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Eli Schwartz
Eli Schwartz
Research Scientist @IBM Research AI; PhD Candidate @Tel Aviv University
Zweryfikowany adres z ibm.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
3662018
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
361*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
1982018
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
142*2021
Baby steps towards few-shot learning with multiple semantics
E Schwartz, L Karlinsky, R Feris, R Giryes, AM Bronstein
Pattern Recognition Letters, 2022
832022
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
562021
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
472021
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
232019
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
21*2021
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
152022
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
152021
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
132021
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
122020
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
82023
ISP Distillation
E Schwartz, A Bronstein, R Giryes
IEEE Open Journal of Signal Processing, 2023
62023
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
52022
MAEDAY: MAE for few and zero shot AnomalY-Detection
E Schwartz, A Arbelle, L Karlinsky, S Harary, F Scheidegger, S Doveh, ...
arXiv preprint arXiv:2211.14307, 2022
52022
Method and system for end-to-end image processing
E Schwartz, R Giryes, A Bronstein
US Patent 10,997,690, 2021
52021
Imaging devices and methods for authenticating a user
E Shalev, S Katz, E Schwartz
US Patent App. 14/995,025, 2017
32017
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
22021
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