Semantic Scene Understanding
Semantic Scene Understanding is a computational framework that enables augmented reality systems to interpret and represent environmental scenes by identifying objects, their spatial relationships, and functional meanings within a given context.
955
Publications
96.9K
Citations
3.1K
Authors
785
Institutions
Publications per year
2017–2026
622
955
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos et al. · 2016 · 11.9K citations
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
Angela Dai, Manolis Savva, Maciej Halber et al. · 2017 · 4K citations
Grigorios Tsoumakas, Ioannis Katakis · International Journal of Data Warehousing and Mining · 2007 · 2.5K citations
3D Semantic Parsing of Large-Scale Indoor Spaces
Iro Armeni, Ozan Şener, Amir Zamir et al. · 2016 · 1.9K citations · Full text
1–5 of 955
3.1K
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12
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Massachusetts Institute of Technology, United States
12 publications · 7.2K citations
12
h-index
1–5 of 3.1K
785
Stanford University
Stanford, United States
22 h-index
68 publications
22.4K citations
Technical University of Munich
Munich, Germany
21 h-index
77 publications
7.5K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
71 publications
4.6K citations

Zhejiang University
Hangzhou, China
17 h-index
64 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
17 h-index
41 publications
2.8K citations
ETH Zurich
Zurich, Switzerland
17 h-index
74 publications
10.8K citations
Google (United States)
Mountain View, United States
17 h-index
48 publications
6.6K citations
Tsinghua University
Beijing, China
16 h-index
44 publications
3K citations
1–8 of 785
Repository · 88 publications · 6.5K citations
33
h-index
21 publications · 1.4K citations
19
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TPAMI · 17 publications · 6.9K citations
15
h-index
17 publications · 1.1K citations
15
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14 publications · 621 citations
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