Multimodal Context Recognition
Multimodal Context Recognition is a computational framework that integrates and analyzes data from multiple heterogeneous sensory modalities to infer high-level contextual states, distinguishing itself from unimodal approaches by leveraging complementary and cross-validated evidence across diverse input sources.
27
Publications
1.4K
Citations
113
Authors
35
Institutions
Publications per year
2017–2026
11
Parents
27
A novel context-aware multimodal framework for persian sentiment analysis
Kia Dashtipour, Mandar Gogate, Erik Cambria et al. · Neurocomputing · 2021 · 96 citations · Full text
1–5 of 27
113
German Research Centre for Artificial Intelligence, Germany
5 publications · 236 citations
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3
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2
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2
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1–5 of 113
35
ETH Zurich
Zurich, Switzerland
4 h-index
14 publications
540 citations

University of Passau
Passau, Germany
4 h-index
12 publications
577 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
88 citations
University of California San Diego
San Diego, United States
2 h-index
6 publications
384 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
276 citations

Kobe University
Kobe, Japan
2 h-index
6 publications
120 citations
Japan Science and Technology Agency
Tokyo, Japan
2 h-index
2 publications
40 citations
University of Oxford
Oxford, United Kingdom
1 h-index
3 publications
36 citations
1–8 of 35
IMWUT · 2 publications · 150 citations
2
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2 publications · 127 citations
2
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2 publications · 98 citations
2
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Repository · 1 publications · 48 citations
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TOG · 1 publications · 304 citations
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