| Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017 | 147 | 2017 |
| Deep neural networks with random gaussian weights: A universal classification strategy? R Giryes, G Sapiro, AM Bronstein IEEE Transactions on Signal Processing 64 (13), 3444-3457, 2016 | 144 | 2016 |
| The projected GSURE for automatic parameter tuning in iterative shrinkage methods R Giryes, M Elad, YC Eldar Applied and Computational Harmonic Analysis 30 (3), 407-422, 2011 | 123 | 2011 |
| Greedy-like algorithms for the cosparse analysis model R Giryes, S Nam, M Elad, R Gribonval, ME Davies Linear Algebra and its Applications 441, 22-60, 2014 | 113 | 2014 |
| Sparsity based poisson denoising with dictionary learning R Giryes, M Elad IEEE Transactions on Image Processing 23, 2013 | 88 | 2013 |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ... Advances in Neural Information Processing Systems, 2845-2855, 2018 | 81 | 2018 |
| RIP-based near-oracle performance guarantees for SP, CoSaMP, and IHT R Giryes, M Elad IEEE Transactions on Signal Processing 60 (3), 1465-1468, 2011 | 79* | 2011 |
| MeshCNN: a network with an edge R Hanocka, A Hertz, N Fish, R Giryes, S Fleishman, D Cohen-Or ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 73 | 2019 |
| Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017 | 68 | 2017 |
| Poisson inverse problems by the plug-and-play scheme A Rond, R Giryes, M Elad Journal of Visual Communication and Image Representation 41, 96-108, 2016 | 65 | 2016 |
| Tradeoffs between convergence speed and reconstruction accuracy in inverse problems R Giryes, YC Eldar, AM Bronstein, G Sapiro IEEE Transactions on Signal Processing 66 (7), 1676-1690, 2018 | 54 | 2018 |
| Improving dnn robustness to adversarial attacks using jacobian regularization D Jakubovitz, R Giryes Proceedings of the European Conference on Computer Vision (ECCV), 514-529, 2018 | 52 | 2018 |
| DeepISP: Toward learning an end-to-end image processing pipeline E Schwartz, R Giryes, AM Bronstein IEEE Transactions on Image Processing 28 (2), 912-923, 2018 | 50* | 2018 |
| Postprocessing of compressed images via sequential denoising Y Dar, AM Bruckstein, M Elad, R Giryes IEEE Transactions on Image Processing 25 (7), 3044-3058, 2016 | 49 | 2016 |
| Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018 | 46 | 2018 |
| Deep class-aware image denoising T Remez, O Litany, R Giryes, AM Bronstein 2017 international conference on sampling theory and applications (SampTA …, 2017 | 41 | 2017 |
| Deep convolutional denoising of low-light images T Remez, O Litany, R Giryes, AM Bronstein arXiv preprint arXiv:1701.01687, 2017 | 40 | 2017 |
| Repmet: Representative-based metric learning for classification and few-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 38 | 2019 |
| Uniq: Uniform noise injection for non-uniform quantization of neural networks C Baskin, E Schwartz, E Zheltonozhskii, N Liss, R Giryes, AM Bronstein, ... arXiv preprint arXiv:1804.10969, 2018 | 38 | 2018 |
| Learned convolutional sparse coding H Sreter, R Giryes 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 33 | 2018 |
Michael EladProfessor of Computer Science, Technion, IsraelVerifierad e-postadress på cs.technion.ac.il
