Davide Cozzolino
Davide Cozzolino
Bestätigte E-Mail-Adresse bei unina.it
Titel
Zitiert von
Zitiert von
Jahr
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
4382019
Pansharpening by convolutional neural networks
G Masi, D Cozzolino, L Verdoliva, G Scarpa
Remote Sensing 8 (7), 594, 2016
3702016
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
2462015
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
1772018
Noiseprint: A CNN-based camera model fingerprint
D Cozzolino, L Verdoliva
arXiv preprint arXiv:1808.08396, 2018
1412018
Splicebuster: A new blind image splicing detector
D Cozzolino, G Poggi, L Verdoliva
2015 IEEE International Workshop on Information Forensics and Security (WIFS …, 2015
1352015
Target-adaptive CNN-based pansharpening
G Scarpa, S Vitale, D Cozzolino
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5443-5457, 2018
1342018
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
1282018
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
1282017
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
1272013
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
1162017
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
1052018
Copy-move forgery detection based on patchmatch
D Cozzolino, G Poggi, L Verdoliva
2014 IEEE international conference on image processing (ICIP), 5312-5316, 2014
882014
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
782014
Single-image splicing localization through autoencoder-based anomaly detection
D Cozzolino, L Verdoliva
2016 IEEE international workshop on information forensics and security (WIFS …, 2016
772016
Autoencoder with recurrent neural networks for video forgery detection
D D'Avino, D Cozzolino, G Poggi, L Verdoliva
Electronic Imaging 2017 (7), 92-99, 2017
702017
A feature-based approach for image tampering detection and localization
L Verdoliva, D Cozzolino, G Poggi
Information Forensics and Security (WIFS), 2014 IEEE International Workshop …, 2014
692014
Image forgery detection through residual-based local descriptors and block-matching
D Cozzolino, D Gragnaniello, L Verdoliva
2014 IEEE international conference on image processing (ICIP), 5297-5301, 2014
692014
Guided filtering for PRNU-based localization of small-size image forgeries
G Chierchia, D Cozzolino, G Poggi, C Sansone, L Verdoliva
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
522014
A patchmatch-based dense-field algorithm for video copy–move detection and localization
L D’Amiano, D Cozzolino, G Poggi, L Verdoliva
IEEE Transactions on Circuits and Systems for Video Technology 29 (3), 669-682, 2018
452018
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