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Joseph Shtok
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2020 – today
- 2024
- [i10]Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle:
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. CoRR abs/2404.00459 (2024) - 2021
- [c9]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes:
StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI 2021: 1743-1753 - [c8]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne
, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko
, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. ICCV 2021: 1781-1792 - [i9]Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky:
Detector-Free Weakly Supervised Grounding by Separation. CoRR abs/2104.09829 (2021) - [i8]Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky:
CHARTER: heatmap-based multi-type chart data extraction. CoRR abs/2111.14103 (2021) - 2020
- [i7]Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes:
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR abs/2003.06798 (2020)
2010 – 2019
- 2019
- [c7]Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR 2019: 5197-5206 - [c6]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR 2019: 6548-6557 - [i6]Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR abs/1902.09811 (2019) - 2018
- [c5]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS 2018: 2850-2860 - [i5]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR abs/1806.04728 (2018) - [i4]Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein:
Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR abs/1806.04734 (2018) - 2017
- [c4]Ethan Hadar, Joseph Shtok, Benjamin Cohen, Yochay Tzur, Leonid Karlinsky:
Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support. CAiSE-Forum-DC 2017: 33-40 - [c3]Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok:
Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. CVPR 2017: 965-974 - 2015
- [j2]David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky:
Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging 34(7): 1474-1485 (2015) - 2013
- [j1]Joseph Shtok
, Michael Elad
, Michael Zibulevsky:
Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging 2013: 609274:1-609274:20 (2013) - [i3]Joseph Shtok, Michael Zibulevsky, Michael Elad:
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR abs/1311.7251 (2013) - 2011
- [c2]Joseph Shtok, Michael Elad, Michael Zibulevsky:
Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP 2011: 569-572 - 2010
- [i2]Joseph Shtok, Michael Elad:
Analysis of Basis Pursuit Via Capacity Sets. CoRR abs/1004.4329 (2010) - [i1]Joseph Shtok, Michael Zibulevsky, Michael Elad:
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning. CoRR abs/1004.4373 (2010)
2000 – 2009
- 2009
- [c1]Joseph Shtok, Michael Elad
, Michael Zibulevsky:
Direct Adaptive Algorithms for CT Reconstruction. ISBI 2009: 181-184
Coauthor Index
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