180 citations · 577 across the 28 of their papers we have counts for
29 papers
Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
Federico Fontana, Anxhelo Diko, Romeo Lanzino +4
The rapid evolution of deepfake generation technologies poses critical challenges for detection systems, as non-continual learning methods demand frequent and expensive retraining.…
An Investigation of Ear-EEG Signals for a Novel Biometric Authentication System
Danilo Avola, Giancarlo Crocetti, Gian Luca Foresti +3
This work explores the feasibility of biometric authentication using EEG signals acquired through in-ear devices, commonly referred to as ear-EEG. Traditional EEG-based biometric s…
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Federico Fontana, Romeo Lanzino, Anxhelo Diko +2
This paper works on Binary Neural Networks (BNNs), a promising avenue for efficient deep learning, offering significant reductions in computational overhead and memory footprint to…
Federated Learning for Data and Model Heterogeneity in Medical Imaging
Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti
Federated Learning (FL) is an evolving machine learning method in which multiple clients participate in collaborative learning without sharing their data with each other and the ce…
Efficient few-shot learning for pixel-precise handwritten document layout analysis
Axel De Nardin, Silvia Zottin, Matteo Paier +3
Layout analysis is a task of uttermost importance in ancient handwritten document analysis and represents a fundamental step toward the simplification of subsequent tasks such as o…
Masked Transformer for image Anomaly Localization
Axel De Nardin, Pankaj Mishra, Gian Luca Foresti +1
Image anomaly detection consists in detecting images or image portions that are visually different from the majority of the samples in a dataset. The task is of practical importanc…