Binary Mask Design
Binary Mask Design is a methodological framework in image processing and computer vision that employs a binary-valued spatial mask to selectively activate or suppress specific regions of an input signal, thereby enabling precise, discrete control over feature representation or data manipulation.
122
Publications
4.5K
Citations
445
Authors
168
Institutions
Publications per year
2017–2026
31
Parents
122
Mask-Guided Contrastive Attention Model for Person Re-identification
Chunfeng Song, Yan Huang, Wanli Ouyang et al. · 2018 · 699 citations
Image encryption using binary bitplane
Yicong Zhou, Weijia Cao, C. L. Philip Chen · Signal Processing · 2014 · 188 citations
1–5 of 122
445
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Centro de Investigación Científica y de Educación Superior de Ensenada, Mexico
3 publications · 46 citations
3
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Centro de Investigación Científica y de Educación Superior de Ensenada, Mexico
3 publications · 46 citations
3
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3
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3
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1–5 of 445
168
University of California, Berkeley
Berkeley, United States
4 h-index
8 publications
260 citations
Princeton University
Princeton, United States
3 h-index
7 publications
273 citations
The Ohio State University
Columbus, United States
3 h-index
4 publications
269 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
12 publications
223 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
11 publications
382 citations
The University of Texas at Dallas
Richardson, United States
2 h-index
3 publications
69 citations
Oticon Medical (Denmark)
Smorumnedre, Denmark
2 h-index
8 publications
844 citations

Institut National de la Recherche Scientifique
Québec, Canada
2 h-index
5 publications
154 citations
1–8 of 168
14 publications · 327 citations
11
h-index
7 publications · 235 citations
7
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7 publications · 253 citations
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JASA · 4 publications · 251 citations
4
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4 publications · 138 citations
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