Gabriele Valvano

17 papers A 2C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Controllable Image Synthesis of Industrial Data Using Stable Diffusion.
CoRR
Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
2024 A conf
Controllable Image Synthesis of Industrial Data using Stable Diffusion.
WACV
Gabriele Valvano, Antonino Agostino, Giovanni De Magistris, Antonino Graziano, Giacomo Veneri
2022 C conf
Document Layout Analysis with Variational Autoencoders: An Industrial Application.
ISMIS
Ali Youssef, Gabriele Valvano, Giacomo Veneri
2021 J jnl
Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.
IEEE Trans. Medical Imaging
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021 A conf
Measuring the Biases and Effectiveness of Content-Style Disentanglement.
BMVC
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
2021 J jnl
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts.
CoRR
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021 — conf
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning.
DART/FAIR@MICCAI
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021 J jnl
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning.
CoRR
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021 — conf
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.
DART/FAIR@MICCAI
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2021 J jnl
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.
CoRR
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2020 J jnl
Metrics for Exposing the Biases of Content-Style Disentanglement.
CoRR
Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020 J jnl
Weakly Supervised Segmentation with Multi-scale Adversarial Attention Gates.
CoRR
Gabriele Valvano, Andrea Leo, Sotirios A. Tsaftaris
2019 — conf
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.
DART/MIL3ID@MICCAI
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2019 J jnl
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations.
CoRR
Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2018 J jnl
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging.
CoRR
Gabriele Valvano, Gianmarco Santini, Nicola Martini, Andrea Ripoli, Chiara Iacconi, Dante Chiappino, Daniele Della Latta
2018 J jnl
Synthetic contrast enhancement in cardiac CT with Deep Learning.
CoRR
Gianmarco Santini, Lorena M. Zumbo, Nicola Martini, Gabriele Valvano, Andrea Leo, Andrea Ripoli, Francesco Avogliero, Dante Chiappino, Daniele Della Latta
2018 J jnl
Training of a Skull-Stripping Neural Network with efficient data augmentation.
CoRR
Gabriele Valvano, Nicola Martini, Andrea Leo, Gianmarco Santini, Daniele Della Latta, Emiliano Ricciardi, Dante Chiappino