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
Parents
162
Optimizing learning in image retrieval
Yong Rui, Thomas S. Huang · 2002 · 379 citations
Support vector machine learning for image retrieval
Lei Zhang, Fuzong Lin, Bo Zhang · 2002 · 254 citations
Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback
Hui Wu, Yupeng Gao, Xiaoxiao Guo et al. · 2021 · 225 citations
1–5 of 162
438
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h-index
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Institut national de recherche en sciences et technologies du numérique, France
6 publications · 282 citations
6
h-index
5
h-index
5
h-index
1–5 of 438
184
Microsoft Research Asia (China)
Beijing, China
8 h-index
20 publications
1.1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
13 publications
588 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
10 publications
1K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
282 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
14 publications
8.6K citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
9 publications
184 citations
Microsoft (United States)
Redmond, United States
4 h-index
7 publications
1K citations
Tsinghua University
Beijing, China
4 h-index
9 publications
1K citations
1–8 of 184
7 publications · 297 citations
7
h-index
Repository · 6 publications · 223 citations
6
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6 publications · 2K citations
6
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5 publications · 318 citations
5
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5 publications · 1.2K citations
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