DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies

Shimada, Soshi; Golyanik, Vladislav; Tretschk, Edgar; Stricker, Didier; Theobalt, Christian

doi:10.1109/3DV.2019.00013

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DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies

Shimada, S., Golyanik, V., Tretschk, E., Stricker, D., & Theobalt, C. (2019). DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies. In International Conference on 3D Vision (pp. 27-36). Piscataway, NJ: IEEE. doi:10.1109/3DV.2019.00013.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-7B48-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-7B50-7

Genre: Conference Paper

Latex : {DispVoxNets}: {N}on-Rigid Point Set Alignment with Supervised Learning Proxies

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Creators:
Shimada, Soshi¹, Author
Golyanik, Vladislav², Author
Tretschk, Edgar¹, Author
Stricker, Didier¹, Author
Theobalt, Christian², 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: Published Online: 2019Date issued: 2019

Publication Status: Issued

Pages: -

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Identifiers: DOI: 10.1109/3DV.2019.00013
BibTex Citekey: Shimada_3DV2019

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Title: International Conference on 3D Vision

Place of Event: Québec City, Canada

Start-/End Date: 2019-09-16 - 2019-09-19

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Title: International Conference on 3D Vision

Abbreviation : 3DV 2019

Subtitle : Proceedings

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 27 - 36 Identifier: ISBN: 978-1-7281-3131-3