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Joseph Shtok
Joseph Shtok
IBM Research Labs, Haifa, Israel
Verified email at il.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, A Kumar, R Feris, ...
Advances in neural information processing systems 31, 2018
2402018
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
2292019
A wide-angle view at iterated shrinkage algorithms
M Elad, B Matalon, J Shtok, M Zibulevsky
Wavelets XII 6701, 15-33, 2007
1472007
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
742019
Fine-grained recognition of thousands of object categories with single-example training
L Karlinsky, J Shtok, Y Tzur, A Tzadok
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
532017
Spatially-adaptive reconstruction in computed tomography using neural networks
D Boublil, M Elad, J Shtok, M Zibulevsky
IEEE transactions on medical imaging 34 (7), 1474-1485, 2015
532015
Sparsity-based sinogram denoising for low-dose computed tomography
J Shtok, M Elad, M Zibulevsky
2011 IEEE international conference on acoustics, speech and signal …, 2011
322011
Image reconstruction in computed tomography
M Elad, J Shtok, M Zibulevsky
US Patent 9,036,885, 2015
182015
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
142019
Adaptive filtered-back-projection for computed tomography
J Shtok, M Elad, M Zibulevsky
2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel …, 2008
122008
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
92021
RepMet: Representative-based metric learning for classification and one-shot object detection
L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ...
arXiv preprint arXiv:1806.04728, 2018
92018
Learned shrinkage approach for low-dose reconstruction in computed tomography
J Shtok, M Elad, M Zibulevsky
International Journal of Biomedical Imaging 2013, 2013
62013
Hybrid remote expert-an emerging pattern ofindustrial remote support
E Hadar, J Shtok, B Cohen, Y Tzur, L Karlinsky
62011
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
52021
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
42020
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
42020
Direct adaptive algorithms for CT reconstruction
J Shtok, M Elad, M Zibulevsky
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
42009
Systems and methods for training a model using a few-shot classification process
L Karlinsky, J Shtok
US Patent App. 16/581,892, 2021
22021
Systems and methods for identifying a target object in an image
S Harary, L Karlinsky, M Marder, J Shtok, A Tzadok
US Patent 10,395,143, 2019
22019
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Articles 1–20