Visual Scene Parsing

Visual Scene Parsing is a computational framework that integrates object-based attention mechanisms to decompose complex visual environments into semantically meaningful, spatially organized components by identifying and structuring constituent objects and their relationships within a scene.

571

Publications

83.1K

Citations

1.7K

Authors

494

Institutions

Publications per year

2017–2026

294

Authors

1.7K

  1. SZ
    Song‐Chun Zhu

    University of California, Los Angeles, United States

    22 publications · 2.1K citations

    17

    h-index

  2. SY
    Shuicheng Yan

    National University of Singapore, Singapore

    22 publications · 1.7K citations

    17

    h-index

  3. JF
    Jiashi Feng

    National University of Singapore, Singapore

    19 publications · 1.7K citations

    15

    h-index

  4. LL
    Liang Lin

    Sun Yat-sen University, China

    14 publications · 1.9K citations

    13

    h-index

  5. AY
    Alan Yuille

    Johns Hopkins University, United States

    11 publications · 2.1K citations

    11

    h-index

1–5 of 1.7K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 86 publications · 5.5K citations

    42

    h-index

  2. arXiv (Cornell University)

    Repository · 63 publications · 4.5K citations

    32

    h-index

  3. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 17 publications · 2.2K citations

    16

    h-index

  4. International Journal of Computer Vision

    14 publications · 24.1K citations

    14

    h-index

  5. Pattern Recognition

    15 publications · 675 citations

    12

    h-index

1–5