Tao Pu

Orcid: 0000-0001-9564-8288

Affiliations:
  • Sun Yat-sen University, China


According to our database1, Tao Pu authored at least 17 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels.
Int. J. Comput. Vis., December, 2024

Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels.
IEEE Trans. Multim., 2024

Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation.
IEEE Trans. Image Process., 2024

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration.
IEEE Trans. Image Process., 2024

Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels.
Expert Syst. Appl., 2024

2023
Semantic representation and dependency learning for multi-label image recognition.
Neurocomputing, March, 2023

Video Scene Graph Generation with Spatial-Temporal Knowledge.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels.
CoRR, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.
CoRR, 2022

Semantic Representation and Dependency Learning for Multi-Label Image Recognition.
CoRR, 2022

Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization.
Proceedings of the Computer Vision - ACCV 2022, 2022

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark.
CoRR, 2020

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020


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