19 citations · 54 across the 10 of their papers we have counts for
11 papers
VidCLearn: A Continual Learning Approach for Text-to-Video Generation
Luca Zanchetta, Lorenzo Papa, Luca Maiano +1
Text-to-video generation is an emerging field in generative AI, enabling the creation of realistic, semantically accurate videos from text prompts. While current models achieve imp…
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
Luca Maiano, Fabrizio Casadei, Irene Amerini
Detecting deepfakes has become a critical challenge in Computer Vision and Artificial Intelligence. Despite significant progress in detection techniques, generalizing them to open-…
Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation
Alessio Borgi, Luca Maiano, Irene Amerini
We introduce Z-SASLM, a Zero-Shot Style-Aligned SLI (Spherical Linear Interpolation) Blending Latent Manipulation pipeline that overcomes the limitations of current multi-style ble…
Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
Emanuele Mule, Matteo Pannacci, Ali Ghasemi Goudarzi +4
The recent advancements in generative AI techniques, which have significantly increased the online dissemination of altered images and videos, have raised serious concerns about th…
Continuous fake media detection: adapting deepfake detectors to new generative techniques
Francesco Tassone, Luca Maiano, Irene Amerini
Generative techniques continue to evolve at an impressively high rate, driven by the hype about these technologies. This rapid advancement severely limits the application of deepfa…
A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
Francesco Pro, Nikolaos Dionelis, Luca Maiano +2
Nowadays the accurate geo-localization of ground-view images has an important role across domains as diverse as journalism, forensics analysis, transports, and Earth Observation. T…
Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
Nikolaos Dionelis, Francesco Pro, Luca Maiano +2
Data from satellites or aerial vehicles are most of the times unlabelled. Annotating such data accurately is difficult, requires expertise, and is costly in terms of time. Even if…
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Federico Siciliano, Luca Maiano, Lorenzo Papa +3
Fake news detection models are critical to countering disinformation but can be manipulated through adversarial attacks. In this position paper, we analyze how an attacker can comp…
Learning Double-Compression Video Fingerprints Left from Social-Media Platforms
Irene Amerini, Aris Anagnostopoulos, Luca Maiano +1
Social media and messaging apps have become major communication platforms. Multimedia contents promote improved user engagement and have thus become a very important communication…
DepthFake: a depth-based strategy for detecting Deepfake videos
Luca Maiano, Lorenzo Papa, Ketbjano Vocaj +1
Fake content has grown at an incredible rate over the past few years. The spread of social media and online platforms makes their dissemination on a large scale increasingly access…
Identification of Social-Media Platform of Videos through the Use of Shared Features
Luca Maiano, Irene Amerini, Lorenzo Ricciardi Celsi +1
Videos have become a powerful tool for spreading illegal content such as military propaganda, revenge porn, or bullying through social networks. To counter these illegal activities…