English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map

MPS-Authors
/persons/resource/persons255947

Shimada,  Soshi
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons239654

Golyanik,  Vladislav
Computer Graphics, MPI for Informatics, Max Planck Society;

/persons/resource/persons45610

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

2004.01588.pdf
(Preprint), 3MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Malik, J., Abdelaziz, I., Elhayek, A., Shimada, S., Ali, S. A., Golyanik, V., et al. (2020). HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 7111-7120). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00714.


Cite as: https://hdl.handle.net/21.11116/0000-0007-CFCA-D
Abstract
There is no abstract available