Joseph Shtok - RankMe

25 papers A* 7Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	Mellum: Production-Grade in-IDE Contextual Code Completion with Multi-File Project Understanding. CoRR Nikita Pavlichenko, Iurii Nazarov, Ivan Dolgov, Ekaterina Garanina, Dmitry Ustalov, Ivan Bondyrev, Kseniia Lysaniuk, Evgeniia Vu, Kirill Chekmenev, Joseph Shtok, Yaroslav Golubev, Anton Semenkin, Uladzislau Sazanovich
2024	J	`jnl`	Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement. CoRR Joseph Shtok, Amit Alfassy, Foad Abo Dahood, Eliyahu Schwartz, Sivan Doveh, Assaf Arbelle
2024	A*	`conf`	NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. EMNLP Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
2024	J	`jnl`	NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. CoRR Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle
2021	J	`jnl`	CHARTER: heatmap-based multi-type chart data extraction. CoRR Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV 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
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR 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
2021	A*	`conf`	StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
2020	J	`jnl`	StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
2019	A*	`conf`	LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	A*	`conf`	RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2018	A*	`conf`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2017	A*	`conf`	Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training. CVPR Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok
2017	—	`conf`	Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support. CAiSE-Forum-DC Ethan Hadar, Joseph Shtok, Benjamin Cohen, Yochay Tzur, Leonid Karlinsky
2015	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky
2013	J	`jnl`	Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging Joseph Shtok, Michael Elad, Michael Zibulevsky
2013	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2011	Misc	`conf`	Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP Joseph Shtok, Michael Elad, Michael Zibulevsky
2010	J	`jnl`	Analysis of Basis Pursuit Via Capacity Sets CoRR Joseph Shtok, Michael Elad
2010	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2009	—	`conf`	Direct Adaptive Algorithms for CT Reconstruction. ISBI Joseph Shtok, Michael Elad, Michael Zibulevsky