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  Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks

Jampani, V., Kiefel, M., & Gehler, P. (2016). Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks. In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) (pp. 4452-4461). New York, NY, USA: IEEE. doi:10.1109/CVPR.2016.482.

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 Creators:
Jampani, Varun1, Author              
Kiefel, Martin2, Author              
Gehler, Peter1, Author              
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Black
 Abstract: -

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 Dates: 2016-12
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: jampani:cvpr:2016
DOI: 10.1109/CVPR.2016.482
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Title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Place of Event: Las Vegas, USA
Start-/End Date: 2016-06-27 - 2016-06-30

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Title: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Source Genre: Proceedings
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Publ. Info: New York, NY, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 4452 - 4461 Identifier: ISSN: 1063-6919
ISBN: 978-1-4673-8851-1