Cross-age Face Recognition
Cross-Age Face Recognition is a specialized subtask within face recognition that addresses the challenge of matching facial images of the same individual across different age groups, where age progression introduces significant variations in facial appearance.
53
Publications
3.4K
Citations
157
Authors
74
Institutions
Publications per year
2017–2026
33
Variants
Age-invariant Face Recognition
Parents
53
Face Aging with Identity-Preserved Conditional Generative Adversarial Networks
Xu Tang, Zongwei Wang, Weixin Luo et al. · 2018 · 260 citations
Marginal Loss for Deep Face Recognition
Jiankang Deng, Yuxiang Zhou, Stefanos Zafeiriou · 2017 · 234 citations
Hidden Factor Analysis for Age Invariant Face Recognition
Dihong Gong, Zhifeng Li, Dahua Lin et al. · 2013 · 202 citations
1–5 of 53
157
8
h-index
7
h-index
4
h-index
4
h-index
4
h-index
1–5 of 157
74
National University of Singapore
Singapore, Singapore
8 h-index
25 publications
2.5K citations

Sun Yat-sen University
Guangzhou, China
7 h-index
19 publications
431 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
1.2K citations
Nanjing University of Science and Technology
Nanjing, China
4 h-index
6 publications
472 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
12 publications
648 citations

Concordia University
Montreal, Canada
3 h-index
8 publications
400 citations

University of Trento
Trento, Italy
3 h-index
6 publications
768 citations
University of Delaware
Newark, United States
2 h-index
4 publications
66 citations
1–8 of 74
Repository · 6 publications · 375 citations
6
h-index
4 publications · 72 citations
4
h-index
3 publications · 62 citations
3
h-index
3 publications · 248 citations
3
h-index
2 publications · 50 citations
2
h-index
1–5