Direct Adaptive Algorithms for CT Reconstruction. - Joseph Shtok; Michael Elad; Michael Zibulevsky (ISBI, 2009)

Analysis of Basis Pursuit Via Capacity Sets - Joseph Shtok; Michael Elad (CoRR, 2010)

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning - Joseph Shtok; Michael Zibulevsky; Michael Elad (CoRR, 2010)

Sparsity-based Sinogram Denoising for low-dose Computed Tomography. - Joseph Shtok; Michael Elad; Michael Zibulevsky (ICASSP, 2011)

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. - Joseph Shtok; Michael Zibulevsky; Michael Elad (CoRR, 2013)

Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. - Joseph Shtok; Michael Elad; Michael Zibulevsky (Int. J. Biomed. Imaging, 2013)

Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. - David Boublil; Michael Elad; Joseph Shtok; Michael Zibulevsky (IEEE Trans. Medical Imaging, 2015)

Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support. - Ethan Hadar; Joseph Shtok; Benjamin Cohen; Yochay Tzur; Leonid Karlinsky (CAiSE-Forum-DC, 2017)

Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. - Leonid Karlinsky; Joseph Shtok; Yochay Tzur; Asaf Tzadok (CVPR, 2017)

Delta-encoder: an effective sample synthesis method for few-shot object recognition. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Abhishek Kumar 001; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (NeurIPS, 2018)

RepMet: Representative-based metric learning for classification and one-shot object detection. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Sharathchandra Pankanti; Rogério Schmidt Feris; Abhishek Kumar 001; Raja Giryes; Alexander M. Bronstein (CoRR, 2018)

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. - Amit Alfassy; Leonid Karlinsky; Amit Aides; Joseph Shtok; Sivan Harary; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Sivan Harary; Eli Schwartz; Amit Aides; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Schmidt Feris; Alexander M. Bronstein; Raja Giryes (CoRR, 2020)

StarNet: towards Weakly Supervised Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Feris; Alex M. Bronstein; Raja Giryes (AAAI, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

CHARTER: heatmap-based multi-type chart data extraction. - Joseph Shtok; Sivan Harary; Ophir Azulai; Adi Raz Goldfarb; Assaf Arbelle; Leonid Karlinsky (CoRR, 2021)

NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. - Eli Schwartz; Leshem Choshen; Joseph Shtok; Sivan Doveh; Leonid Karlinsky; Assaf Arbelle (EMNLP, 2024)

Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement. - Joseph Shtok; Amit Alfassy; Foad Abo Dahood; Eliyahu Schwartz; Sivan Doveh; Assaf Arbelle (CoRR, 2024)

Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. - Leonid Karlinsky; Assaf Arbelle; Abraham Daniels; Ahmed Nassar; Amit Alfassi; Bo Wu 018; Eli Schwartz; Dhiraj Joshi; Jovana Kondic; Nimrod Shabtay; Pengyuan Li 001; Roei Herzig; et al. (CoRR, 2025)