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Conference Paper

AGORA: Avatars in Geography Optimized for Regression Analysis

MPS-Authors
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Patel,  Priyanka
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Huang,  Chun-Hao P.
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Tesch,  Joachim
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons277652

Tripathi,  Shashank
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Black,  Michael J.
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

https://doi.org/10.48550/arXiv.2104.14643
(Preprint)

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Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-000A-EFEF-D
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