Expression Invariance

Expression Invariance is a property of facial representation models in face recognition that enables consistent identification across variations in facial expressions by encoding identity-specific features while suppressing expression-related changes.

72

Publications

4K

Citations

217

Authors

111

Institutions

Publications per year

2017–2026

12

Authors

217

  1. DS
    Dirk Smeets

    Icometrix (Belgium), Belgium

    3 publications · 90 citations

    3

    h-index

  2. PS
    Paul Suetens

    KU Leuven, Belgium

    3 publications · 90 citations

    3

    h-index

  3. DV
    Dirk Vandermeulen

    KU Leuven, Belgium

    3 publications · 90 citations

    3

    h-index

  4. JH
    Jeroen Hermans

    KU Leuven, Belgium

    3 publications · 90 citations

    3

    h-index

  5. HZ
    Hao Zhang

    Simon Fraser University, Canada

    2 publications · 100 citations

    2

    h-index

1–5 of 217

Venues

  1. Pattern Recognition Letters

    2 publications · 85 citations

    2

    h-index

  2. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 124 citations

    2

    h-index

  3. Child Development

    2 publications · 237 citations

    2

    h-index

  4. Machine Vision and Applications

    2 publications · 64 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 40 citations

    2

    h-index

1–5