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  2D Human Pose Estimation: New Benchmark and State of the Art Analysis

Andriluka, M., Pishchulin, L., Gehler, P., & Schiele, B. (2014). 2D Human Pose Estimation: New Benchmark and State of the Art Analysis. In 2014 IEEE Conference on Computer Vision and Pattern Recognition (pp. 3689-3693). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2014.471.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0019-870A-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-9FEB-2
Genre: Conference Paper
Latex : {2D} Human Pose Estimation: {New} Benchmark and State of the Art Analysis

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 Creators:
Andriluka, Mykhaylo1, Author           
Pishchulin, Leonid1, Author           
Gehler, Peter2, Author           
Schiele, Bernt1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2014-03-0120142014
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 853
DOI: 10.1109/CVPR.2014.471
 Degree: -

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Title: 2014 IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Columbus, OH, USA
Start-/End Date: 2014-06-24 - 2014-06-27

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Title: 2014 IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2014
  Subtitle : Proceedings; 23–28 June 2014, Columbus, Ohio
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3689 - 3693 Identifier: ISBN: 978-1-4799-5117-8