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

Authors

157

  1. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    8 publications · 685 citations

    8

    h-index

  2. HH
    Haifeng Hu

    Sun Yat-sen University, China

    7 publications · 155 citations

    7

    h-index

  3. CN
    Chi Nhan Duong

    Concordia University, Canada

    4 publications · 184 citations

    4

    h-index

  4. KL
    Khoa Luu

    Carnegie Mellon University, United States

    4 publications · 184 citations

    4

    h-index

  5. XS
    Xiangbo Shu

    Nanjing University of Science and Technology, China

    4 publications · 477 citations

    4

    h-index

1–5 of 157

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 375 citations

    6

    h-index

  2. 4

    h-index

  3. IEEE Access

    3 publications · 62 citations

    3

    h-index

  4. Psychology and Aging

    3 publications · 248 citations

    3

    h-index

  5. 2

    h-index

1–5