Cited by 313D Shape Modeling and AnalysisAdvanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Complete 3D Scene Parsing from an RGBD Image

Open access
Zou, Chuhang, Guo, Ruiqi, Li, Zhizhong, Hoiem, Derek·2019·International Journal of Computer Vision

Integrity signals

Registry

Crossref · 10.1007/s11263-018-1133-z

Cites

53 of 53 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • Many different methods are available, such as soft correspondences and 3D scene analysis from RGB-D data, to ensure dense and accurate scene parsing of indoor and outdoor environments.

    “Many different methods are available, such as soft correspondences [94], 3D scene analysis from RGB-D data [95], to ensure dense and accurate scene parsing of indoor and outdoor environments.”

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Authors
Zou, C., Guo, R., Li, Z., & Hoiem, D.
Affiliations
  • University of Illinois Urbana-Champaign (US)
  • Google (United States) (US)
Corresponding author
Zou, Chuhang
Venue
International Journal of Computer Vision
Published
2018-11-21
Volume
127
Issue
2
Pages
143-162
ISSN
  • 0920-5691 (ISSN-L)
  • 1573-1405
OpenAlex
W2742847802
Cited by
31
References
53
Citations by year
2025: 3 · 2024: 3 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 8 · 2019: 2 · 2018: 2
FWCI
3.06
Type
journal article
Language
en
Open access
Locations
  • International Journal of Computer Vision (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
ONR MURI (N000141010934, N000141612007)
Topics
  • Physical Sciences › Engineering › Computational Mechanics › 3D Shape Modeling and Analysis
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
Keywords
RGBD images, indoor scene understanding, object segmentation, occlusion handling, 3D model retrieval, spatial consistency, visual reasoning

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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