Multimodal Recognition Fusion
Multimodal Recognition Fusion is a computational framework that integrates recognition outputs from multiple modality-specific models at a late stage to enhance overall decision accuracy by leveraging complementary information across modalities.
186
Publications
10.9K
Citations
755
Authors
308
Institutions
Publications per year
2017–2026
113
Parents
186
RGB-Infrared Cross-Modality Person Re-identification
Ancong Wu, Wei‐Shi Zheng, Hong-Xing Yu et al. · 2017 · 835 citations · Full text
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Chinese Academy of Sciences
Beijing, China
9 h-index
30 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
17 publications
728 citations
Wuhan University
Wuhan, China
7 h-index
16 publications
1.5K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
15 publications
641 citations

Sun Yat-sen University
Guangzhou, China
4 h-index
10 publications
3.8K citations

Zhejiang University
Hangzhou, China
4 h-index
9 publications
564 citations
National University of Singapore
Singapore, Singapore
4 h-index
10 publications
548 citations
Michigan State University
East Lansing, United States
3 h-index
8 publications
266 citations
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Repository · 9 publications · 256 citations
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6 publications · 271 citations
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5 publications · 258 citations
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TPAMI · 5 publications · 1.2K citations
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4 publications · 404 citations
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