Visual Commonsense Reasoning
Visual Commonsense Reasoning is a computational framework in the domain of Visual Question Answering that integrates perceptual understanding with background knowledge to infer plausible, human-like inferences about visual scenes by reasoning beyond observable content to encompass implicit, everyday knowledge.
85
Publications
8.3K
Citations
317
Authors
93
Institutions
Publications per year
2017–2026
70
Variants
Vcr
85
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su, Xizhou Zhu, Yue Cao et al. · arXiv (Cornell University) · 2019 · 785 citations · Full text
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Microsoft Research (United Kingdom)
Cambridge, United Kingdom
5 h-index
18 publications
5K citations

Sun Yat-sen University
Guangzhou, China
4 h-index
14 publications
547 citations

Peking University
Beijing, China
4 h-index
13 publications
2K citations
University of Maryland, College Park
College Park, United States
4 h-index
7 publications
397 citations
Allen Institute for Artificial Intelligence
Seattle, United States
4 h-index
11 publications
303 citations
Microsoft (United States)
Redmond, United States
4 h-index
11 publications
1.9K citations
University of Washington
Seattle, United States
4 h-index
10 publications
404 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
4 publications
238 citations
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Repository · 23 publications · 3.7K citations
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Conference · 8 publications · 1.2K citations
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Conference · 4 publications · 997 citations
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2 publications · 44 citations
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Repository · 1 publications · 29 citations
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