| A wide-angle view at iterated shrinkage algorithms M Elad, B Matalon, J Shtok, M Zibulevsky Wavelets XII 6701, 670102, 2007 | 140 | 2007 |
| 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 | 96 | 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 Conference on Computer Vision and Pattern …, 2019 | 51 | 2019 |
| Spatially-adaptive reconstruction in computed tomography using neural networks D Boublil, M Elad, J Shtok, M Zibulevsky IEEE transactions on medical imaging 34 (7), 1474-1485, 2015 | 47 | 2015 |
| Fine-grained recognition of thousands of object categories with single-example training L Karlinsky, J Shtok, Y Tzur, A Tzadok Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 34 | 2017 |
| RepMet: Representative-based metric learning for classification and one-shot object detection E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, S Pankanti, R Feris, ... arXiv preprint arXiv:1806.04728 4323, 2018 | 28 | 2018 |
| Sparsity-based sinogram denoising for low-dose computed tomography J Shtok, M Elad, M Zibulevsky 2011 IEEE international conference on acoustics, speech and signal …, 2011 | 28 | 2011 |
| 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 Conference on Computer Vision and Pattern …, 2019 | 27 | 2019 |
| Image reconstruction in computed tomography M Elad, J Shtok, M Zibulevsky US Patent 9,036,885, 2015 | 17 | 2015 |
| Adaptive filtered-back-projection for computed tomography J Shtok, M Elad, M Zibulevsky 2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel …, 2008 | 15 | 2008 |
| Developing device and image forming apparatus H Miho US Patent 6,621,999, 2003 | 12 | 2003 |
| Learned shrinkage approach for low-dose reconstruction in computed tomography J Shtok, M Elad, M Zibulevsky International journal of biomedical imaging 2013, 2013 | 5 | 2013 |
| Hybrid remote expert-an emerging pattern ofindustrial remote support E Hadar, J Shtok, B Cohen, Y Tzur, L Karlinsky | 3 | 2011 |
| Direct adaptive algorithms for CT reconstruction J Shtok, M Elad, M Zibulevsky 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 3 | 2009 |
| StarNet: towards weakly supervised few-shot detection and explainable few-shot classification L Karlinsky, J Shtok, A Alfassy, M Lichtenstein, S Harary, E Schwartz, ... arXiv preprint arXiv:2003.06798, 2020 | 2 | 2020 |
| Spatially-adaptive reconstruction in computed tomography based on statistical learning J Shtok, M Zibulevsky, M Elad arXiv preprint arXiv:1004.4373, 2010 | 2 | 2010 |
| Analysis of Basis Pursuit via Capacity Sets J Shtok, M Elad Journal of Fourier Analysis and Applications 14 (5-6), 688-711, 2008 | 2 | 2008 |
| System, method and computer program product for training a three dimensional object indentification system and identifying three dimensional objects using semantic segments J Shtok, A Tzadok, T Yochay US Patent 9,836,673, 2017 | 1 | 2017 |
| Point depth estimation from a set of 3d-registered images J Shtok, T Yochay US Patent App. 16/409,933, 2020 | | 2020 |
| Representative-based metric learning for classification and few-shot object detection L Karlinsky, E Schwartz, J Shtok, M Marder, S Harary US Patent 10,832,096, 2020 | | 2020 |
Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
