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  Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Janai, J., Güney, F., Ranjan, A., Black, M. J., & Geiger, A. (2018). Unsupervised Learning of Multi-Frame Optical Flow with Occlusions. In V. Ferrari, H. Hebert, C. Sminchisescu, & Y. Waiss (Eds.), Computer Vision – ECCV 2018 (pp. 713-731). Cham: Springer. doi:10.1007/978-3-030-01270-0_42.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-7066-C Version Permalink: https://hdl.handle.net/21.11116/0000-0003-7067-B
Genre: Conference Paper

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 Creators:
Janai, Joel1, Author           
Güney, Fatma2, Author
Ranjan, Anurag3, Author           
Black, Michael J.3, Author           
Geiger, Andreas1, Author           
Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692              
2External Organizations, ou_persistent22              
3Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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Free keywords: Abt. Black; Forschungsgruppe Geiger
 Abstract: -

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Language(s): eng - English
 Dates: 2018-10-062018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Janai2018ECCV
DOI: 10.1007/978-3-030-01270-0_42
 Degree: -

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Title: 15th European Conference on Computer Vision (ECCV 2018)
Place of Event: Munich, Germany
Start-/End Date: 2018-09-08 - 2018-09-14

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Title: Computer Vision – ECCV 2018
Source Genre: Proceedings
 Creator(s):
Ferrari, V.1, Editor
Hebert, H.1, Editor
Sminchisescu, C.1, Editor
Waiss, Y.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Springer
Pages: - Volume / Issue: 16 Sequence Number: - Start / End Page: 713 - 731 Identifier: ISBN: 978-3-030-01269-4
ISBN: 978-3-030-01270-0
DOI: 10.1007/978-3-030-01270-0

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 11220 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743
ISSN: 1611-3349