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  A Quantum Computational Approach to Correspondence Problems on Point Sets

Golyanik, V., & Theobalt, C. (2020). A Quantum Computational Approach to Correspondence Problems on Point Sets. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9179-9188). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00920.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0007-D053-0 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-323C-7
Genre: Conference Paper

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1912.12296.pdf (Preprint), 2MB
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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:
Golyanik, Vladislav1, Author           
Theobalt, Christian1, Author                 
Affiliations:
1Computer 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: Golyanik_CVPR2020
DOI: 10.1109/CVPR42600.2020.00920
 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: 9179 - 9188 Identifier: ISBN: 978-1-7281-7168-5