Gabriele Valvano

According to our database, Gabriele Valvano authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Controllable Image Synthesis of Industrial Data using Stable Diffusion.

Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2022

Document Layout Analysis with Variational Autoencoders: An Industrial Application.

Ali Youssef, Gabriele Valvano, Giacomo Veneri

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

2021

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2021

Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

CoRR, 2021

Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Measuring the Biases and Effectiveness of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Metrics for Exposing the Biases of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

CoRR, 2020

Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates.

Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris

CoRR, 2020

2019

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.

Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

Training of a Skull-Stripping Neural Network with efficient data augmentation.

Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino

CoRR, 2018

Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging.

Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta

CoRR, 2018

Synthetic contrast enhancement in cardiac CT with Deep Learning.

Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta

CoRR, 2018