Occlusion boundary detection via deep exploration of context

Fu, Huang; Wang, Chaohui; Tao, Dacheng; Black, Michael J.

doi:10.1109/CVPR.2016.33

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Occlusion boundary detection via deep exploration of context

Fu, H., Wang, C., Tao, D., & Black, M. J. (2016). Occlusion boundary detection via deep exploration of context. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) (pp. 241-250). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2016.33.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-19B7-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-ABF3-3

Genre: Conference Paper

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Creators:
Fu, Huang¹, Author
Wang, Chaohui¹, Author
Tao, Dacheng¹, 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

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Language(s): eng - English

Dates: Published Online: 2016-12-12Date issued: 2016

Publication Status: Issued

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Identifiers: BibTex Citekey: Fu:CVPR:2016
DOI: 10.1109/CVPR.2016.33

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016)

Place of Event: Las Vegas, USA

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

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 241 - 250 Identifier: ISBN: 978-1-4673-8851-1
ISSN: 1063-6919
ISBN: 978-1-4673-8852-8
DOI: 10.1109/CVPR33180.2016