Autoencoders D Bank, N Koenigstein, R Giryes Machine learning for data science handbook: data mining and knowledge …, 2023 | 904 | 2023 |
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 | 653 | 2019 |
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 31, 2018 | 421 | 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 | 402 | 2019 |
Robust large margin deep neural networks J Sokolić, R Giryes, G Sapiro, MRD Rodrigues IEEE Transactions on Signal Processing 65 (16), 4265-4280, 2017 | 328 | 2017 |
Latent-nerf for shape-guided generation of 3d shapes and textures G Metzer, E Richardson, O Patashnik, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 286 | 2023 |
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 | 241 | 2018 |
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 | 236 | 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 | 231 | 2018 |
Point2mesh: A self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or arXiv preprint arXiv:2005.11084, 2020 | 224 | 2020 |
Image restoration by iterative denoising and backward projections T Tirer, R Giryes IEEE Transactions on Image Processing 28 (3), 1220-1234, 2018 | 207 | 2018 |
Mathematics of deep learning R Vidal, J Bruna, R Giryes, S Soatto arXiv preprint arXiv:1712.04741, 2017 | 159 | 2017 |
Texture: Text-guided texturing of 3d shapes E Richardson, G Metzer, Y Alaluf, R Giryes, D Cohen-Or ACM SIGGRAPH 2023 conference proceedings, 1-11, 2023 | 150 | 2023 |
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 | 149 | 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 | 148 | 2011 |
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 | 147 | 2018 |
Generalization error in deep learning D Jakubovitz, R Giryes, MRD Rodrigues Compressed Sensing and Its Applications: Third International MATHEON …, 2019 | 146 | 2019 |
Detecting adversarial samples using influence functions and nearest neighbors G Cohen, G Sapiro, R Giryes Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 138 | 2020 |
Laso: Label-set operations networks for multi-label few-shot learning A Alfassy, L Karlinsky, A Aides, J Shtok, S Harary, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 135 | 2019 |
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 | 129 | 2018 |