Mario Valerio Giuffrida
Mario Valerio Giuffrida
Email verificata su ed.ac.uk - Home page
TitoloCitata daAnno
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 2016
402016
Multimodal MR synthesis via modality-invariant latent representation
A Chartsias, T Joyce, MV Giuffrida, SA Tsaftaris
IEEE transactions on medical imaging 37 (3), 803-814, 2017
302017
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
302017
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE International Conference on Computer Vision, 2072-2079, 2017
182017
Whole image synthesis using a deep encoder-decoder network
V Sevetlidis, MV Giuffrida, SA Tsaftaris
International Workshop on Simulation and Synthesis in Medical Imaging, 127-137, 2016
172016
ARIGAN: synthetic Arabidopsis plants using generative adversarial network
M Valerio Giuffrida, H Scharr, SA Tsaftaris
Proceedings of the IEEE International Conference on Computer Vision, 2064-2071, 2017
142017
An interactive tool for semi-automated leaf annotation
M Minervini, MV Giuffrida, SA Tsaftaris
BMVA Press, 2016
122016
Citizen crowds and experts: observer variability in image-based plant phenotyping
MV Giuffrida, F Chen, H Scharr, SA Tsaftaris
Plant methods 14 (1), 12, 2018
112018
Pheno‐Deep Counter: a unified and versatile deep learning architecture for leaf counting
MV Giuffrida, P Doerner, SA Tsaftaris
The Plant Journal 96 (4), 880-890, 2018
102018
Root Gap Correction with a Deep Inpainting Model.
H Chen, MV Giuffrida, SA Tsaftaris, P Doerner
BMVC, 325, 2018
32018
On blind source camera identification
GM Farinella, MV Giuffrida, V Digiacomo, S Battiato
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2015
32015
An affordable system to phenotype the root system architecture of the chickpea
MV Giuffrida, T Bontpart, C Concha-Vidal, I Robertson, S Tsaftaris, ...
CVPPP, 2018
12018
Pheno-deep counter: the universal and versatile deep learning architecture for leaf count
MV Giuffrida, P Doerner, S Tsaftaris, P zza San Francesco
CVPPP, 2018
12018
Theta-rbm: Unfactored gated restricted boltzmann machine for rotation-invariant representations
MV Giuffrida, SA Tsaftaris
arXiv preprint arXiv:1606.08805, 2016
12016
Adversarial Large-Scale Root Gap Inpainting
H Chen, M Valerio Giuffrida, P Doerner, SA Tsaftaris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation
M Valerio Giuffrida, A Dobrescu, P Doerner, SA Tsaftaris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
Understanding Deep Neural Networks for Regression in Leaf Counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2019
Affordable and robust phenotyping framework to analyse root system architecture of soil-grown plants
T Bontpart, C Concha, V Giuffrida, I Robertson, K Admkie, T Degefu, ...
bioRxiv, 573139, 2019
2019
Phenotiki–True phenotyping-in-a-box solution User’s manual
M Minervini, MV Giuffrida, SA Tsaftaris
2016
Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters
MV Giuffrida, SA Tsaftaris
International Conference on Artificial Neural Networks, 480-488, 2016
2016
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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