| 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 | 196 | 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 | 176 | 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 | 113* | 2015 |
| 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 | 93 | 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 | 81 | 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 | 70 | 2014 |
| 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 | 66 | 2019 |
| 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 | 55 | 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 | 50 | 2011 |
| Higra: Hierarchical graph analysis B Perret, G Chierchia, J Cousty, SJF Guimaraes, Y Kenmochi, L Najman SoftwareX 10, 100335, 2019 | 30 | 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 | 26 | 2019 |
| Ultrametric fitting by gradient descent G Chierchia, B Perret Advances in neural information processing systems 32, 2019 | 24 | 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 | 23 | 2016 |
| An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor G Chierchia, N Pustelnik, JC Pesquet, B Pesquet-Popescu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 20 | 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 | 19 | 2020 |
| 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 | 19 | 2013 |
| Deeply transformed subspace clustering J Maggu, A Majumdar, E Chouzenoux, G Chierchia Signal Processing 174, 107628, 2020 | 18 | 2020 |
| Parallel implementations of a disparity estimation algorithm based on a proximal splitting method R Gaetano, G Chierchia, B Pesquet-Popescu 2012 Visual Communications and Image Processing, 1-6, 2012 | 17 | 2012 |
| Convolutional transform learning J Maggu, E Chouzenoux, G Chierchia, A Majumdar Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 15 | 2018 |
| 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 | 14 | 2021 |
Jean-Christophe PesquetDistinguished Professor at CentraleSupélec, Université Paris-SaclayBestätigte E-Mail-Adresse bei centralesupelec.fr
