Mario Valerio Giuffrida
Mario Valerio Giuffrida
Verified email at napier.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
882017
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 2016
592016
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
492017
Arigan: Synthetic arabidopsis plants using generative adversarial network
M Valerio Giuffrida, H Scharr, SA Tsaftaris
Proceedings of the IEEE International Conference on Computer Vision …, 2017
432017
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE International Conference on Computer Vision …, 2017
412017
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
322016
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
282018
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
252018
An interactive tool for semi-automated leaf annotation
M Minervini, MV Giuffrida, SA Tsaftaris
BMVA Press, 2016
142016
Root Gap Correction with a Deep Inpainting Model.
H Chen, MV Giuffrida, SA Tsaftaris, P Doerner
BMVC, 325, 2018
82018
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
62019
On blind source camera identification
GM Farinella, MV Giuffrida, V Digiacomo, S Battiato
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2015
52015
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
42019
Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping
A Dobrescu, MV Giuffrida, SA Tsaftaris
Frontiers in Plant Science 11, 2020
32020
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
32019
Unsupervised Rotation Factorization in Restricted Boltzmann Machines
MV Giuffrida, SA Tsaftaris
IEEE Transactions on Image Processing 29 (1), 2166-2175, 2019
22019
Affordable and robust phenotyping framework to analyse root system architecture of soil‐grown plants
T Bontpart, C Concha, MV Giuffrida, I Robertson, K Admkie, T Degefu, ...
The Plant Journal 103 (6), 2330-2343, 2020
12020
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
H Chen, MV Giuffrida, P Doerner, SA Tsaftaris
arXiv preprint arXiv:1912.02470, 2019
12019
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
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Articles 1–20