Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning-Reference-Cited by-同舟云学术

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Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning

Published:2023 Issue: Volume: Page:1-14
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Li Hangyu¹^ORCID,Wang Nannan¹^ORCID,Yang Xi¹^ORCID,Wang Xiaoyu²^ORCID,Gao Xinbo³^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China

2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China

3. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/10091157.pdf?arnumber=10091157

Cited by 8 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. A dual stream attention network for facial expression recognition in the wild;International Journal of Machine Learning and Cybernetics;2024-07-23

2. Hard semantic mask strategy for automatic facial action unit recognition with teacher–student model;Multimedia Systems;2024-06-20

3. Structural self-contrast learning based on adaptive weighted negative samples for facial expression recognition;The Visual Computer;2024-04-15

4. Complexity aware center loss for facial expression recognition;The Visual Computer;2024-01-09

5. Hierarchical Co-Consistency Quantization and Information Refining Binary Network for Facial Expression Recognition in Human–Robot Interaction;IEEE Transactions on Industrial Informatics;2024

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