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  Monocular Real-time Full Body Capture with Inter-part Correlations Computer Vision and Pattern Recognition

Zhou, Y., Habermann, M., Habibie, I., Tewari, A., Theobalt, C., & Xu, F. (in press). Monocular Real-time Full Body Capture with Inter-part Correlations Computer Vision and Pattern Recognition. In IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-892F-A Version Permalink: https://hdl.handle.net/21.11116/0000-0008-8984-8
Genre: Conference Paper

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Locator:
https://people.mpi-inf.mpg.de/~mhaberma/projects/2021-cvpr-full-body-capture/ (Abstract)
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 Creators:
Zhou, Yuxiao 1, Author
Habermann, Marc2, Author           
Habibie, Ikhsanul2, Author           
Tewari, Ayush2, Author           
Theobalt, Christian2, Author           
Xu, Feng1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society, ou_3311330              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Zhou_CVPR2021b
 Degree: -

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Title: 34th IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Virtual Conference
Start-/End Date: 2021-06-19 - 2021-06-25

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Project information

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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

Source 1

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2021
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -