Interactive Image Retrieval

Interactive Image Retrieval is an image retrieval paradigm that distinguishes itself by incorporating user feedback during the retrieval process to iteratively refine and personalize search results based on relevance judgments.

162

Publications

9.7K

Citations

438

Authors

184

Institutions

Publications per year

2017–2026

27

Authors

438

  1. HW
    Hui Wu

    Tsinghua University, China

    6 publications · 434 citations

    6

    h-index

  2. XG
    Xiaoxiao Guo

    IBM (United States), United States

    6 publications · 434 citations

    6

    h-index

  3. NB
    Nozha Boujemaa

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

    6 publications · 282 citations

    6

    h-index

  4. SJ
    Steven J. Rennie

    IBM (United States), United States

    5 publications · 421 citations

    5

    h-index

  5. RF
    Rogério Feris

    IBM (United States), United States

    5 publications · 421 citations

    5

    h-index

1–5 of 438

Venues

  1. IEEE Transactions on Multimedia

    7 publications · 297 citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 223 citations

    6

    h-index

  3. 6

    h-index

  4. IEEE Transactions on Image Processing

    5 publications · 318 citations

    5

    h-index

  5. 5

    h-index

1–5