Contextual Object Recognition
Contextual Object Recognition is a context-aware computational method that identifies and interprets objects within an augmented reality environment by integrating spatial, temporal, and semantic cues to disambiguate and enhance object detection based on situational relevance.
79
Publications
7.4K
Citations
234
Authors
124
Institutions
Publications per year
2017–2026
24
79
Recurrent convolutional neural network for object recognition
Ming Liang, Xiaolin Hu · 2015 · 1K citations
Context-based vision system for place and object recognition
Torralba, Murphy Murphy, Freeman · 2003 · 883 citations · Full text
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124
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
6 publications
596 citations
Jingdong (China)
Beijing, China
3 h-index
10 publications
538 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
3 h-index
5 publications
2.8K citations
University of California San Diego
San Diego, United States
3 h-index
6 publications
2.2K citations
Google (United States)
Mountain View, United States
2 h-index
2 publications
24 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
2 h-index
8 publications
944 citations
Inserm
Paris, France
2 h-index
2 publications
166 citations
Joanneum Research
Graz, Austria
2 h-index
4 publications
89 citations
1–8 of 124
TPAMI · 7 publications · 582 citations
7
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Repository · 4 publications · 125 citations
4
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2 publications · 116 citations
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Conference · 2 publications · 77 citations
2
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Repository · 1 publications · 10 citations
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