Visual Trend Mining
Visual Trend Mining is a systematic method within fashion trend forecasting that identifies and analyzes emerging aesthetic patterns from visual data sources to predict future design directions.
34
Publications
2K
Citations
107
Authors
45
Institutions
Publications per year
2017–2026
19
Parents
34
Proceedings of the ACM Web Conference 2022
Frédérique Laforest, Raphaël Troncy, Elena Simperl et al. · 2022 · 522 citations
Pak Chung Wong · IEEE Computer Graphics and Applications · 1999 · 211 citations
Runway to Realway: Visual Analysis of Fashion
Sirion Vittayakorn, Kota Yamaguchi, Alexander C. Berg et al. · 2015 · 111 citations
Computing, Computer Science, Design +14
1–5 of 34
107
4
h-index
Fraunhofer Institute for Computer Graphics Research, Germany
4 publications · 71 citations
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 107
45
Darmstadt University of Applied Sciences
Darmstadt, Germany
3 h-index
8 publications
122 citations
University of California San Diego
San Diego, United States
2 h-index
5 publications
436 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
192 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
4 publications
384 citations

National Taiwan University
Taipei, Taiwan
2 h-index
4 publications
103 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
4 publications
76 citations
Middle East Technical University
Ankara, Türkiye
1 h-index
2 publications
134 citations
Tecnológico de Monterrey
Monterrey, Mexico
1 h-index
5 publications
145 citations
1–8 of 45
Repository · 3 publications · 268 citations
3
h-index
2 publications · 39 citations
2
h-index
1 publications · 211 citations
1
h-index
1 publications · 31 citations
1
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Conference · 1 publications · 10 citations
1
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1–5