| 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 | 455 | 2019 |
| ∆-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, ... Neural Information Processing Systems, 2018 | 452* | 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 | 271 | 2018 |
| UNIQ: Uniform noise injection for non-uniform quantization of neural networks C Baskin, N Liss, E Schwartz, E Zheltonozhskii, R Giryes, AM Bronstein, ... ACM Transactions on Computer Systems (TOCS) 37 (1-4), 1-15, 2021 | 188* | 2021 |
| Baby steps towards few-shot learning with multiple semantics E Schwartz, L Karlinsky, R Feris, R Giryes, AM Bronstein Pattern Recognition Letters, 2022 | 118 | 2022 |
| NICE: Noise injection and clamping estimation for neural network quantization C Baskin, E Zheltonozhkii, T Rozen, N Liss, Y Chai, E Schwartz, R Giryes, ... Mathematics 9 (17), 2144, 2021 | 70 | 2021 |
| Fine-grained angular contrastive learning with coarse labels G Bukchin, E Schwartz, K Saenko, O Shahar, R Feris, R Giryes, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 66 | 2021 |
| 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 | 65 | 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 | 39 | 2022 |
| Beholder-GAN: Generation and beautification of facial images with conditioning on their beauty level N Diamant, D Zadok, C Baskin, E Schwartz, AM Bronstein 2019 IEEE International Conference on Image Processing (ICIP), 739-743, 2019 | 32 | 2019 |
| StarNet: towards weakly supervised few-shot detection and explainable few-shot classification L Karlinsky, J Shtok, A Alfassy, M Lichtenstein, S Harary, E Schwartz, ... Proceedings of AAAI Conference on Artificial Intelligence 1, 2021 | 28* | 2021 |
| 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 | 26 | 2021 |
| 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 | 22 | 2024 |
| MetAdapt: meta-learned task-adaptive architecture for few-shot classification S Doveh, E Schwartz, C Xue, R Feris, A Bronstein, R Giryes, L Karlinsky Pattern Recognition Letters 149, 130-136, 2021 | 21 | 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 | 21 | 2020 |
| 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 | 15 | 2022 |
| ISP Distillation E Schwartz, A Bronstein, R Giryes IEEE Open Journal of Signal Processing, 2023 | 8 | 2023 |
| PIP: Positional-encoding Image Prior N Shabtay, E Schwartz, R Giryes arXiv preprint arXiv:2211.14298, 2022 | 7 | 2022 |
| NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning E Schwartz, L Choshen, J Shtok, S Doveh, L Karlinsky, A Arbelle Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 6 | 2024 |
| Imaging devices and methods for authenticating a user E Shalev, S Katz, E Schwartz US Patent App. 14/995,025, 2017 | 5 | 2017 |
Raja GiryesAssociate Professor, Tel Aviv UniversityBestätigte E-Mail-Adresse bei tauex.tau.ac.il
