Occluded Face Recognition

Occluded Face Recognition is a specialized face recognition task that involves identifying human faces from visual data despite partial blockages or missing regions caused by objects or artifacts遮挡.

351

Publications

33.6K

Citations

931

Authors

354

Institutions

Publications per year

2017–2026

173

Authors

931

  1. SS
    Shiguang Shan

    Institute of Computing Technology, China

    6 publications · 2.3K citations

    6

    h-index

  2. AK
    Anil K. Jain

    Michigan State University, United States

    6 publications · 1.8K citations

    6

    h-index

  3. JD
    Jean‐Luc Dugelay

    EURECOM, France

    6 publications · 278 citations

    6

    h-index

  4. XC
    Xilin Chen

    Institute of Computing Technology, China

    6 publications · 2.3K citations

    6

    h-index

  5. AM
    Aleix M. Martı́nez

    The Ohio State University, United States

    5 publications · 1.1K citations

    5

    h-index

1–5 of 931

Venues

  1. IEEE Access

    12 publications · 409 citations

    13

    h-index

  2. IEEE Transactions on Image Processing

    13 publications · 1.6K citations

    13

    h-index

  3. 12

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 10 publications · 12.5K citations

    10

    h-index

  5. Pattern Recognition

    10 publications · 548 citations

    10

    h-index

1–5