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  AGORA: Avatars in Geography Optimized for Regression Analysis

Patel, P., Huang, C.-H.-P., Tesch, J., Hoffmann, D. T., Tripathi, S., & Black, M. J. (2021). AGORA: Avatars in Geography Optimized for Regression Analysis. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) (pp. 13463-13473). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.01326.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-EFEF-D Version Permalink: https://hdl.handle.net/21.11116/0000-000A-EFF0-A
Genre: Conference Paper

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Locator:
https://doi.org/10.48550/arXiv.2104.14643 (Preprint)
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 Creators:
Patel, Priyanka1, Author           
Huang, Chun-Hao P.1, Author           
Tesch, Joachim1, Author           
Hoffmann, David T.2, Author
Tripathi, Shashank1, Author           
Black, Michael J.1, Author           
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2021-11-022021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Patel:CVPR:2021
DOI: 10.1109/CVPR46437.2021.01326
arXiv: 2104.14643
 Degree: -

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)
Place of Event: Virtual
Start-/End Date: 2021-06-19 - 2021-06-25

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Title: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 13463 - 13473 Identifier: ISBN: 978-1-6654-4510-8
ISBN: 978-1-6654-4509-2
ISSN: 1063-6919
ISSN: 2575-7075
DOI: 10.1109/CVPR46437.2021