| 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 | 238 | 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 | 226 | 2019 |
| A wide-angle view at iterated shrinkage algorithms M Elad, B Matalon, J Shtok, M Zibulevsky Wavelets XII 6701, 15-33, 2007 | 147 | 2007 |
| 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 | 74 | 2019 |
| 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 | 53 | 2017 |
| 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 | 53 | 2015 |
| 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 | 32 | 2011 |
| Image reconstruction in computed tomography M Elad, J Shtok, M Zibulevsky US Patent 9,036,885, 2015 | 18 | 2015 |
| Systems and methods for identifying a target object in an image S Harary, L Karlinsky, M Marder, J Shtok, A Tzadok US Patent 10,229,347, 2019 | 14 | 2019 |
| 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 | 12 | 2008 |
| RepMet: Representative-based metric learning for classification and one-shot object detection L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ... arXiv preprint arXiv:1806.04728, 2018 | 9 | 2018 |
| Starnet: towards weakly supervised few-shot object detection L Karlinsky, J Shtok, A Alfassy, M Lichtenstein, S Harary, E Schwartz, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1743-1753, 2021 | 7 | 2021 |
| Learned shrinkage approach for low-dose reconstruction in computed tomography J Shtok, M Elad, M Zibulevsky International Journal of Biomedical Imaging 2013, 2013 | 6 | 2013 |
| Hybrid remote expert-an emerging pattern ofindustrial remote support E Hadar, J Shtok, B Cohen, Y Tzur, L Karlinsky | 6 | 2011 |
| Detector-Free Weakly Supervised Grounding by Separation A Arbelle, S Doveh, A Alfassy, J Shtok, G Lev, E Schwartz, H Kuehne, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
| 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 | 5 | 2020 |
| 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 1, 2020 | 4 | 2020 |
| Direct adaptive algorithms for CT reconstruction J Shtok, M Elad, M Zibulevsky 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 4 | 2009 |
| Systems and methods for training a model using a few-shot classification process L Karlinsky, J Shtok US Patent App. 16/581,892, 2021 | 2 | 2021 |
| Systems and methods for identifying a target object in an image S Harary, L Karlinsky, M Marder, J Shtok, A Tzadok US Patent 10,395,143, 2019 | 2 | 2019 |
Leonid KarlinskyResearch Scientist & Manager, IBM Research AIVerified email at weizmann.ac.il
