Answer Grounding

Answer Grounding is a computational framework in Visual Question Answering that explicitly links predicted answers to specific regions or elements in an image, thereby providing interpretable justifications for the answers by associating them with corresponding visual evidence.

24

Publications

1.7K

Citations

87

Authors

39

Institutions

Publications per year

2017–2026

19

Authors

87

  1. ZY
    Zhenglu Yang

    Nankai University, China

    2 publications · 82 citations

    2

    h-index

  2. TY
    Tianhao Yang

    University of Science and Technology of China, China

    2 publications · 77 citations

    2

    h-index

  3. YL
    Yicong Li

    National University of Singapore, Singapore

    2 publications · 76 citations

    2

    h-index

  4. LY
    Licheng Yu

    University of North Carolina at Chapel Hill, United States

    2 publications · 200 citations

    2

    h-index

  5. OG
    Oliver Groth

    Technische Universität Dresden, Germany

    2 publications · 844 citations

    2

    h-index

1–5 of 87

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 143 citations

    6

    h-index

  2. 2

    h-index

  3. AI Magazine

    1 publications · 67 citations

    1

    h-index

  4. Artificial Intelligence

    1 publications · 11 citations

    1

    h-index

  5. Pattern Recognition Letters

    1 publications · 12 citations

    1

    h-index

1–5