| Robust feature matching via neighborhood manifold representation consensus J Ma, Z Li, K Zhang, Z Shao, G Xiao ISPRS Journal of Photogrammetry and Remote Sensing 183, 196-209, 2022 | 37 | 2022 |
| MRE: A military relation extraction model based on BiGRU and multi-head attention Y Lu, R Yang, X Jiang, D Zhou, C Yin, Z Li Symmetry 13 (9), 1742, 2021 | 13 | 2021 |
| Guided neighborhood affine subspace embedding for feature matching Z Li, Y Ma, X Mei, J Huang, J Ma Pattern Recognition 124, 108489, 2022 | 11 | 2022 |
| U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. Z Li, S Zhang, J Ma IJCAI, 1169-1176, 2023 | 10 | 2023 |
| Two-view correspondence learning using graph neural network with reciprocal neighbor attention Z Li, Y Ma, X Mei, J Ma ISPRS Journal of Photogrammetry and Remote Sensing 202, 114-124, 2023 | 4 | 2023 |
| Appearance-based loop closure detection via bidirectional manifold representation consensus K Zhang, Z Li, J Ma 2021 IEEE International Conference on Robotics and Automation (ICRA), 6811-6817, 2021 | 4 | 2021 |
| Loop closure detection with bidirectional manifold representation consensus K Zhang, Z Li, J Ma IEEE Transactions on Intelligent Transportation Systems 24 (4), 3949-3962, 2022 | 3 | 2022 |
| Density-Guided Incremental Dominant Instance Exploration for Two-View Geometric Model Fitting Z Li, J Ma, G Xiao IEEE Transactions on Image Processing, 2023 | 2 | 2023 |
| Learning feature matching via matchable keypoint-assisted graph neural network Z Li, J Ma arXiv preprint arXiv:2307.01447, 2023 | 2 | 2023 |
| MC-Net: Integrating Multi-level Geometric Context for Two-view Correspondence Learning Z Li, C Su, F Fan, J Huang, J Ma IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 1 | 2024 |
| Seed to Prune: A Seeded Graph Neural Network for Two-View Correspondence Learning Z Li, J Jiang, J Ma IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| U-Match: Exploring Hierarchy-aware Local Context for Two-view Correspondence Learning Z Li, S Zhang, J Ma IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | | 2024 |
| A more reliable local-global-guided network for correspondence pruning C Peng, Z Yang, Y Lu, Z Li, Q Jin Pattern Recognition Letters 181, 16-22, 2024 | | 2024 |
| DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning S Zhang, Z Li, Y Gao, J Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Jiayi MaWuhan University在 whu.edu.cn 的电子邮件经过验证
Jiayi MaWuhan University在 whu.edu.cn 的电子邮件经过验证
Shihua ZhangStudent, Wuhan University在 whu.edu.cn 的电子邮件经过验证