| Faceforensics++: Learning to detect manipulated facial images A Rossler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner Proceedings of the IEEE/CVF international conference on computer vision, 1-11, 2019 | 2773 | 2019 |
| Pansharpening by convolutional neural networks G Masi, D Cozzolino, L Verdoliva, G Scarpa Remote Sensing 8 (7), 594, 2016 | 1040 | 2016 |
| Noiseprint: A CNN-based camera model fingerprint D Cozzolino, L Verdoliva IEEE Transactions on Information Forensics and Security 15, 144-159, 2019 | 501 | 2019 |
| 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 | 500 | 2018 |
| 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 | 489 | 2015 |
| Detection of gan-generated fake images over social networks F Marra, D Gragnaniello, D Cozzolino, L Verdoliva 2018 IEEE conference on multimedia information processing and retrieval …, 2018 | 441 | 2018 |
| Target-adaptive CNN-based pansharpening G Scarpa, S Vitale, D Cozzolino IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5443-5457, 2018 | 390 | 2018 |
| Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection D Cozzolino, G Poggi, L Verdoliva Proceedings of the 5th ACM workshop on information hiding and multimedia …, 2017 | 390 | 2017 |
| SAR image despeckling through convolutional neural networks G Chierchia, D Cozzolino, G Poggi, L Verdoliva 2017 IEEE international geoscience and remote sensing symposium (IGARSS …, 2017 | 331 | 2017 |
| 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 | 324 | 2018 |
| Splicebuster: A new blind image splicing detector D Cozzolino, G Poggi, L Verdoliva 2015 IEEE International Workshop on Information Forensics and Security (WIFS …, 2015 | 301 | 2015 |
| On the detection of synthetic images generated by diffusion models R Corvi, D Cozzolino, G Zingarini, G Poggi, K Nagano, L Verdoliva ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 265 | 2023 |
| Id-reveal: Identity-aware deepfake video detection D Cozzolino, A Rössler, J Thies, M Nießner, L Verdoliva Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 208 | 2021 |
| 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, 2013 | 206 | 2013 |
| Are GAN generated images easy to detect? A critical analysis of the state-of-the-art D Gragnaniello, D Cozzolino, F Marra, G Poggi, L Verdoliva 2021 IEEE international conference on multimedia and expo (ICME), 1-6, 2021 | 200 | 2021 |
| Single-image splicing localization through autoencoder-based anomaly detection D Cozzolino, L Verdoliva 2016 IEEE international workshop on information forensics and security (WIFS …, 2016 | 151 | 2016 |
| Copy-move forgery detection based on patchmatch D Cozzolino, G Poggi, L Verdoliva 2014 IEEE international conference on image processing (ICIP), 5312-5316, 2014 | 143 | 2014 |
| Autoencoder with recurrent neural networks for video forgery detection D D'Avino, D Cozzolino, G Poggi, L Verdoliva arXiv preprint arXiv:1708.08754, 2017 | 133 | 2017 |
| Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization F Guillaro, D Cozzolino, A Sud, N Dufour, L Verdoliva Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 130 | 2023 |
| Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques D Cozzolino, D Gragnaniello, L Verdoliva 2014 IEEE International Conference on Image Processing (ICIP), 5302-5306, 2014 | 126 | 2014 |
Luisa VerdolivaProfessor at University Federico II of Naples, Italyunina.it üzerinde doğrulanmış e-posta adresine sahip