Tao Pu

Sun Yat-sen University — China

Computer Science · Physical Sciences

9h-index228citations16works6.42yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(7), Text and Document Classification Technologies(7), Emotion and Mood Recognition(6), Advanced Image and Video Retrieval Techniques(5), Multimodal Machine Learning Applications(4)

Publications16 total

DART: Dual Adaptive Refinement Transfer for Open-Vocabulary Multi-Label Recognition
2025
Semantic Correlation Adaptation for Union-Set Multi-label Image Recognition
Lecture notes in computer science·2024
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels
Expert Systems with Applications·2024· 11 cited
Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels
IEEE Transactions on Multimedia·2024· 6 cited
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
IEEE Transactions on Image Processing·2024· 15 cited
Spatial–Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation
IEEE Transactions on Image Processing·2023· 22 cited
Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation
arXiv (Cornell University)·2023Open Access
Semantic representation and dependency learning for multi-label image recognition
Neurocomputing·2023· 14 cited
Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization
Lecture notes in computer science·2023· 10 cited
Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels
Proceedings of the AAAI Conference on Artificial Intelligence·2022· 46 citedOpen Access
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
2021· 24 cited
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
arXiv (Cornell University)·2020· 1 citedOpen Access
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
2020· 63 cited
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
arXiv (Cornell University)·2020· 4 citedOpen Access
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark.
arXiv (Cornell University)·2020Open Access
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning
arXiv (Cornell University)·2020· 12 citedOpen Access

Frequent Co-authors

Liang Lin(15), Tianshui Chen(14), Hefeng Wu(13), Yuan Xie(5), Yongyi Lu(2), Zhijing Yang(2), Ling Tian(2), Lingbo Liu(2), Lin Liang(1), Weihang Wang(1), Jinghui Qin(1), Jie Liu(1), Mingzhan Sun(1), Yukai Shi(1), Lu Zeng(1), Qianru Lao(1), Jie Liu(1), Haijing Liu(1), Keze Wang(1), Yuan Xie(1)