Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow 
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Janai, Joel; Güney, Fatma; Wulff, Jonas; Black, Michael J.; Geiger, Andreas

doi:10.1109/CVPR.2017.154

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Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data

Janai, J., Güney, F., Wulff, J., Black, M. J., & Geiger, A. (2017). Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (pp. 1406-1416). Piscataway, NJ: IEEE. doi: 10.1109/CVPR.2017.154.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-FD13-E Version Permalink: https://hdl.handle.net/21.11116/0000-000A-ABE0-8

Genre: Conference Paper

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Creators:
Janai, Joel¹, Author
Güney, Fatma¹, Author
Wulff, Jonas², Author
Black, Michael J.², Author
Geiger, Andreas¹, Author

Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642

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Free keywords: Abt. Black; Forschungsgruppe Geiger

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Language(s): eng - English

Dates: Published Online: 2017-11-09Date issued: 2017

Publication Status: Issued

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Identifiers: BibTex Citekey: Janai2017CVPR
DOI: 10.1109/CVPR.2017.154

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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

Place of Event: Honolulu, HI

Start-/End Date: 2017-07-21 - 2017-07-26

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Title: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)

Source Genre: Proceedings

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Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1406 - 1416 Identifier: ISBN: 978-1-5386-0457-1
ISBN: 978-1-5386-0458-8
ISSN: 1063-6919
DOI: 10.1109/CVPR35066.2017