LZM
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- Associate professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):LZM
- Date of Employment:2021-08-01
- School/Department:信息学院
- Administrative Position:系副主任
- Education Level:博士研究生毕业
- Business Address:厦门大学海韵园科研2-302
- Degree:Doctor of Philosophy (PhD)
- Professional Title:Associate professor
- Status:在职
- Academic Titles:人工智能系
- Alma Mater:厦门大学
- Teacher College:School of Information
Contact Information
- Email：
- Paper Publications
- LZM,Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization.IEEE Transactions on Image Processing,311-1.
- LZM.Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning.35th AAAI Conference on Artificial Intelligence, AAAI 2021,4A3128-3135.
- LZM.An Improved Word Vector-Based Symptom Extraction Method for Traditional Chinese Medical Record Analysis.Proceedings - 11th International Conference on Information Technology in Medicine and Education, ITME 2021,379-384.
- LZM.A Graph-Convolutional-Network based Prototype Mixing Model for Few-shot Segmentation.Proceedings - 11th International Conference on Information Technology in Medicine and Education, ITME 2021,86-90.
- LZM.DF-VLAD: Deepfake Video Detection based on Feature Aggregation.Proceedings - 11th International Conference on Information Technology in Medicine and Education, ITME 2021,91-95.
- LZM.Federated and Generalized Person Re-identification through Domain and Feature Hallucinating.arXiv,2022,
- LZM.A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification.IJCAI International Joint Conference on Artificial Intelligence,845-851.
- LZM.Text-based Person Search via Multi-Granularity Embedding Learning.IJCAI International Joint Conference on Artificial Intelligence,1068-1074.
- LZM,OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World.2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021,9457-9465.
- LZM,Neighborhood Contrastive Learning for Novel Class Discovery.2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021,10862-10870.