李梓卓
李梓卓
电话:13477717542
邮箱:zizhuo_li@whu.edu.cn
办公地点:武汉大学于刚·宋晓楼A713,邮编:430072
个人主页:
研究方向:计算机视觉、图像匹配、多视图几何
导师类型:无
2016.09-2020.06,武汉理工大学,电子信息工程,学士
2020.09-2022.06,武汉大学,电子与通信工程,硕士
2022.09-2025.12,武汉大学,通信与信息系统,博士 (导师:马佳义教授)
2026.01至今,武汉大学,电子信息学院,弘毅博士后
2027.01-2027.12,中国博士后科学基金会面上项目,面向真实复杂场景可鲁棒泛化的多模图像匹配方法研究,主持
以第一/通讯作者在IEEE TPAMI/TIP、ICCV、ACM MM等中科院一区Top/CCF A类期刊、会议上发表学术论文14篇,含CCF A类论文6篇。部分代表性论文包括:
1. Zizhuo Li, Shihua Zhang, and Jiayi Ma. U-Match: Exploring Hierarchy-Aware Local Context for Two-View Correspondence Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024, 46(12): 10960-10977. (CCF A类期刊, IF=18.6, 人工智能领域顶刊)
2. Zizhuo Li, Yifan Lu, Linfeng Tang, Shihua Zhang, and Jiayi Ma. CoMatch: Dynamic Covisibility-Aware Transformer for Bilateral Subpixel-Level Semi-Dense Image Matching. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, 18521-18530. (CCF A类会议, Highlight, 前2.3%, 计算机视觉领域顶会)
3. Zizhuo Li, and Jiayi Ma. Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network. IEEE Transactions on Image Processing (IEEE TIP), 2024, 34: 154-169. (CCF A类期刊, IF=13.7, 图像处理领域顶刊)
4. Zizhuo Li, Jiayi Ma, and Guobao Xiao. Density-Guided Incremental Dominant Instance Exploration for Two-View Geometric Model Fitting. IEEE Transactions on Image Processing (IEEE TIP), 2023, 32: 5408-5422. (CCF A类期刊, IF=13.7, 图像处理领域顶刊)
5. Zizhuo Li, Chunbao Su, Fan Fan, Jun Huang, and Jiayi Ma. CorrNeXt: Making the ConvNet-Style Correspondence Pruner Stronger for Two-View Geometry. In Proceedings of the ACM International Conference on Multimedia (ACM MM), 2025, 4203-4212. (CCF A类会议, 多媒体领域顶会)
6. Meng Yang* , Zizhuo Li*, Linfeng Tang, Fan Fan, and Jiayi Ma. AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images. In Proceedings of the European Conference on Computer Vision (ECCV), 2026. (计算机视觉领域顶会)
7. Zizhuo Li, Songchu Deng, Linfeng Tang, and Jiayi Ma. Efficient Sparse-to-Dense Visual Localization via Compact Gaussian Scene Representation and Accelerated Dense Pose Estimation. IEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS) , 2026. (中科院一区Top, IF=19.2, 自动化领域顶刊)
8. Zizhuo Li, Jie Jiang, and Jiayi Ma. Seed to Prune: A Seeded Graph Neural Network for Two-View Correspondence Learning. IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025, 36(7): 12199-12213. (中科院一区Top, IF=8.9, 人工智能与机器学习领域顶刊)
9. Zizhuo Li, Chunbao Su, Fan Fan, Jun Huang, and Jiayi Ma. MC-Net: Integrating Multi-Level Geometric Context for Two-View Correspondence Learning. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024, 34(7): 7550-7565. (中科院一区Top, IF=11.1, 视频处理领域顶刊)
10. Zizhuo Li, Yong Ma, Xiaoguang Mei, and Jiayi Ma. Two-View Correspondence Learning using Graph Neural Network with Reciprocal Neighbor Attention. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2023, 202: 114-124. (中科院一区Top, IF=12.2, 摄影测量与遥感领域期刊)
11. Zizhuo Li, Yong Ma, Xiaoguang Mei, Jun Huang, and Jiayi Ma. Guided Neighborhood Affine Subspace Embedding for Feature Matching. Pattern Recognition (PR), 2022, 124: 108489-108505. (中科院一区Top, IF=7.6, 模式识别领域期刊)
12. Zizhuo Li, Shihua Zhang, and Jiayi Ma. U-Match: Two-view Correspondence Learning with Hierarchy-aware Local Context Aggregation. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023, 1169-1176. (Oral, 人工智能领域顶会)
13. Jiayi Ma (导师), Zizhuo Li, Kaining Zhang, Zhenfeng Shao, and Guobao Xiao. Robust Feature Matching via Neighborhood Manifold Representation Consensus. ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS P&RS), 2022, 183: 196-209. (中科院一区Top, IF=12.2, 摄影测量与遥感领域期刊)
14. Xiang Fang, Zizhuo Li*, and Jiayi Ma*. SigMa: Semantic Similarity-Guided Semi-Dense Feature Matching. IEEE Transactions on Image Processing (IEEE TIP), 2026, 35: 872-887. (CCF A类期刊, IF=13.7, 图像处理领域顶刊)


学院地址: 湖北省武汉市武昌区八一路299号 (430072)
Address:No.299 Bayi Road,Wuhan,Hubei(P.R.C.:430072)
联系电话 (Tel) :(+86)27-68756275/68778537
传真 (Fax) :(+86)27-68778537
网址 (Http) : Http://eis.whu.edu.cn
联系邮箱 (Email) : eisyb@whu.edu.cn
武汉大学电子信息学院
官方微信公众号