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2020 – today
- 2024
[j54]Diangarti Tariang
, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn't There yet. IEEE Secur. Priv. 22(3): 37-49 (2024)- [c102]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CVPR Workshops 2024: 4356-4366 - [c101]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. ECCV (18) 2024: 54-72 - [c100]Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva:
M3DSYNTH: A Dataset of Medical 3D Images with AI-Generated Local Manipulations. ICASSP 2024: 13176-13180 - [c99]Giuseppe Guarino, Matteo Ciotola, Giovanni Poggi, Gemine Vivone, Giuseppe Scarpa:
Hybrid GSA-CNN Method for Hyperspectral Pansharpening. IGARSS 2024: 901-904 - [c98]Matteo Ciotola, Giuseppe Guarino, Giovanni Poggi, Giuseppe Scarpa:
Balancing Spectral and Spatial Quality in CNN-Based Unsupervised Pansharpening. IGARSS 2024: 1091-1094 - [c97]Giuseppe Guarino, Antonio Mazza, Giuliano Di Giuseppe, Giovanni Poggi, Gemine Vivone, Giuseppe Scarpa:
CNN-Based NO2 Estimation from Sentinel-5P Data: A Proof-of-Concept. IGARSS 2024: 5744-5747 - [c96]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models. IH&MMSec 2024: 289-294 - [c95]Vincenzo De Rosa, Fabrizio Guillaro, Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection. WIFS 2024: 1-6 - [i29]Diangarti Tariang, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet. CoRR abs/2405.00196 (2024) - [i28]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models. CoRR abs/2405.02179 (2024) - [i27]Matteo Ciotola, Giuseppe Guarino, Gemine Vivone, Giovanni Poggi, Jocelyn Chanussot, Antonio Plaza, Giuseppe Scarpa:
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives. CoRR abs/2407.01355 (2024) - [i26]Vincenzo De Rosa, Fabrizio Guillaro, Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection. CoRR abs/2407.19553 (2024) - [i25]Davide Cozzolino, Giovanni Poggi, Matthias Nießner, Luisa Verdoliva:
Zero-Shot Detection of AI-Generated Images. CoRR abs/2409.15875 (2024) - 2023
- [j53]Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa:
PCA-CNN Hybrid Approach for Hyperspectral Pansharpening. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j52]Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Unsupervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [c94]Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models. CVPR Workshops 2023: 973-982 - [c93]Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On The Detection of Synthetic Images Generated by Diffusion Models. ICASSP 2023: 1-5 - [c92]Antonio Mazza, Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Synergic Use of SAR and Optical Data for Feature Extraction. IGARSS 2023: 2061-2064 - [c91]Matteo Ciotola, Giuseppe Guarino, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by Efficient and Fast Unsupervised Target-Adaptive CNN. IGARSS 2023: 5579-5582 - [c90]Giuseppe Guarino, Matteo Ciotola, Gemine Vivone, Giovanni Poggi, Giuseppe Scarpa:
An Unsupervised CNN-Based Hyperspectral Pansharpening Method. IGARSS 2023: 5982-5985 - [i24]Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models. CoRR abs/2304.06408 (2023) - [i23]Matteo Ciotola, Giovanni Poggi, Giuseppe Scarpa:
Unsupervised Deep Learning-based Pansharpening with Jointly-Enhanced Spectral and Spatial Fidelity. CoRR abs/2307.14403 (2023) - [i22]Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa:
A full-resolution training framework for Sentinel-2 image fusion. CoRR abs/2307.14864 (2023) - [i21]Giada Zingarini, Davide Cozzolino, Riccardo Corvi, Giovanni Poggi, Luisa Verdoliva:
M3Dsynth: A dataset of medical 3D images with AI-generated local manipulations. CoRR abs/2309.07973 (2023) - [i20]Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. CoRR abs/2312.00195 (2023) - 2022
