Joint Deep Learning of Facial Expression Synthesis and Recognition-Reference-Cited by-同舟云学术

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Joint Deep Learning of Facial Expression Synthesis and Recognition

Published:2020-11 Issue:11 Volume:22 Page:2792-2807
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Yan Yan^ORCID,Huang Ying^ORCID,Chen Si^ORCID,Shen Chunhua^ORCID,Wang Hanzi^ORCID

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/9238041/08943107.pdf?arnumber=8943107

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3. 4D Facial Expression Diffusion Model;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-28

4. Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition;IEEE Transactions on Multimedia;2024

5. Multimodal Attention CNN for Human Emotion Recognition;Lecture Notes in Networks and Systems;2024

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