Occlusion Segmentation

Occlusion Segmentation is a computational method in computer vision that identifies and delineates the visible regions of objects in an image by distinguishing occluded from non-occluded segments through spatial reasoning and boundary analysis.

62

Publications

3.2K

Citations

183

Authors

73

Institutions

Publications per year

2017–2026

20

Authors

183

  1. AE
    Ahmed Elgammal

    Rutgers, The State University of New Jersey, United States

    2 publications · 184 citations

    2

    h-index

  2. NY
    N.H.C. Yung

    University of Hong Kong, Hong Kong SAR China

    2 publications · 163 citations

    2

    h-index

  3. WL
    Wan-Yi Lam

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 163 citations

    2

    h-index

  4. CC
    Clement Chun Cheong Pang

    University of Hong Kong, Hong Kong SAR China

    2 publications · 163 citations

    2

    h-index

  5. AN
    Andrew N. Stein

    Carnegie Mellon University, United States

    2 publications · 99 citations

    2

    h-index

1–5 of 183

Venues

  1. Computers and Electronics in Agriculture

    3 publications · 145 citations

    4

    h-index

  2. International Journal of Computer Vision

    3 publications · 602 citations

    3

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 104 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5