- [j51]Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by Convolutional Neural Networks in the Full Resolution Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c89]Maurizio De Micco, Fabio Zonfrilli, Massimiliano Maria Villone, Giovanni Poggi, Luisa Verdoliva, Vincenzo Guida:
FLUID: Formulated LiqUid Instability Dataset. BigMM 2022: 53-56 - [c88]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Deepfake audio detection by speaker verification. WIFS 2022: 1-6 - [i19]Alessandro Pianese, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Deepfake audio detection by speaker verification. CoRR abs/2209.14098 (2022) - [i18]Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva:
On the detection of synthetic images generated by diffusion models. CoRR abs/2211.00680 (2022) - 2021
- [j50]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) - [c87]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 - [c86]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 - [c85]Antonio Mazza, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Impact of Training Set Design in CNN-Based Sar Image Despeckling. IGARSS 2021: 415-418 - [c84]Matteo Ciotola, Mario Ragosta, Giovanni Poggi, Giuseppe Scarpa:
A Full-Resolution Training Framework for Sentinel-2 Image Fusion. IGARSS 2021: 1260-1263 - [c83]Antonio Mazza, Pasquale Sepe, Giovanni Poggi, Giuseppe Scarpa:
Cloud Segmentation of Sentinel-2 Images Using Convolutional Neural Network with Domain Adaptation. IGARSS 2021: 7236-7239 - [c82]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. VCIP 2021: 1-5 - [i17]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) - [i16]Matteo Ciotola, Sergio Vitale, Antonio Mazza, Giovanni Poggi, Giuseppe Scarpa:
Pansharpening by convolutional neural networks in the full resolution framework. CoRR abs/2111.08334 (2021) - [i15]Davide Cozzolino, Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Towards Universal GAN Image Detection. CoRR abs/2112.12606 (2021) - 2020
- [j49]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) - [j48]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) - [j47]Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa, Giovanni Poggi:
Nonlocal CNN SAR Image Despeckling. Remote. Sens. 12(6): 1006 (2020) - [c81]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 - [i14]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) - [i13]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) - [i12]Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva:
Deep learning methods for SAR image despeckling: trends and perspectives. CoRR abs/2012.05508 (2020)
2010 – 2019
- 2019
- [j46]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
A PatchMatch-Based Dense-Field Algorithm for Video Copy-Move Detection and Localization. IEEE Trans. Circuits Syst. Video Technol. 29(3): 669-682 (2019) - [j45]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided Patchwise Nonlocal SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 57(9): 6484-6498 (2019) - [c80]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Extracting camera-based fingerprints for video forensics. CVPR Workshops 2019: 130-137 - [c79]Davide Cozzolino, Luisa Verdoliva, Giuseppe Scarpa, Giovanni Poggi:
Nonlocal Sar Image Despeckling by Convolutional Neural Networks. IGARSS 2019: 5117-5120 - [c78]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
Do GANs Leave Artificial Fingerprints? MIPR 2019: 506-511 - [i11]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers. CoRR abs/1902.07776 (2019) - [i10]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
- [j44]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A deep learning approach for iris sensor model identification. Pattern Recognit. Lett. 113: 46-53 (2018) - [j43]Francescopaolo Sica, Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi:
