Early Fusion
Early Fusion is a data fusion strategy in sensor and multimodal processing that integrates raw measurements or low-level features from multiple sensors into a single joint representation at the input or early feature-extraction stage, prior to subsequent higher-level inference or decision-making.
129
Publications
10.1K
Citations
534
Authors
206
Institutions
Publications per year
2017–2026
93
129
Early versus late fusion in semantic video analysis
Cees G. M. Snoek, Marcel Worring, A.W.M. Smeulders · 2005 · 857 citations · Full text
Learning Deep Representations of Appearance and Motion for Anomalous Event Detection
Dan Xu, Elisa Ricci, Yan Yan et al. · 2015 · 541 citations · Full text
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206
INESC TEC
Porto, Portugal
3 h-index
6 publications
158 citations
Information Technologies Institute
Thessaloniki, Greece
3 h-index
12 publications
521 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
246 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
152 citations
University of Bremen
Bremen, Germany
2 h-index
5 publications
715 citations
University of Chinese Academy of Sciences
Beijing, China
2 h-index
5 publications
342 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
7 publications
263 citations
Orange (France)
Paris, France
2 h-index
3 publications
112 citations
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Repository · 6 publications · 138 citations
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6 publications · 601 citations
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5 publications · 267 citations
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3 publications · 365 citations
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3 publications · 156 citations
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