Multimodal Corpus Compilation
Multimodal Corpus Compilation is the systematic process of collecting, organizing, and synchronizing heterogeneous data streams—such as text, audio, video, and physiological signals—into a unified digital repository that enables integrated analysis of multimodal interaction and communication.
97
Publications
5K
Citations
401
Authors
154
Institutions
Publications per year
2017–2026
31
Parents
97
Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database
F. de la Torre, Jessica K. Hodgins, Adam W. Bargteil et al. · Figshare · 2018 · 238 citations · Full text
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen et al. · 2023 · 210 citations
1–5 of 97
401
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154
Laboratoire d'Informatique de Grenoble
Grenoble, France
7 h-index
17 publications
514 citations
Ludwig-Maximilians-Universität München
Munich, Germany
4 h-index
7 publications
393 citations
Bielefeld University
Bielefeld, Germany
3 h-index
6 publications
253 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
12 publications
245 citations

Trinity College Dublin
Dublin, Ireland
3 h-index
4 publications
128 citations

University of Nottingham
Nottingham, United Kingdom
3 h-index
4 publications
151 citations
Laboratoire de Linguistique et Didactique des Langues Etrangères et Maternelles
Grenoble, France
3 h-index
3 publications
142 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
9 publications
209 citations
1–8 of 154
IJCL · 3 publications · 65 citations
3
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3 publications · 117 citations
3
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3 publications · 427 citations
3
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2 publications · 51 citations
2
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TAC · 2 publications · 165 citations
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