Semantic Normalization is a computational method within the field of problem representation that systematically reduces semantically equivalent but syntactically diverse expressions to a standardized form to facilitate consistent interpretation and comparison across problem instances.
36
Publications
2.1K
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127
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59
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2017–2026
17
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Publications
36
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization
2020 · 341 citations · Full text
Arts, Fine Arts, Computer Vision +14
Semantics Disentangling for Text-To-Image Generation
Guojun Yin, Bin Liu, Lu Sheng et al. · 2019 · 207 citations
1–5 of 36
Authors
127
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2
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1–5 of 127
Institutions
59
Chinese Academy of Sciences
Beijing, China
3 h-index
9 publications
921 citations
Peking University
Beijing, China
3 h-index
5 publications
107 citations
Universidad Politécnica de Madrid
Madrid, Spain
2 h-index
7 publications
96 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
7 publications
325 citations
University of California San Diego
San Diego, United States
2 h-index
4 publications
69 citations
Custodix (Belgium)
Sint-Martens-Latem, Belgium
2 h-index
4 publications
52 citations
University of Arizona
Tucson, United States
2 h-index
7 publications
207 citations
Oregon State University
Corvallis, United States
1 h-index
1 publications
30 citations
1–8 of 59
Venues
- PubMed
Repository · 2 publications · 29 citations
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- IEEE Journal of Biomedical and Health Informatics
1 publications · 16 citations
1
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- Neural Processing Letters
1 publications · 55 citations
1
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- Rare & Special e-Zone (The Hong Kong University of Science and Technology)
Repository · 1 publications · 10 citations
1
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- Journal of Biomedical Discovery and Collaboration
JBDC · 1 publications · 31 citations
1
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