Vision Transfer

Vision Transfer is a scholarly contribution in the field of Vision Communication that specifically denotes a method, model, framework, theory, construct, dataset, task, or metric designed to enable the systematic adaptation and application of visual knowledge or representations across distinct domains, tasks, or modalities.

13

Publications

633

Citations

32

Authors

21

Institutions

Publications per year

2017–2026

5

Authors

32

  1. CA
    C. A. Hayman

    McMaster University, Canada

    2 publications · 213 citations

    2

    h-index

  2. LL
    Larry L. Jacoby

    Washington University in St. Louis, United States

    2 publications · 213 citations

    2

    h-index

  3. WW
    Wenhao Wu

    Baidu (China), China

    1 publications · 26 citations

    1

    h-index

  4. VG
    Vedanuj Goswami

    Meta (Israel), Israel

    1 publications · 10 citations

    1

    h-index

  5. RA
    Rafael Azevedo

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 16 citations

    1

    h-index

1–5 of 32

Venues

  1. Brain Research

    2 publications · 23 citations

    2

    h-index

  2. 2

    h-index

  3. International Journal of Computer Vision

    2 publications · 42 citations

    2

    h-index

  4. Research Quarterly for Exercise and Sport

    RQES · 1 publications · 10 citations

    1

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 12 citations

    1

    h-index

1–5