activity
20182021
most citedMulti-clue reconstruction of sharing chains for social media images

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

cs.MM20214 cited

Multi-clue reconstruction of sharing chains for social media images

Sebastiano Verde, Cecilia Pasquini, Federica Lago +4

The amount of multimedia content shared everyday, combined with the level of realism reached by recent fake-generating technologies, threatens to impair the trustworthiness of onli…

cs.CV2020

Dynamic texture analysis for detecting fake faces in video sequences

Mattia Bonomi, Cecilia Pasquini, Giulia Boato

The creation of manipulated multimedia content involving human characters has reached in the last years unprecedented realism, calling for automated techniques to expose synthetica…

cs.CV2019

Incremental learning for the detection and classification of GAN-generated images

Francesco Marra, Cristiano Saltori, Giulia Boato +1

Current developments in computer vision and deep learning allow to automatically generate hyper-realistic images, hardly distinguishable from real ones. In particular, human face g…

cs.CV2019

Hue Modification Localization By Pair Matching

Quoc-Tin Phan, Michele Vascotto, Giulia Boato

Hue modification is the adjustment of hue property on color images. Conducting hue modification on an image is trivial, and it can be abused to falsify opinions of viewers. Since s…

cs.CV2018

Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint

Quoc-Tin Phan, Giulia Boato, Francesco G. B. De Natale

Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). Su…