Eli Schwartz - RankMe

51 papers A* 10B 2Journal 37Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Balanced Thinking: Improving Chain of Thought Training in Vision Language Models. CoRR Shaked Perek, Ben Wiesel, Avihu Dekel, Nimrod Shabtay, Eli Schwartz
2026	J	`jnl`	CLIMP: Contrastive Language-Image Mamba Pretraining. CoRR Nimrod Shabtay, Itamar Zimerman, Eli Schwartz, Raja Giryes
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2026	J	`jnl`	Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs. CoRR Nimrod Shabtay, Moshe Kimhi, Artem Spector, Sivan Haray, Ehud Rivlin, Chaim Baskin, Raja Giryes, Eli Schwartz
2026	J	`jnl`	Positional Encoding Image Prior. IEEE Trans. Image Process. Nimrod Shabtay, Eli Schwartz, Raja Giryes
2025	J	`jnl`	Advancing Speech Understanding in Speech-Aware Language Models with GRPO. CoRR Avishai Elmakies, Hagai Aronowitz, Nimrod Shabtay, Eli Schwartz, Ron Hoory, Avihu Dekel
2025	J	`jnl`	CARES: Context-Aware Resolution Selector for VLMs. CoRR Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	A*	`conf`	DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers. EMNLP Navve Wasserman, Oliver Heinimann, Yuval Golbari, Tal Zimbalist, Eli Schwartz, Michal Irani
2025	J	`jnl`	DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers. CoRR Navve Wasserman, Oliver Heinimann, Yuval Golbari, Tal Zimbalist, Eli Schwartz, Michal Irani
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	—	`conf`	REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark. ACL (1) Navve Wasserman, Roi Pony, Oshri Naparstek, Adi Raz Goldfarb, Eli Schwartz, Udi Barzelay, Leonid Karlinsky
2025	J	`jnl`	REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark. CoRR Navve Wasserman, Roi Pony, Oshri Naparstek, Adi Raz Goldfarb, Eli Schwartz, Udi Barzelay, Leonid Karlinsky
2025	J	`jnl`	WAVECLIP: Wavelet Tokenization for Adaptive-Resolution CLIP. CoRR Moshe Kimhi, Erez Koifman, Ehud Rivlin, Eli Schwartz, Chaim Baskin
2024	B	`conf`	Deep Phase Coded Image Prior. ICCP Nimrod Shabtay, Eli Schwartz, Raja Giryes
2024	J	`jnl`	Deep Phase Coded Image Prior. CoRR Nimrod Shabtay, Eli Schwartz, Raja Giryes
2024	J	`jnl`	MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Comput. Vis. Image Underst. Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
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
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2023	—	`conf`	Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2022	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
2022	J	`jnl`	FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
2022	A*	`conf`	FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
2022	J	`jnl`	MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
2022	J	`jnl`	PIP: Positional-encoding Image Prior. CoRR Nimrod Shabtay, Eli Schwartz, Raja Giryes
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, 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`	Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2021	J	`jnl`	ISP Distillation. CoRR Eli Schwartz, Alex M. Bronstein, Raja Giryes
2021	J	`jnl`	MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, 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
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky
2020	J	`jnl`	Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
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	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. CoRR Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Beholder-GAN: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. CoRR Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	B	`conf`	Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. ICIP Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein
2019	J	`jnl`	DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. Eli Schwartz, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
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
2019	J	`jnl`	UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson
2018	J	`jnl`	DeepISP: Learning End-to-End Image Processing Pipeline. CoRR Eli Schwartz, 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`	NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, 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
2018	J	`jnl`	UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson