| 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 | 464 | 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 | 440 | 2019 |
| 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 | 152 | 2019 |
| Teaching structured vision & language concepts to vision & language models S Doveh, A Arbelle, S Harary, E Schwartz, R Herzig, R Giryes, R Feris, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 80 | 2023 |
| Multi-modal biometrics for mobile authentication H Aronowitz, M Li, O Toledo-Ronen, S Harary, A Geva, S Ben-David, ... IEEE International Joint Conference on Biometrics, 1-8, 2014 | 61 | 2014 |
| Using image analytics to monitor retail store shelves M Marder, S Harary, A Ribak, Y Tzur, S Alpert, A Tzadok IBM Journal of Research and Development 59 (2/3), 3: 1-3: 11, 2015 | 53 | 2015 |
| Dense and aligned captions (dac) promote compositional reasoning in vl models S Doveh, A Arbelle, S Harary, R Herzig, D Kim, P Cascante-Bonilla, ... Advances in Neural Information Processing Systems 36, 76137-76150, 2023 | 44 | 2023 |
| Unsupervised domain generalization by learning a bridge across domains S Harary, E Schwartz, A Arbelle, P Staar, S Abu-Hussein, E Amrani, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 43 | 2022 |
| MAEDAY: MAE for few-and zero-shot AnomalY-Detection E Schwartz, A Arbelle, L Karlinsky, S Harary, F Scheidegger, S Doveh, ... Computer Vision and Image Understanding 241, 103958, 2024 | 32 | 2024 |
| 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 | 31 | 2018 |
| 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 | 29 | 2019 |
| 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 | 23 | 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 | 22 | 2020 |
| Scalable detection of spatiotemporal encounters in historical movement data P Bak, M Marder, S Harary, A Yaeli, HJ Ship Computer Graphics Forum 31 (3pt1), 915-924, 2012 | 18 | 2012 |
| Feta: Towards specializing foundational models for expert task applications A Alfassy, A Arbelle, O Halimi, S Harary, R Herzig, E Schwartz, R Panda, ... Advances in Neural Information Processing Systems 35, 29873-29888, 2022 | 14 | 2022 |
| Semi-supervised price tag detection S Harary, M Marder US Patent 9,911,033, 2018 | 13 | 2018 |
| Active and efficient monitoring of a graphical user interface A Geva, S Harary, M Marder US Patent 9,600,298, 2017 | 10 | 2017 |
| Rotation invariant object detection S Harary, M Marder US Patent App. 15/146,905, 2017 | 8 | 2017 |
| 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 | 6 | 2020 |
| Image segmentation S Harary, NS Kropf, M Marder, CF Wiecha US Patent 9,300,828, 2016 | 6 | 2016 |
