PIRM2018 challenge on spectral image super-resolution: dataset and study Shoeiby, Mehrdad, Robles-Kelly, Antonio, Wei, Ran and Timofte, Radu 2018, PIRM2018 challenge on spectral image super-resolution: dataset and study, in ECCV 2018 : Proceedings of the European Conference on Computer Vision 2018, Springer, Cham, Switzerland, pp. 1-17, doi: 10.1007/978-3-030-11021-5_18. Attached Files Name Description MIMEType Size Downloads Title PIRM2018 challenge on spectral image super-resolution: dataset and study Author(s) Shoeiby, Mehrdad Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971 Wei, Ran Timofte, Radu Conference name Computer Vision Foundation. Conference (2018 : Munich, Germany) Conference location Munich, Germany Conference dates 2018/09/08 - 2018/09/14 Title of proceedings ECCV 2018 : Proceedings of the European Conference on Computer Vision 2018 Editor(s) Leal-Taixé, Laura Roth, Stefan Publication date 2018 Series Computer Vision Foundation Conference Start page 1 End page 17 Total pages 17 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Super-resolution Hyperspectral Multispectral RGB Stereo ISBN 978-3-030-11021-5 Language eng DOI 10.1007/978-3-030-11021-5_18 Field of Research 08 Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2019, Springer Nature Switzerland AG Persistent URL http://hdl.handle.net/10536/DRO/DU:30120293 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 01 Apr 2019, 13:55:10 EST Tue, 02 Apr 2019, 04:01:04 EST Tue, 02 Apr 2019, 05:04:56 EST Wed, 10 Apr 2019, 08:56:37 EST Wed, 10 Apr 2019, 08:57:34 EST Wed, 10 Apr 2019, 09:01:04 EST Wed, 10 Apr 2019, 09:01:58 EST Sat, 09 Jan 2021, 01:35:32 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 164 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 01 Apr 2019, 13:55:10 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.