Image Question Answering

Image Question Answering is a subfield of artificial intelligence that, within the broader domain of multimodal understanding, specifically entails the development and study of computational systems capable of generating natural language answers to unconstrained questions about digital images by jointly processing visual and textual modalities.

397

Publications

48.4K

Citations

1.3K

Authors

376

Institutions

Publications per year

2017–2026

313

Authors

1.3K

  1. QW
    Qi Wu

    The University of Adelaide, Australia

    12 publications · 1.4K citations

    11

    h-index

  2. CS
    Chunhua Shen

    The University of Adelaide, Australia

    11 publications · 1.5K citations

    11

    h-index

  3. AV
    Anton van den Hengel

    The University of Adelaide, Australia

    11 publications · 1.5K citations

    11

    h-index

  4. PW
    Peng Wang

    Northwestern Polytechnical University, China

    9 publications · 1.4K citations

    9

    h-index

  5. JG
    Jianfeng Gao

    Microsoft Research (United Kingdom), United Kingdom

    7 publications · 3.3K citations

    7

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 97 publications · 8.5K citations

    40

    h-index

  2. Neurocomputing

    13 publications · 864 citations

    13

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 12 publications · 3.7K citations

    12

    h-index

  4. Multimedia Tools and Applications

    13 publications · 324 citations

    11

    h-index

  5. Pattern Recognition

    9 publications · 453 citations

    9

    h-index

1–5