| Faceforensics++: Learning to detect manipulated facial images A Rössler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner IEEE International Conference on Computer Vision (ICCV), 2019 | 2214 | 2019 |
| Pansharpening by convolutional neural networks G Masi, D Cozzolino, L Verdoliva, G Scarpa Remote Sensing 8 (7), 594, 2016 | 922 | 2016 |
| Land use classification in remote sensing images by convolutional neural networks M Castelluccio, G Poggi, C Sansone, L Verdoliva arXiv preprint arXiv:1508.00092, 2015 | 787 | 2015 |
| A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage S Parrilli, M Poderico, CV Angelino, L Verdoliva IEEE Transactions on Geoscience and Remote Sensing 50 (2), 606-616, 2012 | 752 | 2012 |
| Media forensics and deepfakes: an overview L Verdoliva IEEE Journal of Selected Topics in Signal Processing 14 (5), 910-932, 2020 | 612 | 2020 |
| Efficient dense-field copy-move forgery detection D Cozzolino, G Poggi, L Verdoliva IEEE Transactions on Information Forensics and Security 10 (11), 2284-2297, 2015 | 455 | 2015 |
| Faceforensics: A large-scale video dataset for forgery detection in human faces A Rössler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner arXiv preprint arXiv:1803.09179, 2018 | 439 | 2018 |
| Noiseprint: a CNN-based camera model fingerprint D Cozzolino, L Verdoliva IEEE Transactions on Information Forensics and Security 15 (1), 144-159, 2020 | 433 | 2020 |
| Detection of GAN-Generated Fake Images over Social Networks F Marra, D Gragnaniello, D Cozzolino, L Verdoliva IEEE Conference on Multimedia Information Processing and Retrieval (MIPR …, 2018 | 383 | 2018 |
| Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection D Cozzolino, G Poggi, L Verdoliva ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec), 2017 | 364 | 2017 |
| Do GANs leave artificial fingerprints? F Marra, D Gragnaniello, L Verdoliva, G Poggi IEEE Conference on Multimedia Information Processing and Retrieval (MIPR …, 2019 | 328 | 2019 |
| Forensictransfer: Weakly-supervised domain adaptation for forgery detection D Cozzolino, J Thies, A Rössler, C Riess, M Nießner, L Verdoliva arXiv preprint arXiv:1812.02510, 2018 | 293 | 2018 |
| Splicebuster: A new blind image splicing detector D Cozzolino, G Poggi, L Verdoliva IEEE International Workshop on Information Forensics and Security (WIFS), 1-6, 2015 | 278 | 2015 |
| SAR image despeckling through convolutional neural networks G Chierchia, D Cozzolino, G Poggi, L Verdoliva IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 | 274 | 2017 |
| A Bayesian-MRF Approach for PRNU-based Image Forgery Detection G Chierchia, G Poggi, C Sansone, L Verdoliva IEEE Transactions on Information Forensics and Security 9 (4), 554-567, 2014 | 218 | 2014 |
| An investigation of local descriptors for biometric spoofing detection D Gragnaniello, G Poggi, C Sansone, L Verdoliva IEEE Transactions on Information Forensics and Security 10 (4), 849-863, 2015 | 211 | 2015 |
| LivDet iris 2017—Iris liveness detection competition 2017 D Yambay, B Becker, N Kohli, D Yadav, A Czajka, KW Bowyer, ... IEEE International Joint Conference on Biometrics (IJCB), 733-741, 2017 | 189 | 2017 |
| Exploiting patch similarity for SAR image processing: the nonlocal paradigm C Deledalle, L Denis, G Poggi, F Tupin, L Verdoliva IEEE Signal Processing Magazine 31 (4), 69-78, 2014 | 189 | 2014 |
| Fast Adaptive Nonlocal SAR Despeckling D Cozzolino, S Parrilli, G Scarpa, G Poggi, L Verdoliva IEEE Geoscience and Remote Sensing Letters 11 (2), 524-528, 2014 | 189 | 2014 |
| Benchmarking Framework for SAR Despeckling GD Martino, M Poderico, G Poggi, D Riccio, L Verdoliva IEEE Transactions on Geoscience and Remote Sensing 52 (3), 1596-1615, 2014 | 173 | 2014 |
Giovanni PoggiUniversity Federico II of Naples, ITALY在 unina.it 的电子邮件经过验证
