YY
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- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):YY
- School/Department:信息学院
- Education Level:博士研究生毕业
- Contact Information:yanyan at xmu.edu.cn
- Degree:Doctor of Engineering (D.Eng.)
- Professional Title:Professor
- Status:在职
- Teacher College:School of Information
Contact Information
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- Paper Publications
- YY.MRCN: A Novel Modality Restitution and Compensation Network for Visible-Infrared Person Re-identification.Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023,2023,373498-3506.
- YY.Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification.arXiv,2024,
- YY.HC-GCN: hierarchical contrastive graph convolutional network for unsupervised domain adaptation on person re-identification.MULTIMEDIA SYSTEMS,2023,
- YY.HASI: Hierarchical Attention-Aware Spatio-Temporal Interaction for Video-Based Person Re-Identification.IEEE Transactions on Circuits and Systems for Video Technology,34(6):1-1.
- YY.Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery.IEEE Transactions on Neural Networks and Learning Systems,1-14.
- LJY,YY.A Dual-Path Transformer Network for Scene Text Detection.ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings,2023-June
- YY.Class-Aware Dual-Supervised Aggregation Network for Video Object Detection.IEEE Transactions on Multimedia,261-14.
- WHZ,YY.Spatio-Temporal Self-supervision for Few-Shot Action Recognition.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14425 LNCS84-96.
- YY,Modality Interference Decoupling and Representation Alignment for Caricature-Visual Face Recognition.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),14425 LNCS297-308.
- YY.Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition.IEEE Transactions on Image Processing,331257-1271.