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
1022017
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 2016
662016
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
532017
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
492017
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE International Conference on Computer Vision …, 2017
452017
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
372018
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
332016
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
282018
An interactive tool for semi-automated leaf annotation
M Minervini, MV Giuffrida, SA Tsaftaris
BMVA Press, 2016
152016
Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping
A Dobrescu, MV Giuffrida, SA Tsaftaris
Frontiers in Plant Science 11, 2020
82020
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
82019
Root Gap Correction with a Deep Inpainting Model.
H Chen, MV Giuffrida, SA Tsaftaris, P Doerner
BMVC, 325, 2018
82018
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
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
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
32020
Unsupervised Rotation Factorization in Restricted Boltzmann Machines
MV Giuffrida, SA Tsaftaris
IEEE Transactions on Image Processing 29 (1), 2166-2175, 2019
22019
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