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Mario Valerio Giuffrida
Mario Valerio Giuffrida
Email verificata su nottingham.ac.uk - Home page
Titolo
Citata da
Citata da
Anno
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
3222017
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
1312017
Learning to count leaves in rosette plants
MV Giuffrida, M Minervini, SA Tsaftaris
BMVA press, 2016
1292016
Leveraging multiple datasets for deep leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE international conference on computer vision …, 2017
1182017
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
1172017
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
1002018
Whole image synthesis using a deep encoder-decoder network
V Sevetlidis, MV Giuffrida, SA Tsaftaris
Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016
692016
Doing more with less: a multitask deep learning approach in plant phenotyping
A Dobrescu, MV Giuffrida, SA Tsaftaris
Frontiers in plant science 11, 141, 2020
662020
Citizen crowds and experts: observer variability in image-based plant phenotyping
MV Giuffrida, F Chen, H Scharr, SA Tsaftaris
Plant methods 14, 1-14, 2018
532018
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
422020
Understanding deep neural networks for regression in leaf counting
A Dobrescu, M Valerio Giuffrida, SA Tsaftaris
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
412019
Leaf counting without annotations using adversarial unsupervised domain adaptation
M Valerio Giuffrida, A Dobrescu, P Doerner, SA Tsaftaris
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
372019
You are what you write: Preserving privacy in the era of large language models
R Plant, V Giuffrida, D Gkatzia
arXiv preprint arXiv:2204.09391, 2022
282022
CAPE: Context-aware private embeddings for private language learning
R Plant, D Gkatzia, V Giuffrida
arXiv preprint arXiv:2108.12318, 2021
272021
An interactive tool for semi-automated leaf annotation
M Minervini, MV Giuffrida, S Tsaftaris
212015
Adversarial large-scale root gap inpainting
H Chen, M Valerio Giuffrida, P Doerner, SA Tsaftaris
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
192019
Root gap correction with a deep inpainting model
H Chen, MV Giuffrida, P Doerner, SA Tsaftaris
172018
Adapting vision foundation models for plant phenotyping
F Chen, MV Giuffrida, SA Tsaftaris
Proceedings of the IEEE/CVF International Conference on Computer Vision, 604-613, 2023
102023
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
102019
Understanding deep neural networks for regression in leaf counting. In 2019 IEEE
A Dobrescu, MV Giuffrida, SA Tsaftaris
CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2019
82019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20