Scene Description Learning

Scene Description Learning is a machine learning framework that specifically enables the acquisition of descriptive textual representations of visual scenes by jointly modeling spatial configurations and semantic attributes inherent to scene imagery.

127

Publications

7.9K

Citations

420

Authors

168

Institutions

Publications per year

2017–2026

69

Authors

420

  1. FM
    Farid Melgani

    University of Trento, Italy

    3 publications · 44 citations

    3

    h-index

  2. JB
    Joshua B. Tenenbaum

    Massachusetts Institute of Technology, United States

    3 publications · 186 citations

    3

    h-index

  3. YB
    Yakoub Bazi

    King Saud University, Saudi Arabia

    3 publications · 63 citations

    3

    h-index

  4. QH
    Qingming Huang

    University of Chinese Academy of Sciences, China

    2 publications · 51 citations

    2

    h-index

  5. AL
    Aleš Leonardis

    University of Ljubljana, Slovenia

    2 publications · 36 citations

    2

    h-index

1–5 of 420

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 394 citations

    9

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 190 citations

    4

    h-index

  3. International Journal of Computer Vision

    3 publications · 63 citations

    3

    h-index

  4. Pattern Recognition

    3 publications · 84 citations

    3

    h-index

  5. 3

    h-index

1–5