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

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.

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Genre: Conference Paper
Latex : {HandVoxNet}: {D}eep Voxel-Based Network for {3D} Hand Shape and Pose Estimation From a Single Depth Map

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2004.01588.pdf (Preprint), 3MB
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© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
Malik, Jameel1, Author
Abdelaziz, Ibrahim1, Author
Elhayek, Ahmed1, Author           
Shimada, Soshi2, Author           
Ali, Sk Aziz1, Author
Golyanik, Vladislav2, Author           
Theobalt, Christian2, Author           
Stricker, Didier1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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Language(s): eng - English
 Dates: 20202020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Malik_CVPR2020
DOI: 10.1109/CVPR42600.2020.00714
 Degree: -

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Title: 33rd IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Seattle, WA, USA (Virtual)
Start-/End Date: 2020-06-14 - 2020-06-19

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Project name : 4DRepLy
Grant ID : 770784
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2020
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7111 - 7120 Identifier: ISBN: 978-1-7281-7168-5