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  Video segmentation via object flow

Tsai, Y.-H., Yang, M.-H., & Black, M. J. (2016). Video segmentation via object flow. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (pp. 3899-3908). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2016.423.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-1989-C Version Permalink: https://hdl.handle.net/21.11116/0000-000A-ABFF-7
Genre: Conference Paper

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 Creators:
Tsai, Yi-Hsuan1, Author
Yang, Ming-Hsuan1, Author
Black, Michael J.2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black
 Abstract: -

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Language(s): eng - English
 Dates: 2016-12-122016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Tsai:CVPR:2016
DOI: 10.1109/CVPR.2016.423
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)
Place of Event: Las Vegas, NV
Start-/End Date: 2016-06-27 - 2016-06-30

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Title: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3899 - 3908 Identifier: ISBN: 978-1-4673-8851-1
ISSN: 1063-6919
ISBN: 978-1-4673-8852-8
DOI: 10.1109/CVPR33180.2016