Progressive Filtering
Progressive Filtering is a method in interactive filtering systems that iteratively refines data subsets by successively applying user-informed criteria to enhance retrieval precision while preserving relevant items across dynamic user feedback loops.
31
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1.1K
Citations
73
Authors
35
Institutions
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2017–2026
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CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Dingkang Liang, Jiahao Xie, Zhikang Zou et al. · 2023 · 78 citations
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Rochester Institute of Technology
Rochester, United States
4 h-index
8 publications
252 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
4 h-index
9 publications
194 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
5 publications
486 citations
Stanford University
Stanford, United States
2 h-index
2 publications
23 citations

University of Cagliari
Cagliari, Italy
2 h-index
6 publications
75 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
40 citations

Harbin Engineering University
Harbin, China
1 h-index
4 publications
60 citations
Google (United States)
Mountain View, United States
1 h-index
1 publications
13 citations
1–8 of 35
Repository · 2 publications · 50 citations
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1 publications · 19 citations
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Repository · 1 publications · 31 citations
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1 publications · 53 citations
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1 publications · 25 citations
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