227 citations · 567 across the 10 of their papers we have counts for
6 papers · 1 filter
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
Luca Bondi, Edoardo Daniele Cannas, Paolo Bestagini +1
The fast and continuous growth in number and quality of deepfake videos calls for the development of reliable detection systems capable of automatically warning users on social med…
Video Face Manipulation Detection Through Ensemble of CNNs
Nicolò Bonettini, Edoardo Daniele Cannas, Sara Mandelli +3
In the last few years, several techniques for facial manipulation in videos have been successfully developed and made available to the masses (i.e., FaceSwap, deepfake, etc.). Thes…
An In-Depth Study on Open-Set Camera Model Identification
Pedro Ribeiro Mendes Júnior, Luca Bondi, Paolo Bestagini +2
Camera model identification refers to the problem of linking a picture to the camera model used to shoot it. As this might be an enabling factor in different forensic applications…
A Counter-Forensic Method for CNN-Based Camera Model Identification
David Güera, Yu Wang, Luca Bondi +3
An increasing number of digital images are being shared and accessed through websites, media, and social applications. Many of these images have been modified and are not authentic…
Reduced Memory Region Based Deep Convolutional Neural Network Detection
Denis Tome', Luca Bondi, Emanuele Plebani +3
Accurate pedestrian detection has a primary role in automotive safety: for example, by issuing warnings to the driver or acting actively on car's brakes, it helps decreasing the pr…
Deep convolutional neural networks for pedestrian detection
Denis Tomè, Federico Monti, Luca Baroffio +3
Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. De…