Knowledge Conditioned Variational Learning for One-Class Facial Expression Recognition-Reference-Cited by-同舟云学术

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Knowledge Conditioned Variational Learning for One-Class Facial Expression Recognition

Published:2023 Issue: Volume:32 Page:4010-4023
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Zhu Junjie¹^ORCID,Luo Bingjun¹^ORCID,Yang Tianyu¹,Wang Zewen¹^ORCID,Zhao Xibin¹^ORCID,Gao Yue¹^ORCID

Affiliation:

1. Beijing National Research Center for Information Science and Technology (BNRist), Key Laboratory for Information System Security, Ministry of Education (KLISS), School of Software, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10183860.pdf?arnumber=10183860

Reference70 articles.

1. Recognition of Affect in the Wild Using Deep Neural Networks

2. Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition

3. Recognition and discrimination of prototypical dynamic expressions of pain and emotions

4. Categorical perception in facial emotion classification;padgett;Proc Annu Conf Cogn Sci Soc,1996

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1. Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning;Neural Information Processing;2023-11-15

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