| Delta-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 | 226 | 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 | 222 | 2019 |
| 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 | 133 | 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 | 72 | 2021 |
| Baby steps towards few-shot learning with multiple semantics E Schwartz, L Karlinsky, R Feris, R Giryes, AM Bronstein Pattern Recognition Letters, 2022 | 51 | 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 | 47 | 2021 |
| Uniq: Uniform noise injection for the quantization of neural networks C Baskin, E Schwartz, E Zheltonozhskii, N Liss, R Giryes, AM Bronstein, ... arXiv preprint arXiv:1804.10969 3, 2018 | 21 | 2018 |
| 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 | 17 | 2021 |
| 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 | 16 | 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 | 11* | 2021 |
| 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 | 7 | 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 |
| 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 | 4 | 2021 |
| ISP distillation E Schwartz, A Bronstein, R Giryes arXiv preprint arXiv:2101.10203, 2021 | 2 | 2021 |
| Imaging devices and methods for authenticating a user E Shalev, S Katz, E Schwartz US Patent App. 14/995,025, 2017 | 2 | 2017 |
| System and method for emulating quantization noise for a neural network C Baskin, E Schwartz, E Zheltonozhskii, A Bronstein, L Natan, ... US Patent App. 17/049,651, 2021 | 1 | 2021 |
| System and method for augmenting few-shot object classification with semantic information from multiple sources E Schwartz, L Karlinsky, RS Feris US Patent 11,263,488, 2022 | | 2022 |
| 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 | | 2022 |
| Method and system for end-to-end image processing E Schwartz, R Giryes, A Bronstein US Patent 10,997,690, 2021 | | 2021 |
| Out-of-sample generating few-shot classification networks L Karlinsky, M Marder, E Schwartz, J Shtok, S Harary US Patent 10,796,203, 2020 | | 2020 |
Alex BronsteinTechnion, Department of Computer ScienceVerified email at technion.ac.il
