Massimo Minervini

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Sotirios Tsaftaris ( Sotos Tsaftaris )Chair in Machine Learning and Computer Vision, The University of EdinburghVerified email at ed.ac.uk
Hanno ScharrForschungszentrum Jülich, IAS-8Verified email at fz-juelich.de
Mario Valerio GiuffridaUniversity of NottinghamVerified email at nottingham.ac.uk
Andrew P FrenchUniversity of NottinghamVerified email at nottingham.ac.uk
Dr. Christian KlukasPrincipal Scientist at BASF SEVerified email at users.sf.net
Gerrit PolderResearcher Image Analysis, Wageningen UniversityVerified email at wur.nl
Xi YinResearch Scientist, FacebookVerified email at fb.com
David KramerMichigan State UniversityVerified email at msu.edu
danijela vukadinovicScientist, JRC, European CommissionVerified email at wur.nl
Imanol LuengoMedtronic - R&D Computer VisionVerified email at medtronic.com
Xiaoming LiuAnil K. and Nandita Jain Endowed Professor; MSU Foundation Professor, CSE, Michigan State UniversityVerified email at cse.msu.edu
Cristian RusuUniversity of BucharestVerified email at unibuc.ro
Mohammed AbdelsameaSenior Lecturer, Exeter University, UKVerified email at exeter.ac.uk
Pierdomenico PerataProfessor of Plant Physiology, Scuola Superiore Sant'Anna, Pisa, ItalyVerified email at sssup.it
Alessandro GozziFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, RoveretoVerified email at iit.it
Tucci ValterIITVerified email at iit.it
Angelo BifoneUniversity of TorinoVerified email at unito.it
Nicoletta Del BuonoAssociate Professor of Numerical Analysis, University of Bari, ItalyVerified email at uniba.it
Gabriella CasalinoInformatics Department, University of Bari, Bari, ItalyVerified email at uniba.it
Corrado MencarUniversità degli Studi di Bari Aldo MoroVerified email at uniba.it

Massimo Minervini

CET Electronics, IMT Lucca

Verified email at imtlucca.it - Homepage

Computer vision machine learning data compression precision agriculture plant phenotyping


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Finely-grained annotated datasets for image-based plant phenotyping M Minervini, A Fischbach, H Scharr, SA Tsaftaris Pattern Recognition Letters 81, 80-89, 2016	333	2016
Leaf segmentation in plant phenotyping: a collation study H Scharr, M Minervini, AP French, C Klukas, DM Kramer, X Liu, I Luengo, ... Machine Vision and Applications 27 (4), 585-606, 2016	324	2016
Image Analysis: The New Bottleneck in Plant Phenotyping M Minervini, H Scharr, SA Tsaftaris IEEE Signal Processing Magazine 32 (4), 126-131, 2015	264	2015
Machine learning for plant phenotyping needs image processing SA Tsaftaris, M Minervini, H Scharr Trends in Plant Science 21 (12), 989-991, 2016	173	2016
Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23 (Multimedia in Ecology and Environment), 35-48, 2014	160	2014
Learning to count leaves in rosette plants MV Giuffrida, M Minervini, SA Tsaftaris BMVA press, 2016	129	2016
Phenotiki: an open software and hardware platform for affordable and easy image-based phenotyping of rosette-shaped plants M Minervini, MV Giuffrida, P Perata, SA Tsaftaris The Plant Journal 90 (1), 204-216, 2017	117	2017
Annotated image datasets of rosette plants H Scharr, M Minervini, A Fischbach, SA Tsaftaris Forschungszentrum Jülich GmbH, Jülich, Germany, 6-12, 2014	108	2014
An interactive tool for semi-automated leaf annotation M Minervini, MV Giuffrida, S Tsaftaris	21	2015
Plant phenotyping datasets M Minervini, A Fischbach, H Scharr, SA Tsaftaris	17	2015
Application-aware image compression for low cost and distributed plant phenotyping M Minervini, SA Tsaftaris 18th International Conference on Digital Signal Processing (DSP), 2013	13	2013
The significance of image compression in plant phenotyping applications M Minervini, H Scharr, SA Tsaftaris Functional Plant Biology 42 (10), 971-988, 2015	12	2015
Large-scale analysis of neuroimaging data on commercial clouds with content-aware resource allocation strategies M Minervini, C Rusu, M Damiano, V Tucci, A Bifone, A Gozzi, SA Tsaftaris International Journal of High Performance Computing Applications 29 (4), 473-488, 2015	11	2015
Learning Computationally Efficient Approximations of Complex Image Segmentation Metrics M Minervini, C Rusu, SA Tsaftaris 8th International Symposium on Image and Signal Processing and Analysis …, 2013	10	2013
Unsupervised and Supervised Approaches to Color Space Transformation for Image Coding M Minervini, C Rusu, SA Tsaftaris 21st International Conference on Image Processing (ICIP), 5576-5580, 2014	8	2014
Nonnegative Matrix Factorizations Performing Object Detection and Localization G Casalino, N Del Buono, M Minervini Applied Computational Intelligence and Soft Computing 2012, 15, 2012	8	2012
Computationally efficient data and application driven color transforms for the compression and enhancement of images and video M Minervini, C Rusu, SA Tsaftaris Color Image and Video Enhancement, 371-393, 2015	6	2015
Mouse neuroimaging phenotyping in the cloud M Minervini, M Damiano, V Tucci, A Bifone, A Gozzi, SA Tsaftaris 3rd International Conference on Image Processing Theory, Tools and …, 2012	6	2012
Classification-aware distortion metric for HEVC intra coding M Minervini, SA Tsaftaris International Conference on Visual Communications and Image Processing (VCIP), 2015	2	2015
Application-Aware Image Compression and Sensing Platform for Plant Phenotyping M Minervini IMT School for Advanced Studies Lucca, 2015	1	2015

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