Visual Grounding

Visual Grounding is a computational framework within multimodal analysis that establishes explicit correspondences between linguistic elements and their associated visual regions in an image, thereby enabling the interpretation of natural language through spatially localized visual evidence.

359

Publications

28.1K

Citations

1.1K

Authors

299

Institutions

Publications per year

2017–2026

285

Authors

1.1K

  1. DP
    Devi Parikh

    Georgia Institute of Technology, United States

    9 publications · 3.2K citations

    9

    h-index

  2. SL
    Stefan Lee

    Georgia Institute of Technology, United States

    8 publications · 3.3K citations

    8

    h-index

  3. JL
    Jiasen Lu

    Georgia Institute of Technology, United States

    8 publications · 3.4K citations

    8

    h-index

  4. HZ
    Hanwang Zhang

    Nanyang Technological University, Singapore

    7 publications · 860 citations

    7

    h-index

  5. JB
    Jason Baldridge

    The University of Texas at Austin, United States

    6 publications · 417 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. arXiv (Cornell University)

    Repository · 74 publications · 5.6K citations

    28

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 16 publications · 926 citations

    15

    h-index

  3. 12

    h-index

  4. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 11 publications · 1.2K citations

    11

    h-index

  5. 5

    h-index

1–5