Jittering Techniques
Jittering Techniques is a data visualization method that involves the intentional addition of small amounts of random noise to data points in a scatterplot matrix to mitigate overplotting and reveal underlying patterns in discrete or highly collinear data.
44
Publications
1.8K
Citations
183
Authors
101
Institutions
Publications per year
2017–2026
19
Parents
44
ADNet: Attention-guided Deformable Convolutional Network for High Dynamic Range Imaging
Zhen Liu, Wenjie Lin, Xinpeng Li et al. · 2021 · 103 citations
1–5 of 44
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Institut national de recherche en sciences et technologies du numérique, France
2 publications · 313 citations
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1
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1–5 of 183
101
Tsinghua University
Beijing, China
3 h-index
6 publications
268 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
5 publications
636 citations

South China University of Technology
Guangzhou, China
2 h-index
5 publications
452 citations

University of Oulu
Oulu, Finland
2 h-index
4 publications
122 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
6 publications
86 citations

TU Wien
Vienna, Austria
2 h-index
6 publications
200 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
8 publications
103 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
2 publications
122 citations
1–8 of 101
3 publications · 79 citations
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2 publications · 50 citations
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TOG · 2 publications · 310 citations
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2 publications · 185 citations
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1 publications · 15 citations
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