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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
56
Citations
15512
World Ranking
4010
National Ranking
83

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Luisa Verdoliva is affiliated with the University of Naples Federico II in Italy. Their research primarily spans the field of Computer Science, with a focus on several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems, and Biophysics.

The scientist has published extensively on various topics, with notable emphasis on Digital Media Forensic Detection, Generative Adversarial Networks and Image Synthesis, Advanced Steganography and Watermarking Techniques, Face Recognition and Analysis, Digital and Cyber Forensics, Adversarial Robustness in Machine Learning, and Cell Image Analysis Techniques.

Frequent coauthors collaborating with Luisa Verdoliva include:

  • Davide Cozzolino
  • Giovanni Poggi
  • Diego Gragnaniello
  • Riccardo Corvi
  • Koki Nagano

The main venues where Verdoliva's scholarly works appear with multiple contributions are:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Signal Processing Magazine
  • IEEE Access
  • IEEE Security & Privacy

Some recent publications by Luisa Verdoliva include:

  • Nonlocal CNN SAR Image Despeckling, 2020, Remote Sensing
  • Facing Device Attribution Problem for Stabilized Video Sequences, 2020, Virtual Community of Pathological Anatomy (University of Castilla La Mancha)
  • Towards Universal GAN Image Detection, 2021, 2021 International Conference on Visual Communications and Image Processing (VCIP)
  • Forensic Analysis of Synthetically Generated Western Blot Images, 2022, IEEE Access
  • Information Forensics and Security: A quarter-century-long journey, 2023, IEEE Signal Processing Magazine

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

  • A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage

    S. Parrilli;M. Poderico;C. V. Angelino;L. Verdoliva

  • FaceForensics++: Learning to Detect Manipulated Facial Images

    Andreas Rössler;Davide Cozzolino;Luisa Verdoliva;Christian Riess

  • Media Forensics and DeepFakes: An Overview

    Luisa Verdoliva

  • Land Use Classification in Remote Sensing Images by Convolutional Neural Networks

    Marco Castelluccio;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • 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

  • Do GANs Leave Artificial Fingerprints

    Francesco Marra;Diego Gragnaniello;Luisa Verdoliva;Giovanni Poggi

  • 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

  • A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

    Giovanni Chierchia;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Fast Adaptive Nonlocal SAR Despeckling

    Davide Cozzolino;Sara Parrilli;Giuseppe Scarpa;Giovanni Poggi

  • An Investigation of Local Descriptors for Biometric Spoofing Detection

    Diego Gragnaniello;Giovanni Poggi;Carlo Sansone;Luisa Verdoliva

  • Exploiting Patch Similarity for SAR Image Processing: The nonlocal paradigm

    Charles-Alban Deledalle;Loic Denis;Giovanni Poggi;Florence Tupin

  • Benchmarking Framework for SAR Despeckling

    Gerardo Di Martino;Mariana Poderico;Giovanni Poggi;Daniele Riccio

Frequent Co-Authors

Giovanni Poggi
Giovanni Poggi University of Naples Federico II
Davide Cozzolino
Davide Cozzolino University of Naples Federico II
Carlo Sansone
Carlo Sansone University of Naples Federico II
Justus Thies
Justus Thies Technical University of Munich
Daniele Riccio
Daniele Riccio University of Naples Federico II
Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Paolo Bestagini
Paolo Bestagini Polytechnic University of Milan
Matthias Nießner
Matthias Nießner Technical University of Munich
Fabio Roli
Fabio Roli University of Genoa
Gianfranco Fornaro
Gianfranco Fornaro National Research Council (CNR)

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