Multi-View Occlusion Modeling is a computational framework that characterizes and infers occluded regions in 3D scenes by integrating visibility constraints and geometric consistency across multiple2D views to reconstruct obscured structures more accurately than single-view approaches.
34
Publications
3.4K
Citations
108
Authors
58
Institutions
Publications per year
2017–2026
10
Parents
Publications
34
1–5 of 34
Authors
108
- KN
2
h-index
- JS
2
h-index
- ST
2
h-index
- SM
2
h-index
- ZW
2
h-index
1–5 of 108
Institutions
58
Carnegie Mellon University
Pittsburgh, United States
5 h-index
8 publications
1.9K citations
Monash University
Melbourne, Australia
2 h-index
3 publications
403 citations
University of Rochester
Rochester, United States
2 h-index
2 publications
1.6K citations
University of California San Diego
San Diego, United States
2 h-index
2 publications
215 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
421 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
6 publications
192 citations
The University of Sydney
Sydney, Australia
2 h-index
4 publications
311 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
2 publications
66 citations
1–8 of 58
Venues
- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 3 publications · 568 citations
3
h-index
- IEEE Transactions on Image Processing
3 publications · 178 citations
3
h-index
- International Journal of Computer Vision
2 publications · 1.3K citations
2
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 1 publications · 191 citations
1
h-index
- Optics Express
1 publications · 11 citations
1
h-index
1–5