The Offset-Compensated Nonlocal Filtering of Interferometric Phase. Remote. Sens. 10(9): 1359 (2018) - [j42]Francescopaolo Sica, Davide Cozzolino, Xiao Xiang Zhu, Luisa Verdoliva, Giovanni Poggi:
InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration. IEEE Trans. Geosci. Remote. Sens. 56(6): 3456-3467 (2018) - [c77]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Analysis of Adversarial Attacks against CNN-based Image Forgery Detectors. EUSIPCO 2018: 967-971 - [c76]Andrea De Giorgi, Gabriele Moser, Giovanni Poggi, Giuseppe Scarpa, Sebastiano B. Serpico:
Very High Resolution Optical Image Classification Using Watershed Segmentation and a Region-Based Kernel. IGARSS 2018: 1312-1315 - [c75]Francescopaolo Sica, Michele Martone, Muriel Pinheiro, Davide Cozzolino, Pau Prats-Iraola, Giovanni Poggi:
Exploiting Nonlocal Filters for High-Resolution Insar Dem Generation. IGARSS 2018: 2188-2191 - [c74]Sonia Tabti, Luisa Verdoliva, Giovanni Poggi:
Sparse-Coding Adapted to SAR Images with an Application to Despeckling. IGARSS 2018: 3695-3698 - [i9]Diego Gragnaniello, Francesco Marra, Giovanni Poggi, Luisa Verdoliva:
Analysis of adversarial attacks against CNN-based image forgery detectors. CoRR abs/1808.08426 (2018) - [i8]Sergio Vitale, Davide Cozzolino, Giuseppe Scarpa, Luisa Verdoliva, Giovanni Poggi:
Guided patch-wise nonlocal SAR despeckling. CoRR abs/1811.11872 (2018) - [i7]Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, Giovanni Poggi:
Do GANs leave artificial fingerprints? CoRR abs/1812.11842 (2018) - 2017
- [j41]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A study of co-occurrence based local features for camera model identification. Multim. Tools Appl. 76(4): 4765-4781 (2017) - [j40]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Blind PRNU-Based Image Clustering for Source Identification. IEEE Trans. Inf. Forensics Secur. 12(9): 2197-2211 (2017) - [j39]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A Reliable Order-Statistics-Based Approximate Nearest Neighbor Search Algorithm. IEEE Trans. Image Process. 26(1): 237-250 (2017) - [c73]Davide Cozzolino, Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-Based Forgery Localization in a Blind Scenario. ICIAP (2) 2017: 569-579 - [c72]Davide Cozzolino, Gerardo Di Martino, Giovanni Poggi, Luisa Verdoliva:
A fully convolutional neural network for low-complexity single-stage ship detection in Sentinel-1 SAR images. IGARSS 2017: 886-889 - [c71]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. IGARSS 2017: 5438-5441 - [c70]Raffaele Gaetano, Davide Cozzolino, Luca D'Amiano, Luisa Verdoliva, Giovanni Poggi:
Fusion of sar-optical data for land cover monitoring. IGARSS 2017: 5470-5473 - [c69]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection. IH&MMSec 2017: 159-164 - [c68]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Training convolutional neural networks for semantic classification of remote sensing imagery. JURSE 2017: 1-4 - [c67]Dario D'Avino, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Autoencoder with recurrent neural networks for video forgery detection. Media Watermarking, Security, and Forensics 2017: 92-99 - [c66]Marco Castelluccio, Carlo Sansone, Luisa Verdoliva, Giovanni Poggi:
Automatically analyzing groups of crashes for finding correlations. ESEC/SIGSOFT FSE 2017: 717-726 - [i6]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection. CoRR abs/1703.04615 (2017) - [i5]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
A PatchMatch-based Dense-field Algorithm for Video Copy-Move Detection and Localization. CoRR abs/1703.04636 (2017) - [i4]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. CoRR abs/1704.00275 (2017) - [i3]Dario D'Avino, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Autoencoder with recurrent neural networks for video forgery detection. CoRR abs/1708.08754 (2017) - 2016
