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20122023
most citedDeep convolutional neural networks for pedestrian detection

227 citations · 994 across the 36 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.MM2020

DIPPAS: A Deep Image Prior PRNU Anonymization Scheme

Francesco Picetti, Sara Mandelli, Paolo Bestagini +2

Source device identification is an important topic in image forensics since it allows to trace back the origin of an image. Its forensics counter-part is source device anonymizatio…

cs.CV2020

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…

cs.CV2020★ 1 cited

Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision

Sara Mandelli, Nicolò Bonettini, Paolo Bestagini +1

Convolutional Neural Networks (CNNs) have proved very accurate in multiple computer vision image classification tasks that required visual inspection in the past (e.g., object reco…

cs.CV2020★ 18 cited

FOCAL: A Forgery Localization Framework based on Video Coding Self-Consistency

Sebastiano Verde, Paolo Bestagini, Simone Milani +2

Forgery operations on video contents are nowadays within the reach of anyone, thanks to the availability of powerful and user-friendly editing software. Integrity verification and…

cs.MM2020

A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos

Sara Mandelli, Fabrizio Argenti, Paolo Bestagini +3

To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquir…

cs.CV2020

On the use of Benford's law to detect GAN-generated images

Nicolò Bonettini, Paolo Bestagini, Simone Milani +1

The advent of Generative Adversarial Network (GAN) architectures has given anyone the ability of generating incredibly realistic synthetic imagery. The malicious diffusion of GAN-g…

cs.CV2020

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…

cs.NE2020★ 59 cited

CNN-based fast source device identification

Sara Mandelli, Davide Cozzolino, Paolo Bestagini +2

Source identification is an important topic in image forensics, since it allows to trace back the origin of an image. This represents a precious information to claim intellectual p…