In Defense of Shallow Learned Spectral Reconstruction From RGB Images
dc.contributor.author
Aeschbacher, Jonas
dc.contributor.author
Wu, Jiqing
dc.contributor.author
Timofte, Radu
dc.date.accessioned
2018-02-19T17:00:40Z
dc.date.available
2018-01-26T11:53:56Z
dc.date.available
2018-02-19T17:00:40Z
dc.date.issued
2017
dc.identifier.isbn
978-1-5386-1034-3
en_US
dc.identifier.isbn
978-1-5386-1035-0
en_US
dc.identifier.other
10.1109/ICCVW.2017.63
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/235164
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
In Defense of Shallow Learned Spectral Reconstruction From RGB Images
en_US
dc.type
Conference Paper
dc.date.published
2018-01-23
ethz.book.title
2017 IEEE International Conference on Computer Vision Workshop (ICCVW)
en_US
ethz.pages.start
471
en_US
ethz.pages.end
479
en_US
ethz.event
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
en_US
ethz.event.location
Venice, Italy
en_US
ethz.event.date
October 22-29, 2017
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03514 - Van Gool, Luc / Van Gool, Luc
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::03514 - Van Gool, Luc / Van Gool, Luc
en_US
ethz.date.deposited
2018-01-26T11:53:57Z
ethz.source
FORM
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yes
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ethz.availability
Metadata only
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ethz.rosetta.installDate
2018-02-19T17:00:43Z
ethz.rosetta.lastUpdated
2018-11-06T10:15:10Z
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true
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Conference Paper [35177]