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Conference Paper

In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations

MPS-Authors
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Habibie,  Ikhsanul
Computer Graphics, MPI for Informatics, Max Planck Society;

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Xu,  Weipeng
Computer Graphics, MPI for Informatics, Max Planck Society;

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Mehta,  Dushyant
Computer Graphics, MPI for Informatics, Max Planck Society;

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Pons-Moll,  Gerard
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Theobalt,  Christian
Computer Graphics, MPI for Informatics, Max Planck Society;

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Fulltext (public)

1904.03289
(Preprint), 4MB

Supplementary Material (public)
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Citation

Habibie, I., Xu, W., Mehta, D., Pons-Moll, G., & Theobalt, C. (2019). In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10897-10906). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.01116.


Cite as: http://hdl.handle.net/21.11116/0000-0003-6520-7
Abstract
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