Multimodal Feature Fusion
Multimodal Feature Fusion is a feature-level fusion technique that integrates complementary representations from multiple modalities into a unified feature space through joint transformation and alignment to enhance discriminative capability in multimodal analysis.
2.5K
Publications
164.8K
Citations
9.3K
Authors
1.9K
Institutions
Publications per year
2017–2026
2K
Variants
Multimodal Feature Integration
Parents
2.5K
Jiquan Ngiam, Aditya Khosla, Mingyu Kim et al. · 2011 · 2.3K citations
Joint 3D Proposal Generation and Object Detection from View Aggregation
Jason S. Ku, Melissa Mozifian, Jungwook Lee et al. · 2018 · 1.7K citations
Multimodal fusion for multimedia analysis: a survey
Pradeep K. Atrey, M. Anwar Hossain, Abdulmotaleb El Saddik et al. · Multimedia Systems · 2010 · 1.2K citations
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Chinese Academy of Sciences
Beijing, China
52 h-index
348 publications
27.6K citations
University of Chinese Academy of Sciences
Beijing, China
39 h-index
162 publications
12.7K citations

Xidian University
Xi'an, China
36 h-index
209 publications
15.9K citations
Nanyang Technological University
Singapore, Singapore
36 h-index
105 publications
11K citations
University of Science and Technology of China
Hefei, China
31 h-index
141 publications
9.2K citations
Tsinghua University
Beijing, China
31 h-index
111 publications
9.9K citations

Shanghai Jiao Tong University
Shanghai, China
29 h-index
87 publications
8.6K citations

Peking University
Beijing, China
28 h-index
95 publications
7.2K citations
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59 publications · 5.8K citations
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97 publications · 5.2K citations
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58 publications · 4K citations
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53 publications · 4K citations
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42 publications · 4.5K citations
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