Ilic | | |
Zheng QinNational University of Defense Technology在 nudt.edu.cn 的电子邮件经过验证
