| Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017 | 161 | 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 | 155 | 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 | 127 | 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 | 117 | 2014 |
| 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 | 103 | 2019 |
| Delta-encoder: an effective sample synthesis method for few-shot object recognition E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, R Feris, A Kumar, ... arXiv preprint arXiv:1806.04734, 2018 | 101 | 2018 |
| Sparsity based poisson denoising with dictionary learning R Giryes, M Elad IEEE Transactions on Image Processing 23, 2013 | 94 | 2013 |
| Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017 | 85 | 2017 |
| 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 |
| 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 | 74 | 2016 |
| 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 | 70 | 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 | 68* | 2018 |
| 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/CVF Conference on Computer Vision and Pattern …, 2019 | 64 | 2019 |
| 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 | 58 | 2018 |
| Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018 | 54 | 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 | 53 | 2016 |
| Deep convolutional denoising of low-light images T Remez, O Litany, R Giryes, AM Bronstein arXiv preprint arXiv:1701.01687, 2017 | 47 | 2017 |
| Learned convolutional sparse coding H Sreter, R Giryes 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 45 | 2018 |
| Deep class-aware image denoising T Remez, O Litany, R Giryes, AM Bronstein 2017 international conference on sampling theory and applications (SampTA …, 2017 | 43 | 2017 |
| Depth estimation from a single image using deep learned phase coded mask H Haim, S Elmalem, R Giryes, AM Bronstein, E Marom IEEE Transactions on Computational Imaging 4 (3), 298-310, 2018 | 41 | 2018 |
Alex BronsteinTechnion, Department of Computer ScienceVerifierad e-postadress på technion.ac.il
