PIRM2018 challenge on spectral image super-resolution: methods and results

Shoeiby, Mehrdad, Robles-Kelly, Antonio, Timofte, Radu, Zhou, Ruofan, Lahoud, Fayez, Süsstrunk, Sabine, Xiong, Zhiwei, Shi, Zhan, Chen, Chang, Liu, Dong, Zha, Zheng-Jun, Wu, Feng, Wei, Kaixuan, Zhang, Tao, Wang, Lizhi, Fu, Ying, Nagasubramanian, Koushik, Singh, Asheesh K, Singh, Arti, Sarkar, Soumik and Ganapathysubramanian, Baskar 2019, PIRM2018 challenge on spectral image super-resolution: methods and results, in ECCV 2018 : Proceedings of the European Conference on Computer Vision, Springer, Cham, Switzerland, pp. 356-371, doi: 10.1007/978-3-030-11021-5_22.

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Title PIRM2018 challenge on spectral image super-resolution: methods and results
Author(s) Shoeiby, Mehrdad
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Timofte, Radu
Zhou, Ruofan
Lahoud, Fayez
Süsstrunk, Sabine
Xiong, Zhiwei
Shi, Zhan
Chen, Chang
Liu, Dong
Zha, Zheng-Jun
Wu, Feng
Wei, Kaixuan
Zhang, Tao
Wang, Lizhi
Fu, Ying
Nagasubramanian, Koushik
Singh, Asheesh K
Singh, Arti
Sarkar, Soumik
Ganapathysubramanian, Baskar
Conference name Computer Vision. Workshops (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
Editor(s) Leal-Taixé, Laura
Roth, Stefan
Publication date 2019
Series Computer Vision Workshops
Start page 356
End page 371
Total pages 16
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Super-resolution
Multispectral
Hyperspectral
RGB
Stereo
ISBN 978-3-030-11021-5
Language eng
DOI 10.1007/978-3-030-11021-5_22
Indigenous content off
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:30124166

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