Facial Prior Guided Micro-Expression Generation
Author:
Affiliation:
1. National Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China
2. School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shenzhen
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/10346232/10375342.pdf?arnumber=10375342
Reference83 articles.
1. CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation
2. How Fast are the Leaked Facial Expressions: The Duration of Micro-Expressions
3. Reading Between the Lies
4. Recognising spontaneous facial micro-expressions
5. Deep Learning for Micro-Expression Recognition: A Survey
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