activity
20192026
most citedAutomatic detection of Gen-AI texts: A comparative framework of neural models

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Face-Trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators

Alessia Infantino, Claudio Schiavella, Irene Amerini

Recent advances in generative Artificial Intelligence have made synthetic face images increasingly realistic, creating new challenges for multimedia forensics. Source attribution m…

cs.CL2026★ 1 cited

Automatic detection of Gen-AI texts: A comparative framework of neural models

Cristian Buttaro, Irene Amerini

The rapid proliferation of Large Language Models has significantly increased the difficulty of distinguishing between human-written and AI generated texts, raising critical issues…

cs.MM2025

WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution

Pietro Bongini, Sara Mandelli, Andrea Montibeller +14

Synthetic image source attribution is an open challenge, with an increasing number of image generators being released yearly. The complexity and the sheer number of available gener…

cs.CV2024

STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing

Andrea Alfarano, Alberto Alfarano, Linda Friso +3

Spatio-Temporal predictive Learning is a self-supervised learning paradigm that enables models to identify spatial and temporal patterns by predicting future frames based on past f…

cs.CV2019

WiCV 2019: The Sixth Women In Computer Vision Workshop

Irene Amerini, Elena Balashova, Sayna Ebrahimi +3

In this paper we present the Women in Computer Vision Workshop - WiCV 2019, organized in conjunction with CVPR 2019. This event is meant for increasing the visibility and inclusion…