Adversarial Decoupling and Modality-Invariant Representation Learning for Visible-Infrared Person Re-Identification

Author:

Hu Weipeng1ORCID,Liu Bohong1,Zeng Haitang1,Hou Yanke1ORCID,Hu Haifeng1ORCID

Affiliation:

1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Implicit Modality Knowledge Alignment and Uncertainty Estimation for visible-infrared person re-identification;Expert Systems with Applications;2025-01

2. Cross-modal group-relation optimization for visible–infrared person re-identification;Neural Networks;2024-11

3. Bridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification;IEEE Transactions on Circuits and Systems for Video Technology;2024-08

4. Unbiased Feature Learning with Causal Intervention for Visible-Infrared Person Re-identification;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-27

5. Comprehensive Survey on Person Identification: Queries, Methods, and Datasets;Proceedings of the 1st ICMR Workshop on Multimedia Object Re-Identification;2024-06-10

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