- [j38]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) - [j37]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) - [j36]Gerardo Di Martino, Alessio Di Simone, Antonio Iodice, Giovanni Poggi, Daniele Riccio, Luisa Verdoliva:
Scattering-Based SARBM3D. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(6): 2131-2144 (2016) - [c65]Diego Gragnaniello, Carlo Sansone, Giovanni Poggi, Luisa Verdoliva:
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. SITIS 2016: 193-198 - [c64]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Correlation clustering for PRNU-based blind image source identification. WIFS 2016: 1-6 - 2015
- [j35]Luisa Verdoliva, Raffaele Gaetano, Giuseppe Ruello, Giovanni Poggi:
Optical-Driven Nonlocal SAR Despeckling. IEEE Geosci. Remote. Sens. Lett. 12(2): 314-318 (2015) - [j34]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Local contrast phase descriptor for fingerprint liveness detection. Pattern Recognit. 48(4): 1050-1058 (2015) - [j33]Francescopaolo Sica, Diego Reale, Giovanni Poggi, Luisa Verdoliva, Gianfranco Fornaro:
Nonlocal Adaptive Multilooking in SAR Multipass Differential Interferometry. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(4): 1727-1742 (2015) - [j32]Raffaele Gaetano, Giuseppe Masi, Giovanni Poggi, Luisa Verdoliva, Giuseppe Scarpa:
Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 53(6): 2987-3004 (2015) - [j31]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) - [j30]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Efficient Dense-Field Copy-Move Forgery Detection. IEEE Trans. Inf. Forensics Secur. 10(11): 2284-2297 (2015) - [c63]Francesco Marra, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Evaluation of Residual-Based Local Features for Camera Model Identification. ICIAP Workshops 2015: 11-18 - [c62]Luca D'Amiano, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Video forgery detection and localization based on 3D patchmatch. ICME Workshops 2015: 1-6 - [c61]Giuseppe Masi, Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Superpixel-based segmentation of remote sensing images through correlation clustering. IGARSS 2015: 1028-1031 - [c60]Diego Gragnaniello, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva:
SAR despeckling based on soft classification. IGARSS 2015: 2378-2381 - [c59]Giuseppe Masi, Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
A ground truth design tool for multiresolution images. IGARSS 2015: 4999-5002 - [c58]Francesco Marra, Giovanni Poggi, Fabio Roli, Carlo Sansone, Luisa Verdoliva:
Counter-forensics in machine learning based forgery detection. Media Watermarking, Security, and Forensics 2015: 94090L - [c57]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Splicebuster: A new blind image splicing detector. WIFS 2015: 1-6 - [i2]Marco Castelluccio, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks. CoRR abs/1508.00092 (2015) - [i1]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A reliable order-statistics-based approximate nearest neighbor search algorithm. CoRR abs/1509.03453 (2015) - 2014
- [j29]Davide Cozzolino, Sara Parrilli, Giuseppe Scarpa, Giovanni Poggi, Luisa Verdoliva:
Fast Adaptive Nonlocal SAR Despeckling. IEEE Geosci. Remote. Sens. Lett. 11(2): 524-528 (2014) - [j28]Charles-Alban Deledalle, Loïc Denis, Giovanni Poggi, Florence Tupin, Luisa Verdoliva:
Exploiting Patch Similarity for SAR Image Processing: The nonlocal paradigm. IEEE Signal Process. Mag. 31(4): 69-78 (2014) - [j27]Raffaele Gaetano, Donato Amitrano, Giuseppe Masi, Giovanni Poggi, Giuseppe Ruello, Luisa Verdoliva, Giuseppe Scarpa:
