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Conference Paper

Human-Aware Object Placement for Visual Environment Reconstruction

MPS-Authors
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Yi,  Hongwei
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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Tzionas,  Dimitrios
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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

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Hassan,  Mohamed
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Thies,  Justus       
Max Planck Research Group Neural Capture and Synthesis, 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/10.1109/CVPR52688.2022.00393
(Publisher version)

https://doi.org/10.48550/arXiv.2203.03609
(Preprint)

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Citation

Yi, H., Huang, C.-H.-P., Tzionas, D., Kocabas, M., Hassan, M., Tang, S., et al. (2022). Human-Aware Object Placement for Visual Environment Reconstruction. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (pp. 3949-3960). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.00393.


Cite as: https://hdl.handle.net/21.11116/0000-000D-0664-C
Abstract
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