Heterogeneous Face Interpretable Disentangled Representation for Joint Face Recognition and Synthesis-Reference-Cited by-同舟云学术

Heterogeneous Face Interpretable Disentangled Representation for Joint Face Recognition and Synthesis

Published:2021 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Liu Decheng¹^ORCID,Gao Xinbo²^ORCID,Peng Chunlei³^ORCID,Wang Nannan⁴^ORCID,Li Jie¹

Affiliation:

1. State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an 710071, China.

2. State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi'an 710071, China, and also with the Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 400065, China (e-mail: xbgao@mail.xidian.edu.cn)

3. State Key Laboratory of Integrated Services Networks, School of Cyber Engineering, Xidian University, Xi'an 710071, China.

4. State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an 710071, China (e-mail: nnwang@xidian.edu.cn)

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Xidian University Intellifusion Joint Innovation Laboratory of Artificial Intelligence

Fundamental Research Funds for the Central Universities

China Post-Doctoral Science Foundation

Key Research and Development Program of Shaanxi

Guangxi Natural Science Foundation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09406190.pdf?arnumber=9406190

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