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Conference Paper

Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation

MPS-Authors
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Fan,  Zicong
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

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Kocabas,  Muhammed
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;
External Organizations;

/persons/resource/persons75293

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

External Resource

https://doi.org/10.48550/arXiv.2107.00434
(Preprint)

https://doi.org/10.1109/3DV53792.2021.00011
(Publisher version)

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Citation

Fan, Z., Spurr, A., Kocabas, M., Tang, S., Black, M. J., & Hilliges, O. (2022). Learning To Disambiguate Strongly Interacting Hands via Probabilistic Per-Pixel Part Segmentation. In 2021 International Conference on 3D Vision (3DV 2021) (pp. 1-10). Piscataway, NJ: IEEE. doi:10.1109/3DV53792.2021.00011.


Cite as: https://hdl.handle.net/21.11116/0000-000A-EE4A-8
Abstract
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