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WG: [CFP] Computer Vision Problems in Plant Phenotyping workshop at CVPR (CVPPP 2019, Long Beach, CA, USA) June 2019
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FM-ippn
Jan 20, 2019, 4:42:21 PM1/20/19
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First Call for Papers
CVPR 2019 Workshop on
Computer Vision Problems in Plant Phenotyping (CVPPP 2019)
-----------------------------------------------------------------------
June 16 or 17, 2019 (half day), Long Beach, CA
Website: http://www.plant-phenotyping.org/CVPPP2019
Important Dates:
-----------------------------------------------------------------------
Submission due (full paper or 1 page abstract): 20 Mar 2019 (Wed)
Notification of acceptance: 03 Apr 2019 (Wed)
Camera-ready (full papers only): 10 Apr 2019 (Wed)
Workshop date: 16 or 17 June 2019 (Sun / Mon)
Scope:
-----------------------------------------------------------------------
After the successful CVPPP workshops from recent years at ECCV, BMVC and ICCV, CVPPP this year is held in conjunction with CVPR 2019. The goal of this fifth workshop is to continue to showcase the challenges raised by and extend the state of the art in computer vision for plant phenotyping. Plant phenotyping is the identification of effects on plant structure and function (the phenotype) resulting from genotypic differences (i.e., differences in the genetic code) and the environmental conditions a plant has been exposed to. Knowledge of plant phenotypes is a key ingredient of the knowledge-based bioeconomy, which not only literally helps to feed the world, but is also essential for feed, fibre and fuel production. We want to identify key but unsolved problems, expose the current state-of-the-art, and broaden the field and the community.
Topics:
-----------------------------------------------------------------------
Specific topics of interest include, but are not limited to, the following:
* advances in segmentation, tracking, detection, reconstruction and identification methods that address unsolved plant phenotyping scenarios
* open source implementation, comparison and discussion of existing methods and annotation tools
* image data sets defining plant phenotyping challenges, complete with annotations if appropriate, accompanied with benchmark methods if possible, and suitable evaluation methods. Compare e.g. the Plant Leaf Segmentation Challenge (LSC), which spawned from earlier CVPPPs and is meanwhile hosted at CodaLab (https://competitions.codalab.org/competitions/18405) as permanent competition.
Invited speakers [tentative]]:
-----------------------------------------------------------------------
Prof. Victor Lempitsky (Skoltech; http://sites.skoltech.ru/compvision/members/vilem/)
Further Information and Submission Guidelines:
-----------------------------------------------------------------------
We welcome both
* full papers [will appear in the CVPR online proceedings] and
* one page abstracts [will appear on the CVPPP website, but not in the CVPR proceedings].
Further information about the workshop, author instructions, submission guidelines, and the challenge are available at:
http://www.plant-phenotyping.org/CVPPP2019
Organisers
-----------------------------------------------------------------------
* Tony Pridmore (University of Nottingham, UK), Tony.P...@nottingham.ac.uk
* Sotirios A. Tsaftaris (University of Edinburgh, UK), S.Tsa...@ed.ac.uk
* Hanno Scharr (Forschungszentrum Jülich, Germany), H.Sc...@fz-juelich.de
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
First Call for Papers
CVPR 2019 Workshop on
Computer Vision Problems in Plant Phenotyping (CVPPP 2019)
-----------------------------------------------------------------------
June 16 or 17, 2019 (half day), Long Beach, CA
Website: http://www.plant-phenotyping.org/CVPPP2019
Important Dates:
-----------------------------------------------------------------------
Submission due (full paper or 1 page abstract): 20 Mar 2019 (Wed)
Notification of acceptance: 03 Apr 2019 (Wed)
Camera-ready (full papers only): 10 Apr 2019 (Wed)
Workshop date: 16 or 17 June 2019 (Sun / Mon)
Scope:
-----------------------------------------------------------------------
After the successful CVPPP workshops from recent years at ECCV, BMVC and ICCV, CVPPP this year is held in conjunction with CVPR 2019. The goal of this fifth workshop is to continue to showcase the challenges raised by and extend the state of the art in computer vision for plant phenotyping. Plant phenotyping is the identification of effects on plant structure and function (the phenotype) resulting from genotypic differences (i.e., differences in the genetic code) and the environmental conditions a plant has been exposed to. Knowledge of plant phenotypes is a key ingredient of the knowledge-based bioeconomy, which not only literally helps to feed the world, but is also essential for feed, fibre and fuel production. We want to identify key but unsolved problems, expose the current state-of-the-art, and broaden the field and the community.
Topics:
-----------------------------------------------------------------------
Specific topics of interest include, but are not limited to, the following:
* advances in segmentation, tracking, detection, reconstruction and identification methods that address unsolved plant phenotyping scenarios
* open source implementation, comparison and discussion of existing methods and annotation tools
* image data sets defining plant phenotyping challenges, complete with annotations if appropriate, accompanied with benchmark methods if possible, and suitable evaluation methods. Compare e.g. the Plant Leaf Segmentation Challenge (LSC), which spawned from earlier CVPPPs and is meanwhile hosted at CodaLab (https://competitions.codalab.org/competitions/18405) as permanent competition.
Invited speakers [tentative]]:
-----------------------------------------------------------------------
Prof. Victor Lempitsky (Skoltech; http://sites.skoltech.ru/compvision/members/vilem/)
Further Information and Submission Guidelines:
-----------------------------------------------------------------------
We welcome both
* full papers [will appear in the CVPR online proceedings] and
* one page abstracts [will appear on the CVPPP website, but not in the CVPR proceedings].
Further information about the workshop, author instructions, submission guidelines, and the challenge are available at:
http://www.plant-phenotyping.org/CVPPP2019
Organisers
-----------------------------------------------------------------------
* Tony Pridmore (University of Nottingham, UK), Tony.P...@nottingham.ac.uk
* Sotirios A. Tsaftaris (University of Edinburgh, UK), S.Tsa...@ed.ac.uk
* Hanno Scharr (Forschungszentrum Jülich, Germany), H.Sc...@fz-juelich.de
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
------------------------------------------------------------------------------------------------
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