Multimodal Pattern Analysis
Multimodal Pattern Analysis is a systematic analytical approach that identifies, interprets, and models recurring structural or functional relationships across diverse modalities—such as linguistic, visual, auditory, and gestural data—within a multimodal corpus, distinguishing itself from unimodal or single-channel pattern detection by explicitly accounting for cross-modal interactions and integrative meaning-making.
43
Publications
1.4K
Citations
156
Authors
95
Institutions
Publications per year
2017–2026
26
Parents
43
Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs
Bin Liang, Chenwei Lou, Xiang Li et al. · 2021 · 115 citations
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
6 publications
212 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
344 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
6 publications
225 citations
Columbia University
New York, United States
2 h-index
5 publications
71 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
284 citations
Tianjin University
Tianjin, China
2 h-index
6 publications
200 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
7 publications
800 citations
RWTH Aachen University
Aachen, Germany
2 h-index
4 publications
348 citations
1–8 of 95
1 publications · 41 citations
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1 publications · 20 citations
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1 publications · 26 citations
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1 publications · 34 citations
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TOMCCAP · 1 publications · 24 citations
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