Exploration of Multitemporal COSMO-SkyMed Data via Interactive Tree-Structured MRF Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(7): 2763-2775 (2014) - [j26]Gerardo Di Martino, Mariana Poderico, Giovanni Poggi, Daniele Riccio, Luisa Verdoliva:
Benchmarking Framework for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 52(3): 1596-1615 (2014) - [j25]Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection. IEEE Trans. Inf. Forensics Secur. 9(4): 554-567 (2014) - [c56]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Guided filtering for PRNU-based localization of small-size image forgeries. ICASSP 2014: 6231-6235 - [c55]Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
Copy-move forgery detection based on PatchMatch. ICIP 2014: 5312-5316 - [c54]Luisa Verdoliva, Donato Amitrano, Raffaele Gaetano, Giuseppe Ruello, Giovanni Poggi:
SAR despeckling guided by an optical image. IGARSS 2014: 3698-3701 - [c53]Raffaele Gaetano, Donato Amitrano, Giuseppe Masi, Giovanni Poggi, Giuseppe Ruello, Luisa Verdoliva, Giuseppe Scarpa:
Interactive segmentation of high resolution synthetic aperture radar data by tree-structured MRF. IGARSS 2014: 3734-3737 - [c52]Diego Gragnaniello, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor. SITIS 2014: 560-565 - [c51]Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi:
A feature-based approach for image tampering detection and localization. WIFS 2014: 149-154 - 2013
- [j24]Giovanni Poggi, Davide Cozzolino, Luisa Verdoliva:
Self-organizing maps for the design of multiple description vector quantizers. Neurocomputing 122: 298-309 (2013) - [c50]Gerardo Di Martino, Giovanni Pecoraro, Giovanni Poggi, Daniele Riccio, Luisa Verdoliva:
Extracting Compact Information from Image Benchmarking Tools: The SAR Despeckling Case. ICIAP (2) 2013: 11-20 - [c49]Giuseppe Masi, Giuseppe Scarpa, Raffaele Gaetano, Giovanni Poggi:
A Watershed-Based Segmentation Technique for Multiresolution Data. ICIAP (1) 2013: 241-250 - [c48]Giuseppe Scarpa, Giuseppe Masi, Raffaele Gaetano, Luisa Verdoliva, Giovanni Poggi:
Dynamic Hierarchical Segmentation of Remote Sensing Images. ICIAP (1) 2013: 371-380 - [c47]Gerardo Di Martino, Giovanni Poggi, Daniele Riccio, Luisa Verdoliva:
Effects of despeckling on the estimation of fractal dimension from SAR images. IGARSS 2013: 3950-3953 - [c46]Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-based forgery detection with regularity constraints and global optimization. MMSP 2013: 236-241 - 2012
- [c45]Angelo Cozzolino, Francesco Flammini, Valentina Galli, Mariangela Lamberti, Giovanni Poggi, Concetta Pragliola:
Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance. ACIVS 2012: 142-154 - [c44]Gerardo Di Martino, Mariana Poderico, Giovanni Poggi, Daniele Riccio, Luisa Verdoliva:
SAR image simulation for the assessment of despeckling techniques. IGARSS 2012: 1797-1800 - [c43]Raffaele Gaetano, Giuseppe Masi, Giuseppe Scarpa, Giovanni Poggi:
A marker-controlled watershed segmentation: Edge, mark and fill. IGARSS 2012: 4315-4318 - [c42]Giuseppe Scarpa, Giuseppe Masi, Luisa Verdoliva, Giovanni Poggi, Raffaele Gaetano:
Recursive-TFR Algorithm for Segmentation of Remotely Sensed Images. SITIS 2012: 174-181 - [c41]Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
A Comparative Analysis of Forgery Detection Algorithms. SSPR/SPR 2012: 693-700 - [c40]Diego Gragnaniello, Giovanni Poggi, Luisa Verdoliva:
Classification-based nonlocal SAR despeckling. TyWRRS 2012: 121-125 - [c39]Giovanni Poggi, Francescopaolo Sica, Luisa Verdoliva, Gianfranco Fornaro, Diego Reale, Simona Verde:
Non-local methods for filtering interferometric SAR datasets. TyWRRS 2012: 136-139 - [c38]Marcella Matrecano, Giovanni Poggi, Luisa Verdoliva:
Improved BM3D for Correlated Noise Removal. VISAPP (1) 2012: 129-134 - 2011
- [c37]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, Carlo Sansone:
