Image-Based Trend Forecasting is a method within the field of fashion trend forecasting that utilizes visual data and image analysis techniques to identify, interpret, and predict emerging stylistic patterns and consumer preferences in apparel and accessories.
7
Publications
435
Citations
21
Authors
17
Institutions
Publications per year
2017–2026
7
Parents
Publications
7
1–5 of 7
Authors
21
- KG
2
h-index
- RS
2
h-index
- ZA
2
h-index
- GS
1
h-index
- PY
1
h-index
1–5 of 21
Institutions
17
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
4 publications
384 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
192 citations
University of Verona
Verona, Italy
1 h-index
4 publications
92 citations
CFA Institute
Charlottesville, United States
1 h-index
1 publications
129 citations
North Carolina State University
Raleigh, United States
1 h-index
3 publications
78 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
129 citations
Amirkabir University of Technology
Tehran, Iran
1 h-index
2 publications
42 citations
Cornell University
Ithaca, United States
1 h-index
4 publications
176 citations
1–8 of 17
Venues
- The Journal of Finance
1 publications · 129 citations
1
h-index
- arXiv (Cornell University)
Repository · 1 publications · 24 citations
1
h-index
- International Journal of Fashion Design Technology and Education
1 publications · 26 citations
1
h-index
- Applied Soft Computing
1 publications · 21 citations
1
h-index
- Textile Research Journal
1 publications · 44 citations
1
h-index
1–5