Scene Graph Analysis

Scene Graph Analysis is an academic method within Ensemble Performance Analysis that systematically represents and interprets complex visual scenes by constructing structured graph-based models encoding semantic relationships among objects, thereby distinguishing itself from other scene understanding techniques through its explicit formalization of entities and their relational predicates.

154

Publications

14.7K

Citations

504

Authors

169

Institutions

Publications per year

2017–2026

112

Authors

504

  1. JX
    Jun Xiao

    Zhejiang University, China

    5 publications · 291 citations

    5

    h-index

  2. LC
    Long Chen

    Zhejiang University, China

    5 publications · 291 citations

    5

    h-index

  3. HZ
    Hanwang Zhang

    Nanyang Technological University, Singapore

    4 publications · 955 citations

    4

    h-index

  4. LG
    Lianli Gao

    University of Electronic Science and Technology of China, China

    4 publications · 192 citations

    4

    h-index

  5. RK
    Ranjay Krishna

    Stanford University, United States

    4 publications · 405 citations

    4

    h-index

1–5 of 504

Venues

  1. arXiv (Cornell University)

    Repository · 16 publications · 425 citations

    14

    h-index

  2. 7

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 107 citations

    6

    h-index

  4. 6

    h-index

  5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

    Conference · 4 publications · 187 citations

    4

    h-index

1–5