PRNU-based detection of small-size image forgeries. DSP 2011: 1-6 - [c36]Raffaele Gaetano, Josiane Zerubia, Giuseppe Scarpa, Giovanni Poggi:
Morphological road segmentation in urban areas from high resolution satellite images. DSP 2011: 1-8 - 2010
- [c35]Giuseppe Masi, Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Dynamic segmentation for image information mining. IGARSS 2010: 1992-1995 - [c34]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
On the influence of denoising in PRNU based forgery detection. MiFor@MM 2010: 117-122 - [c33]Mariana Poderico, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva:
Sigmoid shrinkage for BM3D denoising algorithm. MMSP 2010: 423-426
2000 – 2009
- 2009
- [j23]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Hierarchical Texture-Based Segmentation of Multiresolution Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 47(7-2): 2129-2141 (2009) - [c32]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Recursive Texture Fragmentation and Reconstruction Segmentation Algorithm Applied to VHR Images. IGARSS (4) 2009: 101-104 - [c31]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Advances in Texture-based Segmentation of High Resolution Remote Sensing Imagery. IGARSS (4) 2009: 105-108 - [c30]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
Texture-Based Segmentation of Very High Resolution Remote-Sensing Images. ISDA 2009: 578-583 - 2008
- [c29]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi, Josiane Zerubia:
Unsupervised hierarchical image segmentation based on the TS-MRF model and fast Mean-Shift clustering. EUSIPCO 2008: 1-5 - [c28]Giovanni Poggi, Luisa Verdoliva:
Design of low-resolution multiple description vector quantizers by means of the Self Organizing Maps. EUSIPCO 2008: 1-5 - [c27]Giuseppe Scarpa, Raffaele Gaetano, Giovanni Poggi:
Texture image segmentation by hierarchical modeling. EUSIPCO 2008: 1-5 - [c26]Sara Parrilli, Luisa Verdoliva, Giovanni Poggi:
A SPIHT-like image coder based on the contourlet transform. ICIP 2008: 2908-2911 - [c25]Raffaele Gaetano, Gabriele Moser, Giovanni Poggi, Giuseppe Scarpa, Sebastiano B. Serpico:
Region-Based Classification of Multisensor Optical-SAR Images. IGARSS (4) 2008: 81-84 - 2007
- [j22]Marco Cagnazzo, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva:
Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform. EURASIP J. Image Video Process. 2007 (2007) - [j21]Marco Cagnazzo, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva:
Improved Class-Based Coding of Multispectral Images With Shape-Adaptive Wavelet Transform. IEEE Geosci. Remote. Sens. Lett. 4(4): 566-570 (2007) - [j20]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva:
Region-Based Transform Coding of Multispectral Images. IEEE Trans. Image Process. 16(12): 2916-2926 (2007) - [c24]Raffaele Gaetano, Giuseppe Scarpa, Giovanni Poggi:
A hierarchical segmentation algorithm for multiresolution satellite images. IGARSS 2007: 1885-1888 - 2006
- [j19]Marco Cagnazzo, Luca Cicala, Giovanni Poggi, Luisa Verdoliva:
Low-complexity compression of multispectral images based on classified transform coding. Signal Process. Image Commun. 21(10): 850-861 (2006) - [c23]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Identification of image structure by the mean shift procedure for hierarchical MRF-based image segmentation. EUSIPCO 2006: 1-4 - [c22]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Hierarchical Mrf-Based Segmentation of Remote-Sensing Images. ICIP 2006: 1121-1124 - 2005
- [j18]Giovanni Poggi, Giuseppe Scarpa, Josiane Zerubia:
Supervised segmentation of remote sensing images based on a tree-structured MRF model. IEEE Trans. Geosci. Remote. Sens. 43(8): 1901-1911 (2005) - [c21]Marco Cagnazzo, Luca Cicala, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva:
