Visual Commonsense Reasoning

Visual Commonsense Reasoning is a computational framework in the domain of Visual Question Answering that integrates perceptual understanding with background knowledge to infer plausible, human-like inferences about visual scenes by reasoning beyond observable content to encompass implicit, everyday knowledge.

85

Publications

8.3K

Citations

317

Authors

93

Institutions

Publications per year

2017–2026

70

Authors

317

  1. DP
    Devi Parikh

    Georgia Institute of Technology, United States

    5 publications · 2.7K citations

    5

    h-index

  2. XL
    Xiaodan Liang

    Sun Yat-sen University, China

    4 publications · 151 citations

    4

    h-index

  3. JL
    Jiasen Lu

    Georgia Institute of Technology, United States

    4 publications · 2.7K citations

    4

    h-index

  4. LL
    Liang Lin

    Sun Yat-sen University, China

    4 publications · 217 citations

    4

    h-index

  5. CB
    Chitta Baral

    Arizona State University, United States

    3 publications · 118 citations

    3

    h-index

1–5 of 317

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 3.7K citations

    17

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 8 publications · 1.2K citations

    8

    h-index

  3. Neural Information Processing Systems

    Conference · 4 publications · 997 citations

    4

    h-index

  4. 2

    h-index

  5. Bristol Research (University of Bristol)

    Repository · 1 publications · 29 citations

    1

    h-index

1–5