Cross-pose Face Recognition

Cross-Pose Face Recognition is a face recognition task that specifically addresses the challenge of matching facial images captured under significantly different pose variations, distinguishing itself from other face recognition tasks by focusing on the invariance to large pose discrepancies between gallery and probe samples.

64

Publications

8K

Citations

168

Authors

74

Institutions

Publications per year

2017–2026

13

Authors

168

  1. SS
    Shiguang Shan

    Institute of Computing Technology, China

    5 publications · 1.6K citations

    5

    h-index

  2. SJ
    Simon J. D. Prince

    University College London, United Kingdom

    4 publications · 1.4K citations

    4

    h-index

  3. JH
    James H. Elder

    York University, Canada

    4 publications · 1.4K citations

    4

    h-index

  4. XC
    Xilin Chen

    Institute of Computing Technology, China

    4 publications · 1.5K citations

    4

    h-index

  5. GH
    Gee-Sern Hsu

    National Taiwan University of Science and Technology, Taiwan

    3 publications · 51 citations

    3

    h-index

1–5 of 168

Venues

  1. 3

    h-index

  2. Image and Vision Computing

    3 publications · 184 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 231 citations

    2

    h-index

  4. Child Development

    2 publications · 199 citations

    2

    h-index

  5. 2

    h-index

1–5