An unsupervised segmentation-based coder for multispectral images. EUSIPCO 2005: 1-4 - [c20]Raffaele Gaetano, Giovanni Poggi, Giuseppe Scarpa:
Multitemporal image classification with automatic building of tree-structured MRF models. EUSIPCO 2005: 1-4 - [c19]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva:
Costs and advantages of shape-adaptive wavelet transform for region-based image coding. ICIP (3) 2005: 197-200 - [c18]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva:
A comparison of flat and object-based transform coding techniques for the compression of multispectral images. ICIP (1) 2005: 657-660 - 2004
- [j17]Giancarlo Ferraiuolo, Giovanni Poggi:
A Bayesian filtering technique for SAR interferometric phase fields. IEEE Trans. Image Process. 13(10): 1368-1378 (2004) - [c17]Giovanni Poggi, Giuseppe Scarpa, Josiane Zerubia:
Segmentation of remote-sensing images by supervised TS-MRF. ICIP 2004: 1867-1870 - [c16]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva, Andrea Zinicola:
Region-oriented compression of multispfctral images by shape-adaptive wavelet transform and sphit. ICIP 2004: 2459-2462 - [c15]Ciro D'Elia, Claudio Marrocco, Mario Molinara, Giovanni Poggi, Giuseppe Scarpa, Francesco Tortorella:
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. ICPR (3) 2004: 742-745 - [c14]Marco Cagnazzo, Giovanni Poggi, Giuseppe Scarpa, Luisa Verdoliva:
Compression of multitemporal remote sensing images through Bayesian segmentation. IGARSS 2004: 83 - [c13]Luca Cicala, Giovanni Poggi, Giuseppe Scarpa:
Supervised segmentation of remote-sensing multitemporal images based on the tree-structured Markov random field model. IGARSS 2004: 1569-1572 - 2003
- [j16]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
A tree-structured Markov random field model for Bayesian image segmentation. IEEE Trans. Image Process. 12(10): 1259-1273 (2003) - [c12]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
Sequential Bayesian segmentation of remote sensing images. ICIP (3) 2003: 985-988 - [c11]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
Improved tree-structured segmentation of remote sensing images. IGARSS 2003: 1805-1807 - 2002
- [j15]Ciro D'Elia, Giovanni Poggi:
Self-organizing codebooks for trellis-coded VQ. IEEE Signal Process. Lett. 9(12): 404-406 (2002) - [c10]Ciro D'Elia, Giovanni Poggi, Giuseppe Scarpa:
An adaptive MRF model for boundary-preserving segmentation of multispectral images. EUSIPCO 2002: 1-4 - [c9]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva:
Low-Complexity Scalable Video Coding through Table Lookup VQ and Index Coding. IDMS/PROMS 2002: 166-175 - [c8]Giancarlo Ferraiuolo, Giovanni Poggi:
MAP-MRF filtering of SAR interferometric phase fields. IGARSS 2002: 2534-2536 - [c7]Marco Cagnazzo, Giovanni Poggi, Luisa Verdoliva:
The advantage of segmentation in SAR image compression. IGARSS 2002: 3320-3322 - 2001
- [j14]Giovanni Poggi, Arturo R. P. Ragozini:
Tree-structured product-codebook vector quantization. Signal Process. Image Commun. 16(5): 421-430 (2001) - [j13]Ciro D'Elia, Giovanni Poggi, Luisa Verdoliva:
Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization. IEEE Trans. Image Process. 10(9): 1278-1287 (2001) - 2000
- [j12]Pier Luigi Dragotti, Giovanni Poggi, Arturo R. P. Ragozini:
Compression of multispectral images by three-dimensional SPIHT algorithm. IEEE Trans. Geosci. Remote. Sens. 38(1): 416-428 (2000) - [j11]Giovanni Poggi, Arturo R. P. Ragozini, Luisa Verdoliva:
Compression of SAR data through range focusing and variable-rate vector quantization. IEEE Trans. Geosci. Remote. Sens. 38(3): 1282-1289 (2000)
1990 – 1999
- 1999
- [j10]Giovanni Poggi, Arturo R. P. Ragozini:
Image segmentation by tree-structured Markov random fields. IEEE Signal Process. Lett. 6(7): 155-157 (1999) - [j9]Giacinto Gelli, Giovanni Poggi:
