User Annotation
User Annotation is a scholarly contribution in the domain of Open Educational Resource Curation that consists of a discrete, user-generated commentary, markup, or metadata applied to a specific resource or text segment, distinguishing it from other forms of curation by its situated, interpretive, and often interactive engagement with the content at the point of use.
142
Publications
7.1K
Citations
434
Authors
161
Institutions
Publications per year
2017–2026
27
142
Utility data annotation with Amazon Mechanical Turk
Alexander Sorokin, David Forsyth · 2008 · 625 citations
Discovery of activity patterns using topic models
Tâm Huỳnh, Mario Fritz, Bernt Schiele · 2008 · 444 citations
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi‐Hsin Chen, Wei‐Yu Chen, Yu-Ting Chen et al. · 2017 · 370 citations
Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning
Yuhua Chen, Jordi Pont-Tuset, Alberto Montes et al. · 2018 · 273 citations
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434
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3
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161
Microsoft (United States)
Redmond, United States
8 h-index
17 publications
1.1K citations
University of Kairouan
Kairouan, Tunisia
5 h-index
12 publications
151 citations
University of Sfax
Sfax, Tunisia
5 h-index
9 publications
117 citations
University of Washington
Seattle, United States
4 h-index
5 publications
363 citations
Google (United States)
Mountain View, United States
4 h-index
12 publications
460 citations
Mitsubishi Electric (United States)
Cypress, United States
4 h-index
18 publications
2K citations
University of Michigan
Ann Arbor, United States
3 h-index
4 publications
150 citations

Cornell University
Ithaca, United States
3 h-index
8 publications
317 citations
1–8 of 161
Repository · 6 publications · 114 citations
6
h-index
2 publications · 83 citations
2
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2 publications · 40 citations
2
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TOG · 2 publications · 206 citations
2
h-index
2 publications · 253 citations
2
h-index
1–5