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Computer Science

D-Index
31
Citations
7174
World Ranking
13381
National Ranking
479

Overview

Davide Cozzolino is affiliated with the University of Naples Federico II in Italy. Their research primarily spans the field of Computer Science, with a strong focus on Computer Vision and Pattern Recognition. Other notable areas of study include Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Biophysics.

The main topics covered in their work include Digital Media Forensic Detection, Advanced Steganography and Watermarking Techniques, Generative Adversarial Networks and Image Synthesis, Speech and Audio Processing, Advanced Image Processing Techniques, Cell Image Analysis Techniques, and Advanced Image and Video Retrieval Techniques.

They have published extensively with numerous papers featured in well-known venues. Some frequent publication venues for their work are arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Security & Privacy, Remote Sensing, and the 2021 International Conference on Visual Communications and Image Processing (VCIP).

Recent papers include:

  • Nonlocal CNN SAR Image Despeckling, 2020, Remote Sensing
  • Towards Universal GAN Image Detection, 2021, 2021 International Conference on Visual Communications and Image Processing (VCIP)
  • ID-Reveal: Identity-aware DeepFake Video Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent coauthors working alongside them include Luisa Verdoliva, Giovanni Poggi, Riccardo Corvi, Koki Nagano, and Fabrizio Guillaro.

Best Publications

  • FaceForensics++: Learning to Detect Manipulated Facial Images

    Andreas Rossler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Pansharpening by Convolutional Neural Networks

    Giuseppe Masi;Davide Cozzolino;Luisa Verdoliva;Giuseppe Scarpa

  • FaceForensics++: Learning to Detect Manipulated Facial Images

    Andreas Rössler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Efficient Dense-Field Copy–Move Forgery Detection

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Noiseprint: A CNN-Based Camera Model Fingerprint

    Davide Cozzolino;Luisa Verdoliva

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

    Andreas Rössler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Detection of GAN-Generated Fake Images over Social Networks

    Francesco Marra;Diego Gragnaniello;Davide Cozzolino;Luisa Verdoliva

  • Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Target-Adaptive CNN-Based Pansharpening

    Giuseppe Scarpa;Sergio Vitale;Davide Cozzolino

  • SAR image despeckling through convolutional neural networks

    G. Chierchia;D. Cozzolino;G. Poggi;L. Verdoliva

  • Splicebuster: A new blind image splicing detector

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

    Davide Cozzolino;Justus Thies;Andreas Rössler;Christian Riess

  • Fast Adaptive Nonlocal SAR Despeckling

    Davide Cozzolino;Sara Parrilli;Giuseppe Scarpa;Giovanni Poggi

  • Copy-move forgery detection based on PatchMatch

    Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Single-image splicing localization through autoencoder-based anomaly detection

    Davide Cozzolino;Luisa Verdoliva

  • A PatchMatch-Based Dense-Field Algorithm for Video Copy–Move Detection and Localization

    Luca D'Amiano;Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Autoencoder with recurrent neural networks for video forgery detection

    Dario D'Avino;Davide Cozzolino;Giovanni Poggi;Luisa Verdoliva

  • Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques

    Davide Cozzolino;Diego Gragnaniello;Luisa Verdoliva

  • Image forgery detection through residual-based local descriptors and block-matching

    Davide Cozzolino;Diego Gragnaniello;Luisa Verdoliva

  • InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration

    Francescopaolo Sica;Davide Cozzolino;Xiao Xiang Zhu;Luisa Verdoliva

  • Nonlocal CNN SAR Image Despeckling

    Davide Cozzolino;Luisa Verdoliva;Giuseppe Scarpa;Giovanni Poggi

  • A feature-based approach for image tampering detection and localization

    Luisa Verdoliva;Davide Cozzolino;Giovanni Poggi

  • Audio-Visual Person-of-Interest DeepFake Detection

    Unknown

  • Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art

    Diego Gragnaniello;Davide Cozzolino;Francesco Marra;Giovanni Poggi

Frequent Co-Authors

Luisa Verdoliva
Luisa Verdoliva University of Naples Federico II
Giovanni Poggi
Giovanni Poggi University of Naples Federico II
Justus Thies
Justus Thies Technical University of Munich
Matthias Nießner
Matthias Nießner Technical University of Munich
Carlo Sansone
Carlo Sansone University of Naples Federico II
Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Paolo Bestagini
Paolo Bestagini Polytechnic University of Milan
Fabio Roli
Fabio Roli University of Genoa
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich

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