| 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 | 410 | 2022 |
| ThunderNet: Towards real-time generic object detection on mobile devices Z Qin, Z Li, Z Zhang, Y Bao, G Yu, Y Peng, J Sun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 371 | 2019 |
| Fd-mobilenet: Improved mobilenet with a fast downsampling strategy Z Qin, Z Zhang, X Chen, C Wang, Y Peng 2018 25th IEEE International Conference on Image Processing (ICIP), 1363-1367, 2018 | 138 | 2018 |
| 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 | 94 | 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 45 (8), 9806-9821, 2023 | 93 | 2023 |
| Task-specific context decoupling for object detection J Zhuang, Z Qin, H Yu, X Chen arXiv preprint arXiv:2303.01047, 2023 | 59 | 2023 |
| 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 | 40 | 2024 |
| Sifter: A framework for robust rumor detection M Lu, Z Huang, B Li, Y Zhao, Z Qin, DS Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 429-442, 2022 | 34 | 2022 |
| Diagonalwise refactorization: An efficient training method for depthwise convolutions Z Qin, Z Zhang, D Li, Y Zhang, Y Peng 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 34 | 2018 |
| 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 | 31 | 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 | 31 | 2018 |
| Unsupervised voice-face representation learning by cross-modal prototype contrast B Zhu, K Xu, C Wang, Z Qin, T Sun, H Wang, Y Peng arXiv preprint arXiv:2204.14057, 2022 | 19 | 2022 |
| 2d3d-matr: 2d-3d matching transformer for detection-free registration between images and point clouds M Li, Z Qin, Z Gao, R Yi, C Zhu, Y Guo, K Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11 | 2023 |
| 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 | 10 | 2018 |
| 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 |
| Decoupled diffusion models with explicit transition probability Y Huang, Z Qin, X Liu, K Xu arXiv preprint arXiv:2306.13720, 2023 | 7 | 2023 |
| Tensorformer: Normalized Matrix Attention Transformer for High-quality Point Cloud Reconstruction H Tian, Z Qin, R Yi, C Zhu, K Xu IEEE Transactions on Multimedia, 2023 | 5 | 2023 |
| Learning accurate template matching with differentiable coarse-to-fine correspondence refinement Z Gao, R Yi, Z Qin, Y Ye, C Zhu, K Xu Computational Visual Media 10 (2), 309-330, 2024 | 4 | 2024 |
| CasViGE: Learning robust point cloud registration with cascaded visual-geometric encoding Z Qin, C Wang, Y Peng, K Xu Computer Aided Geometric Design 104, 102217, 2023 | 2 | 2023 |
| NeRF-Guided Unsupervised Learning of RGB-D Registration Z Yu, Z Qin, Y Tang, Y Wang, R Yi, C Zhu, K Xu arXiv preprint arXiv:2405.00507, 2024 | 1 | 2024 |
