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 | 271 | 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 | 220 | 2014 |
Epigraphical projection and proximal tools for solving constrained convex optimization problems G Chierchia, N Pustelnik, JC Pesquet, B Pesquet-Popescu Signal, Image and Video Processing 9, 1737-1749, 2015 | 129* | 2015 |
GOT: an optimal transport framework for graph comparison H Petric Maretic, M El Gheche, G Chierchia, P Frossard Advances in Neural Information Processing Systems 32, 2019 | 118 | 2019 |
On the influence of denoising in PRNU based forgery detection G Chierchia, S Parrilli, G Poggi, C Sansone, L Verdoliva Proceedings of the 2nd ACM Workshop on Multimedia in Forensics, Security and …, 2010 | 98 | 2010 |
A nonlocal structure tensor-based approach for multicomponent image recovery problems G Chierchia, N Pustelnik, B Pesquet-Popescu, JC Pesquet IEEE transactions on Image Processing 23 (12), 5531-5544, 2014 | 89 | 2014 |
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 | 77 | 2014 |
Multitemporal SAR image despeckling based on block-matching and collaborative filtering G Chierchia, M El Gheche, G Scarpa, L Verdoliva IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5467-5480, 2017 | 73 | 2017 |
PRNU-based detection of small-size image forgeries G Chierchia, S Parrilli, G Poggi, L Verdoliva, C Sansone 2011 17th International Conference on Digital Signal Processing (DSP), 1-6, 2011 | 60 | 2011 |
Higra: Hierarchical graph analysis B Perret, G Chierchia, J Cousty, SJF Guimaraes, Y Kenmochi, L Najman SoftwareX 10, 100335, 2019 | 51 | 2019 |
Machine‐learning‐assisted intelligent imaging flow cytometry: A review S Luo, Y Shi, LK Chin, PE Hutchinson, Y Zhang, G Chierchia, H Talbot, ... Advanced Intelligent Systems 3 (11), 2100073, 2021 | 36 | 2021 |
Ultrametric fitting by gradient descent G Chierchia, B Perret Advances in neural information processing systems 32, 2019 | 35 | 2019 |
A random block-coordinate Douglas–Rachford splitting method with low computational complexity for binary logistic regression LM Briceño-Arias, G Chierchia, E Chouzenoux, JC Pesquet Computational Optimization and Applications 72, 707-726, 2019 | 33 | 2019 |
Rate allocation in predictive video coding using a convex optimization framework A Fiengo, G Chierchia, M Cagnazzo, B Pesquet-Popescu IEEE Transactions on Image Processing 26 (1), 479-489, 2016 | 30 | 2016 |
The proximity operator repository G Chierchia, E Chouzenoux, PL Combettes, JC Pesquet User’s guide http://proximity-operator. net/download/guide. pdf. Accessed 6, 2020 | 29 | 2020 |
Convolutional transform learning J Maggu, E Chouzenoux, G Chierchia, A Majumdar Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 24 | 2018 |
PRNU-based forgery detection with regularity constraints and global optimization G Chierchia, G Poggi, C Sansone, L Verdoliva 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP …, 2013 | 24 | 2013 |
OrthoNet: multilayer network data clustering M El Gheche, G Chierchia, P Frossard IEEE Transactions on Signal and Information Processing over Networks 6, 152-162, 2020 | 23 | 2020 |
Wasserstein-based graph alignment HP Maretic, M El Gheche, M Minder, G Chierchia, P Frossard IEEE Transactions on Signal and Information Processing over Networks 8, 353-363, 2022 | 22 | 2022 |
Proximity operators of discrete information divergences M El Gheche, G Chierchia, JC Pesquet IEEE Transactions on Information Theory 64 (2), 1092-1104, 2017 | 22 | 2017 |