Unconstrained Face Recognition

Unconstrained Face Recognition is a face recognition paradigm that operates in unrestricted environments, distinguished from constrained counterparts by its adaptation to natural variations in illumination, pose, expression, occlusion, and imaging conditions without controlled subject cooperation.

268

Publications

23.6K

Citations

708

Authors

287

Institutions

Publications per year

2017–2026

128

Authors

708

  1. RC
    Rama Chellappa

    University of Maryland, College Park, United States

    22 publications · 2.5K citations

    20

    h-index

  2. AK
    Anil K. Jain

    Michigan State University, United States

    19 publications · 2.8K citations

    14

    h-index

  3. VM
    Vishal M. Patel

    Johns Hopkins University, United States

    14 publications · 1.7K citations

    14

    h-index

  4. JC
    Jun-Cheng Chen

    University of Maryland, College Park, United States

    13 publications · 1.9K citations

    13

    h-index

  5. RR
    Rajeev Ranjan

    University of Maryland, College Park, United States

    9 publications · 644 citations

    9

    h-index

1–5 of 708

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 785 citations

    13

    h-index

  2. 11

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 11 publications · 2.5K citations

    11

    h-index

  4. IEEE Transactions on Image Processing

    6 publications · 524 citations

    6

    h-index

  5. Pattern Recognition

    6 publications · 272 citations

    6

    h-index

1–5