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  Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images

Zuffi, S., Kanazawa, A., & Black, M. J. (2018). Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018) (pp. 3955-3963). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2018.00416.

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Genre: Conference Paper

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 Creators:
Zuffi, Silvia1, Author
Kanazawa, Angjoo1, Author
Black, Michael J.2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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 Dates: 2018-12-172018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Zuffi:CVPR:2018
DOI: 10.1109/CVPR.2018.00416
 Degree: -

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)
Place of Event: Salt Lake City, UT, USA
Start-/End Date: 2018-06-18 - 2018-06-23

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Title: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3955 - 3963 Identifier: ISBN: 978-1-5386-6420-9
ISBN: 978-1-5386-6421-6
ISSN: 2575-7075
ISSN: 1063-6919
DOI: 10.1109/CVPR40276.2018