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20132026
most citedTarget-adaptive CNN-based pansharpening

384 citations · 1.2k across the 35 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 215 cited

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Davide Cozzolino, Justus Thies, Andreas Rössler +3

Distinguishing manipulated from real images is becoming increasingly difficult as new sophisticated image forgery approaches come out by the day. Naive classification approaches ba…

cs.CV2018★ 56 cited

Guided patch-wise nonlocal SAR despeckling

Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa +2

We propose a new method for SAR image despeckling which leverages information drawn from co-registered optical imagery. Filtering is performed by plain patch-wise nonlocal means, o…

cs.CV2018

Camera-based Image Forgery Localization using Convolutional Neural Networks

Davide Cozzolino, Luisa Verdoliva

Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fing…

cs.CV2018★ 11 cited

Noiseprint: a CNN-based camera model fingerprint

Davide Cozzolino, Luisa Verdoliva

Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera processes left on the acquired images. Such traces represent a sort of camera fingerprint…

cs.CV2018★ 360 cited

FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3

With recent advances in computer vision and graphics, it is now possible to generate videos with extremely realistic synthetic faces, even in real time. Countless applications are…