English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Capturing and Inferring Dense Full-Body Human-Scene Contact

MPS-Authors
/persons/resource/persons277648

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

/persons/resource/persons288947

Yi,  Hongwei
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons289125

Höschle,  Markus
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons289127

Safroshkin,  Matvey
Central Scientific Facility Optics and Sensing Laboratory, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons289129

Alexiadis,  Tsvetelina
Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons289131

Polikovsky,  Senya
Central Scientific Facility Optics and Sensing Laboratory, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons75293

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

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Huang, C.-H.-P., Yi, H., Höschle, M., Safroshkin, M., Alexiadis, T., Polikovsky, S., et al. (2022). Capturing and Inferring Dense Full-Body Human-Scene Contact. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) (pp. 13264-13275). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.01292.


Cite as: https://hdl.handle.net/21.11116/0000-000D-0AEC-F
Abstract
There is no abstract available