Disentangling Identity and Pose for Facial Expression Recognition
Author:
Affiliation:
1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
Funder
National Natural Science Foundation of China
BUPT Excellent Ph.D. Students Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Software
Link
http://xplorestaging.ieee.org/ielx7/5165369/9964459/09854155.pdf?arnumber=9854155
Reference46 articles.
1. Combining convolutional neural networks for emotion recognition
2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition
3. Learning face representation from scratch;yi,2014
4. Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
5. Video and Image based Emotion Recognition Challenges in the Wild
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