Motion Parsing

Motion Parsing is a computational framework that segments and interprets complex visual motion signals into distinct, meaningful components by attributing specific motion patterns to their most likely sources within a dynamic scene.

54

Publications

2.9K

Citations

147

Authors

79

Institutions

Publications per year

2017–2026

10

Authors

147

  1. ZJ
    Zequn Jie

    Tencent (China), China

    2 publications · 89 citations

    2

    h-index

  2. AJ
    A. J. Foulkes

    University of Liverpool, United Kingdom

    2 publications · 49 citations

    2

    h-index

  3. JF
    Jiashi Feng

    National University of Singapore, Singapore

    2 publications · 89 citations

    2

    h-index

  4. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    3 publications · 129 citations

    2

    h-index

  5. AS
    Abhijit S. Ogale

    University of Maryland, College Park, United States

    2 publications · 91 citations

    2

    h-index

1–5 of 147

Venues

  1. Journal of Vision

    3 publications · 148 citations

    3

    h-index

  2. 3

    h-index

  3. 2

    h-index

  4. The Visual Computer

    2 publications · 59 citations

    2

    h-index

  5. Neurocomputing

    1 publications · 35 citations

    2

    h-index

1–5