Compression of multispectral images by spectral classification and transform coding. IEEE Trans. Image Process. 8(4): 476-489 (1999) - [c6]Giovanni Poggi, Arturo R. P. Ragozini:
Tree-structured product-codebook vector quantization. ICECS 1999: 441-444 - 1998
- [j8]Gerardo R. Canta, Giovanni Poggi:
Kronecker-product gain-shape vector quantization for multispectral and hyperspectral image coding. IEEE Trans. Image Process. 7(5): 668-678 (1998) - 1997
- [j7]Giovanni Poggi:
Letter: Low bit-rate vector quantization with progressive transmission. Eur. Trans. Telecommun. 8(2): 171-177 (1997) - [j6]Gerardo R. Canta, Giovanni Poggi:
Compression of multispectral images by address-predictive vector quantization. Signal Process. Image Commun. 11(2): 147-159 (1997) - [c5]Fabio Amato, Carmela Galdi, Giovanni Poggi:
Embedded Zerotree Wavelet Coding of Multispectral Images. ICIP (1) 1997: 612-615 - 1996
- [j5]Giovanni Poggi:
Generalized-cost-measure-based address-predictive vector quantization. IEEE Trans. Image Process. 5(1): 49-55 (1996) - [c4]Gerardo R. Canta, Luigi Paura, Giovanni Poggi:
Generalized gain-shape vector quantization for multispectral image coding. EUSIPCO 1996: 1-4 - [c3]Marco Finelli, Giacinto Gelli, Giovanni Poggi:
Multispectral-image coding by spectral classification. ICIP (2) 1996: 605-608 - [c2]Gerardo R. Canta, Giovanni Poggi:
Multispectral-image coding by vector quantization with Kronecker-product representation. ICIP (2) 1996: 931-934 - 1995
- [j4]Giovanni Poggi:
Applications of the kohonen algorithm in vector quantization. Eur. Trans. Telecommun. 6(2): 191-202 (1995) - [j3]Giovanni Poggi, Richard A. Olshen:
Pruned tree-structured vector quantization of medical images with segmentation and improved prediction. IEEE Trans. Image Process. 4(6): 734-742 (1995) - 1993
- [j2]Giovanni Poggi:
Address-Predictive Vector Quantization of Images by Topology-Preserving Codebook Ordering. Eur. Trans. Telecommun. 4(4): 423-434 (1993) - [c1]Giovanni Poggi, Elvira Sasso:
Codebook ordering techniques for address-predictive VQ. ICASSP (5) 1993: 586-589 - 1992
- [j1]Luciano Izzo, Luigi Paura, Giovanni Poggi:
An interference-tolerant algorithm for localization of cyclostationary-signal sources. IEEE Trans. Signal Process. 40(7): 1682-1686 (1992)
Coauthor Index
[j54] [c102] [c101] [c100] [c96] [c95] [i29] [i28] [i26] [i25] [c94] [c93] [i24] [i21] [i20] [c88] [i19] [i18] [c86] [c82] [i17] [i15] [j48] [j47] [i14] [j46] [j45] [c80] [c79] [j43] [j42] [c75] [i8] [j39] [c73] [c72] [c71] [c70] [c69] [c67] [i6] [i5] [i4] [i3] [j30] [c62] [c57] [i1] [j29] [c56] [c55] [c51] [j24] [c41]
[c99] [c98] [c97] [i27] [j53] [j52] [c92] [c91] [c90] [i23] [i22] [j51] [c85] [c84] [c83] [i16] [j47] [i12] [j45] [c79] [c76] [i8] [j37] [j32] [c61] [c60] [c59] [j29] [j27] [c53] [c49] [c48] [c43] [c42] [c36] [c35] [j23] [c32] [c31] [c30] [c29] [c27] [c25] [c24] [c23] [c22] [j18] [c21] [c20] [c17] [c15] [c14] [c13] [j16] [c12] [c11] [c10]
[j54] [c102] [c101] [c100] [c96] [c95] [i29] [i28] [i26] [i25] [c94] [c93] [i24] [i21] [i20] [c89] [c88] [i19] [i18] [j50] [c87] [c86] [c85] [c82] [i17] [i15] [j49] [j48] [j47] [c81] [i14] [i13] [i12] [j46] [j45] [c80] [c79] [c78] [i11] [i10] [j44] [j43] [j42] [c77] [c74] [i9] [i8] [i7] [j41] [j40] [j39] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i6] [i5] [i4] [i3] [j38] [j37] [j36] [c65] [c64] [j35] [j34] [j33] [j32] [j31] [j30] [c63] [c62] [c60] [c58] [c57] [i2] [i1] [j29] [j28] [j27] [j26] [j25] [c56] [c55] [c54] [c53] [c52] [c51] [j24] [c50] [c48] [c47] [c46] [c44] [c42] [c41] [c40] [c39] [c38] [c37] [c34] [c33] [c28] [c26] [j22] [j21] [j20] [j19] [c21] [c19] [c18] [c16] [c14] [c9] [c7] [j13] [j11]
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