Eli Schwartz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CARES: Context-Aware Resolution Selector for VLMs. | Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz |
| 2025 | ACL | REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark. | Navve Wasserman, Roi Pony, Oshri Naparstek, Adi Raz Goldfarb, Eli Schwartz, Udi Barzelay, Leonid Karlinsky |
| 2025 | EMNLP | DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers. | Navve Wasserman, Oliver Heinimann, Yuval Golbari, Tal Zimbalist, Eli Schwartz, Michal Irani |
| 2025 | ICCV | Teaching VLMs to Localize Specific Objects from In-Context Examples. | Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogrio Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza |
| 2024 | EMNLP | NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. | Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle |
| 2024 | ICCP | Deep Phase Coded Image Prior. | Nimrod Shabtay, Eli Schwartz, Raja Giryes |
| 2023 | CVPR | Teaching Structured Vision & Language Concepts to Vision & Language Models. | Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogrio Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky |
| 2023 | MICCAI | Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. | Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel |
| 2022 | CVPR | Unsupervised Domain Generalization by Learning a Bridge Across Domains. | 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, Rogrio Feris, Leonid Karlinsky |
| 2021 | AAAI | StarNet: towards Weakly Supervised Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogrio Feris, Alex M. Bronstein, Raja Giryes |
| 2021 | CVPR | Fine-Grained Angular Contrastive Learning With Coarse Labels. | Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogrio Feris, Raja Giryes, Leonid Karlinsky |
| 2021 | ICCV | 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, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogrio Feris, Leonid Karlinsky |
| 2019 | CVPR | RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. | Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogrio Schmidt Feris, Raja Giryes, Alexander M. Bronstein |
| 2019 | ICIP | Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level. | Nir Diamant, Dean Zadok, Chaim Baskin, Eli Schwartz, Alexander M. Bronstein |