Gabriele Valvano

17 papers A 2C 1Journal 11Unranked 3

Year	Rank	Type	Title / 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