Context Modeling
Context Modeling is a methodological framework in context-aware systems that formally represents and integrates situational, environmental, and user-centric variables to dynamically influence recommendation, interaction, or classification processes within conversational user interfaces and scene classification.
959
Publications
74.7K
Citations
2.7K
Authors
790
Institutions
Publications per year
2017–2026
227
959
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
Sixiao Zheng, Jiachen Lu, Hengshuang Zhao et al. · 2021 · 3.5K citations
Context-Aware Computing Applications
Bill N. Schilit, Norman I. Adams, Roy Want · 1994 · 3.2K citations
Deep Learning for Generic Object Detection: A Survey
Li Liu, Wanli Ouyang, Xiaogang Wang et al. · International Journal of Computer Vision · 2019 · 2.8K citations · Full text
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao, Jiarui Xu, Stephen Lin et al. · 2019 · 2.1K citations
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790

Western University
London, Canada
14 h-index
16 publications
880 citations
Carnegie Mellon University
Pittsburgh, United States
14 h-index
31 publications
2.6K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
41 publications
1.8K citations
Tsinghua University
Beijing, China
12 h-index
50 publications
3.5K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
33 publications
1.2K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
11 h-index
24 publications
3.5K citations
Massachusetts Institute of Technology
Cambridge, United States
10 h-index
21 publications
1.1K citations
Kyung Hee University
Seoul, South Korea
10 h-index
43 publications
6.9K citations
1–8 of 790
Repository · 26 publications · 1.9K citations
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17 publications · 4.2K citations
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13 publications · 1.8K citations
12
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TPAMI · 11 publications · 1.2K citations
11
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11 publications · 464 citations
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