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  HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching

Bernard, F., Thunberg, J., Swoboda, P., & Theobalt, C. (2019). HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching. In International Conference on Computer Vision (pp. 10283-10292). Piscataway, NJ: IEEE. doi:10.1109/ICCV.2019.01038.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-DC81-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-BCEB-C
Genre: Conference Paper
Latex : {HiPPI}: {H}igher-Order Projected Power Iterations for Scalable Multi-Matching

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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:
Bernard, Florian1, Author           
Thunberg, Johan2, Author
Swoboda, Paul3, Author           
Theobalt, Christian1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              
3Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2019-04-1720192019
 Publication Status: Issued
 Pages: 16 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Bernard_ICCV2019
DOI: 10.1109/ICCV.2019.01038
 Degree: -

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Title: International Conference on Computer Vision
Place of Event: Seoul, Korea
Start-/End Date: 2019-10-27 - 2019-11-02

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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: International Conference on Computer Vision
  Abbreviation : ICCV 2019
  Subtitle : Proceedings
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 10283 - 10292 Identifier: ISBN: 978-1-7281-4803-8