Visual Scene Understanding is a computational framework that enables assistive vision systems to interpret and reason about the spatial layout, objects, and their semantic relationships within an image or video scene in order to support visually impaired users in navigating and interacting with their environment.
1.5K
Publications
156.9K
Citations
4.6K
Authors
1.2K
Institutions
Publications per year
2017–2026
740
Parents
Publications
1.5K
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos et al. · 2016 · 11.9K citations
Long-term recurrent convolutional networks for visual recognition and description
Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama et al. · 2015 · 5.3K citations
3D ShapeNets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla et al. · 2015 · 4.7K citations · Full text
Deep Reinforcement Learning: A Brief Survey
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage et al. · IEEE Signal Processing Magazine · 2017 · 4.3K citations
3D Object Representations for Fine-Grained Categorization
Jonathan Krause, Michael Stark, Jia Deng et al. · 2013 · 3.4K citations
1–5 of 1.5K
Authors
4.6K
- KY
11
h-index
- SZ
10
h-index
- KW
10
h-index
- AG
9
h-index
- LV
9
h-index
1–5 of 4.6K
Institutions
1.2K
Carnegie Mellon University
Pittsburgh, United States
29 h-index
89 publications
10.6K citations
Massachusetts Institute of Technology
Cambridge, United States
24 h-index
78 publications
29.7K citations
Centre National de la Recherche Scientifique
Paris, France
21 h-index
91 publications
5.9K citations
Stanford University
Stanford, United States
21 h-index
56 publications
18.8K citations
Chinese Academy of Sciences
Beijing, China
20 h-index
62 publications
9.3K citations
Tsinghua University
Beijing, China
19 h-index
45 publications
5.8K citations
Zhejiang University
Hangzhou, China
19 h-index
83 publications
3.9K citations
University of Washington
Seattle, United States
18 h-index
47 publications
3.7K citations
1–8 of 1.2K
Venues
- Proceedings of the National Academy of Sciences
PNAS · 121 publications · 8.7K citations
51
h-index
- arXiv (Cornell University)
Repository · 134 publications · 12.3K citations
45
h-index
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 35 publications · 6.6K citations
27
h-index
- Proceedings of the AAAI Conference on Artificial Intelligence
Conference · 18 publications · 1.5K citations
17
h-index
- IEEE Transactions on Image Processing
20 publications · 3.7K citations
17
h-index
1–5