Memory-Modulated Transformer Network for Heterogeneous Face Recognition-Reference-Cited by-同舟云学术

Memory-Modulated Transformer Network for Heterogeneous Face Recognition

Published:2022 Issue: Volume:17 Page:2095-2109
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Luo Mandi¹^ORCID,Wu Haoxue²,Huang Huaibo¹^ORCID,He Weizan³,He Ran¹^ORCID

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. School of Automation, Beijing Institute of Technology, Beijing, China

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Link

http://xplorestaging.ieee.org/ielx7/10206/9652463/09781402.pdf?arnumber=9781402

Reference91 articles.

1. Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition

2. Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition

3. NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction

4. Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words

5. Regularized Discriminative Spectral Regression Method for Heterogeneous Face Matching

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