Diego Gragnaniello

58 papers A 1B 4C 4Journal 32Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — conf
Enhancing QDTrack with Self-Attention in Autonomous Driving Environments.
VISAPP (3)
Diego Gragnaniello, Antonio Greco, Antonio Parziale, Mario Vento
2025 J jnl
FLAME: fire detection in videos combining a deep neural network with a model-based motion analysis.
Neural Comput. Appl.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025 J jnl
FOCUS: Improving fire detection on videos by scenario adaptation.
Image Vis. Comput.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025 — conf
ONFIRE Contest 2025: Fire and Smoke Detection in Real-Time on the Edge.
ICIAP (Workshops 2)
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025 J jnl
Onfire 2023 Contest: what did we learn about real time fire detection from cameras?
J. Ambient Intell. Humaniz. Comput.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025 J jnl
Real-time joint recognition of weather and ground surface conditions by a multi-task deep network.
Eng. Appl. Artif. Intell.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2025 J jnl
Video Fire Recognition Using Zero-Shot Vision-Language Models Guided by a Task-Aware Object Detector.
ACM Trans. Multim. Comput. Commun. Appl.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2024 J jnl
Fire and smoke detection from videos: A literature review under a novel taxonomy.
Expert Syst. Appl.
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2024 — conf
Smart visual sensors for real time weather and ground conditions recognition for agricultural robotics.
CASE
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2023 J jnl
Benchmarking 2D Multi-Object Detection and Tracking Algorithms in Autonomous Vehicle Driving Scenarios.
Sensors
Diego Gragnaniello, Antonio Greco, Alessia Saggese, Mario Vento, Antonio Vicinanza
2023 — conf
ONFIRE Contest 2023: Real-Time Fire Detection on the Edge.
ICIAP Workshops (1)
Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento
2023 — conf
On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing.
BioCAS
Efstratios Zacharelos, Ciro Scognamillo, Ettore Napoli, Diego Gragnaniello
2022 — ch.
Detection of AI-Generated Synthetic Faces.
Handbook of Digital Face Manipulation and Detection
Diego Gragnaniello, Francesco Marra, Luisa Verdoliva
2022 J jnl
Virtual special issue on advances in digital security: Biometrics and forensics.
Pattern Recognit. Lett.
Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Daniel Riccio
2021 A conf
Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art.
ICME
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
2021 J jnl
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art.
CoRR
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
2021 — conf
Deep learning-based non-intrusive detection of instabilities in formulated liquids.
AI4I
Maurizio De Micco, Diego Gragnaniello, Fabio Zonfrilli, Massimiliano Maria Villone, Giovanni Poggi, Luisa Verdoliva, Vincenzo Guida
2021 J jnl
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics.
Comput. Vis. Image Underst.
Rama Chellappa, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Richa Singh
2021 J jnl
Perceptual quality-preserving black-box attack against deep learning image classifiers.
Pattern Recognit. Lett.
Diego Gragnaniello, Francesco Marra, Luisa Verdoliva, Giovanni Poggi
2021 C conf
Towards Universal GAN Image Detection.
VCIP
Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
2021 J jnl
Towards Universal GAN Image Detection.
CoRR
Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
2020 J jnl
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection.
IEEE Access
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
2020 J jnl
Combining PRNU and noiseprint for robust and efficient device source identification.
CoRR
Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
2020 J jnl
Combining PRNU and noiseprint for robust and efficient device source identification.
EURASIP J. Inf. Secur.
Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva
2020 B conf
Deep learning in the ultrasound evaluation of neonatal respiratory status.
ICPR
Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
2020 J jnl
Deep learning in the ultrasound evaluation of neonatal respiratory status.
CoRR
Michela Gravina, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi, Iuri Corsini, Carlo Dani, Fabio Meneghin, Gianluca Lista, Salvatore Aversa, Francesco Raimondi, Fiorella Migliaro, Carlo Sansone
2019 J jnl
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection.
CoRR
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
2019 J jnl
A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets.
IEEE J. Biomed. Health Informatics
Daniel Riccio, Nadia Brancati, Maria Frucci, Diego Gragnaniello
2019 — conf
Do GANs Leave Artificial Fingerprints?
MIPR
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
2019 J jnl
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers.
CoRR
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
2018 — conf
Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors.
EUSIPCO
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
2018 J jnl
Analysis of adversarial attacks against CNN-based image forgery detectors.
CoRR
Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva
2018 J jnl
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa.
Comput. Medical Imaging Graph.
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio, Valentina Di Iorio, Luigi Di Perna
2018 — conf
Detection of GAN-Generated Fake Images over Social Networks.
MIPR
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, Luisa Verdoliva
2018 J jnl
Do GANs leave artificial fingerprints?
CoRR
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi
2018 J jnl
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis.
Neurocomputing
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio, Valentina Di Iorio, Luigi Di Perna, Francesca Simonelli
2018 J jnl
On the vulnerability of deep learning to adversarial attacks for camera model identification.
Signal Process. Image Commun.
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva
2017 C conf
An Unsupervised Approach for Eye Sclera Segmentation.
CIARP
Daniel Riccio, Nadia Brancati, Maria Frucci, Diego Gragnaniello
2017 B conf
LivDet iris 2017 - Iris liveness detection competition 2017.
IJCB
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
2017 C conf
Retinal Vessels Segmentation Based on a Convolutional Neural Network.
CIARP
Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio
2016 — conf
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network.
SITIS
Diego Gragnaniello, Carlo Sansone, Giovanni Poggi, Luisa Verdoliva
2016 J jnl
Cell image classification by a scale and rotation invariant dense local descriptor.
Pattern Recognit. Lett.
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
2016 J jnl
SAR Image Despeckling by Soft Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva
2016 — conf
Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications.
SITIS
Nadia Brancati, Diego Gragnaniello, Luisa Verdoliva
2016 J jnl
Using iris and sclera for detection and classification of contact lenses.
Pattern Recognit. Lett.
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2015 J jnl
An Investigation of Local Descriptors for Biometric Spoofing Detection.
IEEE Trans. Inf. Forensics Secur.
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2015 J jnl
Iris liveness detection for mobile devices based on local descriptors.
Pattern Recognit. Lett.
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
2015 J jnl
Local contrast phase descriptor for fingerprint liveness detection.
Pattern Recognit.
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2015 C conf
SAR despeckling based on soft classification.
IGARSS
Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva
2015 — conf
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks.
ICB
Pedro Tome, Ramachandra Raghavendra, Christoph Busch, Santosh Tirunagari, Norman Poh, B. H. Shekar, Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva, Sébastien Marcel
2014 — conf
Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification.
I3A@ICPR
Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva
2014 — conf
Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor.
SITIS
Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2014 B conf
Image forgery detection through residual-based local descriptors and block-matching.
ICIP
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
2014 B conf
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques.
ICIP
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
2013 J jnl
A novel framework for image forgery localization.
CoRR
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
2013 J jnl
Image forgery detection based on the fusion of machine learning and block-matching methods.
CoRR
Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva
2012 — conf
A convex variational approach for multiple removal in seismic data.
EUSIPCO
Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
2012 — conf
Classification-based nonlocal SAR despeckling.
TyWRRS
Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva