Diego Gragnaniello

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 41

Top Topics

Scale Invariant

Liveness Detection

Retinal Fundus Images

Top Venues

Pattern Recognit. Lett.

Publications

Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
Fire and smoke detection from videos: A literature review under a novel taxonomy. Expert Syst. Appl. 255 (2024)
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
ONFIRE Contest 2023: Real-Time Fire Detection on the Edge. ICIAP Workshops (1) (2023)
Diego Gragnaniello, Antonio Greco, Alessia Saggese, Mario Vento, Antonio Vicinanza
Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios. Sensors 23 (8) (2023)
Efstratios Zacharelos, Ciro Scognamillo, Ettore Napoli, Diego Gragnaniello
On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing. BioCAS (2023)
Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Daniel Riccio
Virtual special issue on advances in digital security: Biometrics and forensics. Pattern Recognit. Lett. 159 (2022)
Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
Towards Universal GAN Image Detection. CoRR (2021)
Rama Chellappa, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Richa Singh
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. Comput. Vis. Image Underst. (2021)
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art. CoRR (2021)
Diego Gragnaniello, Francesco Marra, Luisa Verdoliva, Giovanni Poggi
Perceptual quality-preserving black-box attack against deep learning image classifiers. Pattern Recognit. Lett. 147 (2021)
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art. ICME (2021)
Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
Towards Universal GAN Image Detection. VCIP (2021)
Maurizio De Micco, Diego Gragnaniello, Fabio Zonfrilli, Massimiliano Maria Villone, Giovanni Poggi, Luisa Verdoliva, Vincenzo Guida
Deep learning-based non-intrusive detection of instabilities in formulated liquids. AI4I (2021)
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. IEEE Access 8 (2020)
Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
Deep learning in the ultrasound evaluation of neonatal respiratory status. ICPR (2020)
Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
Combining PRNU and noiseprint for robust and efficient device source identification. EURASIP J. Inf. Secur. 2020 (2020)
Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
Combining PRNU and noiseprint for robust and efficient device source identification. CoRR (2020)
Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
Deep learning in the ultrasound evaluation of neonatal respiratory status. CoRR (2020)
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. CoRR (2019)
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers. CoRR (2019)
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
Do GANs Leave Artificial Fingerprints? MIPR (2019)
Daniel Riccio, Nadia Brancati, Maria Frucci, Diego Gragnaniello
A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets. IEEE J. Biomed. Health Informatics 23 (1) (2019)
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors. EUSIPCO (2018)
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva
On the vulnerability of deep learning to adversarial attacks for camera model identification. Signal Process. Image Commun. 65 (2018)
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio, Valentina Di Iorio, Luigi Di Perna, Francesca Simonelli
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis. Neurocomputing 308 (2018)
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio, Valentina Di Iorio, Luigi Di Perna
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. Comput. Medical Imaging Graph. 66 (2018)
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, Luisa Verdoliva
Detection of GAN-Generated Fake Images over Social Networks. MIPR (2018)
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
Analysis of adversarial attacks against CNN-based image forgery detectors. CoRR (2018)
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
Do GANs leave artificial fingerprints? CoRR (2018)
Daniel Riccio, Nadia Brancati, Maria Frucci, Diego Gragnaniello
An Unsupervised Approach for Eye Sclera Segmentation. CIARP (2017)
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio
Retinal Vessels Segmentation Based on a Convolutional Neural Network. CIARP (2017)
David Yambay, Benedict Becker, Naman Kohli, Daksha Yadav, Adam Czajka, Kevin W. Bowyer, Stephanie Schuckers, Richa Singh, Mayank Vatsa, Afzel Noore, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Lingxiao He, Yiwei Ru, Haiqing Li, Nianfeng Liu, Zhenan Sun, Tieniu Tan
LivDet iris 2017 - Iris liveness detection competition 2017. IJCB (2017)
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
Cell image classification by a scale and rotation invariant dense local descriptor. Pattern Recognit. Lett. 82 (2016)
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
Using iris and sclera for detection and classification of contact lenses. Pattern Recognit. Lett. 82 (2016)
Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva
SAR Image Despeckling by Soft Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (6) (2016)
Diego Gragnaniello, Carlo Sansone, Giovanni Poggi, Luisa Verdoliva
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. SITIS (2016)
Nadia Brancati, Diego Gragnaniello, Luisa Verdoliva
Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications. SITIS (2016)
Pedro Tome, Ramachandra Raghavendra, Christoph Busch, Santosh Tirunagari, Norman Poh, B. H. Shekar, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Sébastien Marcel
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks. ICB (2015)
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
Iris liveness detection for mobile devices based on local descriptors. Pattern Recognit. Lett. 57 (2015)
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
Local contrast phase descriptor for fingerprint liveness detection. Pattern Recognit. 48 (4) (2015)
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
An Investigation of Local Descriptors for Biometric Spoofing Detection. IEEE Trans. Inf. Forensics Secur. 10 (4) (2015)
Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva
SAR despeckling based on soft classification. IGARSS (2015)
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
Image forgery detection through residual-based local descriptors and block-matching. ICIP (2014)
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification. I3A@ICPR (2014)
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor. SITIS (2014)
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques. ICIP (2014)
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
A novel framework for image forgery localization. CoRR (2013)
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
Image forgery detection based on the fusion of machine learning and block-matching methods. CoRR (2013)
Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
A convex variational approach for multiple removal in seismic data. EUSIPCO (2012)
Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
Classification-based nonlocal SAR despeckling. TyWRRS (2012)