Eli Schwartz
Eli Schwartz
IBM Research AI; Tel Aviv University
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
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
1062018
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
702019
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
612018
Uniq: Uniform noise injection for non-uniform quantization of neural networks
C Baskin, E Schwartz, E Zheltonozhskii, N Liss, R Giryes, AM Bronstein, ...
arXiv preprint arXiv:1804.10969, 2018
312018
Nice: Noise injection and clamping estimation for neural network quantization
C Baskin, N Liss, Y Chai, E Zheltonozhskii, E Schwartz, R Giryes, ...
arXiv preprint arXiv:1810.00162, 2018
262018
Baby steps towards few-shot learning with multiple semantics
E Schwartz, L Karlinsky, R Feris, R Giryes, AM Bronstein
arXiv preprint arXiv:1906.01905, 2019
202019
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
162018
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, 2018
142018
DeepISP: learning end-to-end image processing pipeline
E Schwartz, R Giryes, AM Bronstein
142018
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
82019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
S Doveh, E Schwartz, C Xue, R Feris, A Bronstein, R Giryes, L Karlinsky
arXiv preprint arXiv:1912.00412, 2019
32019
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
22020
Imaging devices and methods for authenticating a user
E Shalev, S Katz, E Schwartz
US Patent App. 14/995,025, 2017
22017
ISP Distillation
E Schwartz, A Bronstein, R Giryes
arXiv preprint arXiv:2101.10203, 2021
2021
Fine-grained Angular Contrastive Learning with Coarse Labels
G Bukchin, E Schwartz, K Saenko, O Shahar, R Feris, R Giryes, ...
arXiv preprint arXiv:2012.03515, 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
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
Method and system for end-to-end image processing
E Schwartz, R Giryes, A Bronstein
US Patent App. 16/251,123, 2020
2020
Abhishek Kumar
A Kumar
Proceedings of the National Academy of Sciences, India Section A: Physical …, 0
Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level Download PDF Open Website
N Diamant, D Zadok, C Baskin, E Schwartz, AM Bronstein
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