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ORCIDDiego Gragnaniello
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2020 – today
- 2024
[j17]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: 124783 (2024)- [c23]Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento:
Smart visual sensors for real time weather and ground conditions recognition for agricultural robotics. CASE 2024: 90-95 - 2023
- [j16]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): 4024 (2023) - [c22]Efstratios Zacharelos, Ciro Scognamillo, Ettore Napoli, Diego Gragnaniello:
On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing. BioCAS 2023: 1-5 - [c21]Diego Gragnaniello, Antonio Greco, Carlo Sansone, Bruno Vento:
ONFIRE Contest 2023: Real-Time Fire Detection on the Edge. ICIAP Workshops (1) 2023: 273-281 - 2022
- [j15]Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Daniel Riccio:
Virtual special issue on advances in digital security: Biometrics and forensics. Pattern Recognit. Lett. 159: 220-221 (2022) - [p1]Diego Gragnaniello, Francesco Marra, Luisa Verdoliva:
Detection of AI-Generated Synthetic Faces. Handbook of Digital Face Manipulation and Detection 2022: 191-212 - 2021
- [j14]Rama Chellappa, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Richa Singh:
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. Comput. Vis. Image Underst. 208-209: 103227 (2021) - [j13]Diego Gragnaniello, Francesco Marra, Luisa Verdoliva, Giovanni Poggi:
Perceptual quality-preserving black-box attack against deep learning image classifiers. Pattern Recognit. Lett. 147: 142-149 (2021) - [c20]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: 48-51 - [c19]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: 1-6 - [c18]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. VCIP 2021: 1-5 - [i10]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 abs/2104.02617 (2021) - [i9]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. CoRR abs/2112.12606 (2021) - 2020
- [j12]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: 133488-133502 (2020) - [j11]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: 1 (2020) - [c17]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: 10493-10499 - [i8]Davide Cozzolino, Francesco Marra, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Combining PRNU and noiseprint for robust and efficient device source identification. CoRR abs/2001.06440 (2020) - [i7]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 abs/2011.00337 (2020)
2010 – 2019
- 2019
- [j10]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): 437-448 (2019) - [c16]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
Do GANs Leave Artificial Fingerprints? MIPR 2019: 506-511 - [i6]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers. CoRR abs/1902.07776 (2019) - [i5]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection. CoRR abs/1909.06751 (2019) - 2018
- [j9]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: 73-81 (2018) - [j8]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: 159-171 (2018) - [j7]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva:
On the vulnerability of deep learning to adversarial attacks for camera model identification. Signal Process. Image Commun. 65: 240-248 (2018) - [c15]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors. EUSIPCO 2018: 967-971 - [c14]Francesco Marra, Diego Gragnaniello, Davide Cozzolino, Luisa Verdoliva:
Detection of GAN-Generated Fake Images over Social Networks. MIPR 2018: 384-389 - [i4]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Analysis of adversarial attacks against CNN-based image forgery detectors. CoRR abs/1808.08426 (2018) - [i3]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
Do GANs leave artificial fingerprints? CoRR abs/1812.11842 (2018) - 2017
- [c13]Nadia Brancati, Maria Frucci, Diego Gragnaniello, Daniel Riccio:
Retinal Vessels Segmentation Based on a Convolutional Neural Network. CIARP 2017: 119-126 - [c12]Daniel Riccio, Nadia Brancati, Maria Frucci, Diego Gragnaniello:
An Unsupervised Approach for Eye Sclera Segmentation. CIARP 2017: 550-557 - [c11]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: 733-741 - 2016
- [j6]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Cell image classification by a scale and rotation invariant dense local descriptor. Pattern Recognit. Lett. 82: 72-78 (2016) - [j5]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Using iris and sclera for detection and classification of contact lenses. Pattern Recognit. Lett. 82: 251-257 (2016) - [j4]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): 2118-2130 (2016) - [c10]Diego Gragnaniello, Carlo Sansone, Giovanni Poggi, Luisa Verdoliva:
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. SITIS 2016: 193-198 - [c9]Nadia Brancati, Diego Gragnaniello, Luisa Verdoliva:
Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications. SITIS 2016: 199-203 - 2015
- [j3]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Local contrast phase descriptor for fingerprint liveness detection. Pattern Recognit. 48(4): 1050-1058 (2015) - [j2]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Iris liveness detection for mobile devices based on local descriptors. Pattern Recognit. Lett. 57: 81-87 (2015) - [j1]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
An Investigation of Local Descriptors for Biometric Spoofing Detection. IEEE Trans. Inf. Forensics Secur. 10(4): 849-863 (2015) - [c8]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: 513-518 - [c7]Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva:
SAR despeckling based on soft classification. IGARSS 2015: 2378-2381 - 2014
- [c6]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery detection through residual-based local descriptors and block-matching. ICIP 2014: 5297-5301 - [c5]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques. ICIP 2014: 5302-5306 - [c4]Diego Gragnaniello, Carlo Sansone, Luisa Verdoliva:
Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification. I3A@ICPR 2014: 1-5 - [c3]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor. SITIS 2014: 560-565 - 2013
- [i2]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
A novel framework for image forgery localization. CoRR abs/1311.6932 (2013) - [i1]Davide Cozzolino, Diego Gragnaniello, Luisa Verdoliva:
Image forgery detection based on the fusion of machine learning and block-matching methods. CoRR abs/1311.6934 (2013) - 2012
- [c2]Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval:
A convex variational approach for multiple removal in seismic data. EUSIPCO 2012: 215-219 - [c1]Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Classification-based nonlocal SAR despeckling. TyWRRS 2012: 121-125
Coauthor Index
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