Mario Valerio Giuffrida

Orcid: 0000-0002-5232-677X

According to our database1, Mario Valerio Giuffrida authored at least 27 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Ceilometer measurements dataset.
Dataset, February, 2024

GMT: Guided Mask Transformer for Leaf Instance Segmentation.
CoRR, 2024

Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation.
CoRR, 2024

Unsupervised anomaly detection for pome fruit quality inspection using X-ray radiography.
Comput. Electron. Agric., 2024

TADM: Temporally-Aware Diffusion Model for Neurodegenerative Progression on Brain MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Synchronization Is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
An omnidirectional approach to touch-based continuous authentication.
Comput. Secur., May, 2023

Editorial: Computer vision in plant phenotyping and agriculture.
Frontiers Artif. Intell., February, 2023

TouchEnc: a Novel Behavioural Encoding Technique to Enable Computer Vision for Continuous Smartphone User Authentication.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

Adapting Vision Foundation Models for Plant Phenotyping.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Transfer Learning via Test-time Neural Networks Aggregation.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
Semi-Supervised Domain Adaptation for Holistic Counting under Label Gap.
J. Imaging, 2021

2020
Unsupervised Rotation Factorization in Restricted Boltzmann Machines.
IEEE Trans. Image Process., 2020

Towards Continuous User Authentication Using Personalised Touch-Based Behaviour.
Proceedings of the IEEE Intl Conf on Dependable, 2020

2019
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning.
CoRR, 2019

Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Understanding Deep Neural Networks for Regression in Leaf Counting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Adversarial Large-Scale Root Gap Inpainting.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Multimodal MR Synthesis via Modality-Invariant Latent Representation.
IEEE Trans. Medical Imaging, 2018

Root Gap Correction with a Deep Inpainting Model.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Leveraging Multiple Datasets for Deep Leaf Counting.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations.
CoRR, 2016

Whole Image Synthesis Using a Deep Encoder-Decoder Network.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

Rotation-Invariant Restricted Boltzmann Machine Using Shared Gradient Filters.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
On Blind Source Camera Identification.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

Exploiting time-multiplexing structured light with picoprojectors.
Proceedings of the Three-Dimensional Image Processing, 2015


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