Group Sparse-based Discriminative Feature Learning for Face Recognition-Reference-Cited by-同舟云学术

Group Sparse-based Discriminative Feature Learning for Face Recognition

Published:2022-03-25 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Image Processing and Machine Vision (IPMV)
language:
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Author:

QIU XIAOQUN¹,DU XIAOYU²,DENG LIYAN³,CHEN ZHEN²

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology, China and School of Artificial Intelligence, Zhuhai City Polytechnic, China

2. School of Electronic and Information Engineering, South China University of Technology, China

3. School of Artificial Intelligence, Zhuhai City Polytechnic, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529446.3529450

Reference20 articles.

1. He R. Wu X. Sun Z. & Tan T. (2018). Wasserstein cnn: Learning invariant features for nir-vis face recognition. IEEE transactions on pattern analysis and machine intelligence 41(7) 1761-1773. He R. Wu X. Sun Z. & Tan T. (2018). Wasserstein cnn: Learning invariant features for nir-vis face recognition. IEEE transactions on pattern analysis and machine intelligence 41(7) 1761-1773.

2. Zhong Y. Chen J. & Huang B. (2017). Toward end-to-end face recognition through alignment learning. IEEE signal processing letters 24(8) 1213-1217. Zhong Y. Chen J. & Huang B. (2017). Toward end-to-end face recognition through alignment learning. IEEE signal processing letters 24(8) 1213-1217.

3. Gao S. Zhang Y. Jia K. Lu J. & Zhang Y. (2015). Single sample face recognition via learning deep supervised autoencoders. IEEE transactions on information forensics and security 10(10) 2108-2118. Gao S. Zhang Y. Jia K. Lu J. & Zhang Y. (2015). Single sample face recognition via learning deep supervised autoencoders. IEEE transactions on information forensics and security 10(10) 2108-2118.

4. Li P. Prieto M. L. Flynn P. J. & Mery D. (2017 October). Learning face similarity for re-identification from real surveillance video: A deep metric solution. In 2017 IEEE International Joint Conference on Biometrics (IJCB) (pp. 243-252). IEEE. Li P. Prieto M. L. Flynn P. J. & Mery D. (2017 October). Learning face similarity for re-identification from real surveillance video: A deep metric solution. In 2017 IEEE International Joint Conference on Biometrics (IJCB) (pp. 243-252). IEEE.

5. He R. Cao J. Song L. Sun Z. & Tan T. (2019). Adversarial cross-spectral face completion for NIR-VIS face recognition. IEEE transactions on pattern analysis and machine intelligence 42(5) 1025-1037. He R. Cao J. Song L. Sun Z. & Tan T. (2019). Adversarial cross-spectral face completion for NIR-VIS face recognition. IEEE transactions on pattern analysis and machine intelligence 42(5) 1025-1037.