Chaim Baskin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
15 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 |
| 2026 | WACV | R | Nate Rothschild, Moshe Kimhi, Avi Mendelson, Chaim Baskin |
| 2025 | CVPR | DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. | Krishna Sri Ipsit Mantri, Carola-Bibiane Schnlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof |
| 2025 | EMNLP | Jailbreak Attack Initializations as Extractors of Compliance Directions. | Amit LeVi, Rom Himelstein, Yaniv Nemcovsky, Avi Mendelson, Chaim Baskin |
| 2025 | WACV | Class-Conditioned Transformation for Enhanced Robust Image Classification. | Tsachi Blau, Roy Ganz, Chaim Baskin, Michael Elad, Alex M. Bronstein |
| 2025 | WACV | Conceptual Learning via Embedding Approximations for Reinforcing Interpretability and Transparency. | Maor Dikter, Tsachi Blau, Chaim Baskin |
| 2025 | WACV | Robot Instance Segmentation with Few Annotations for Grasping. | Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro |
| 2024 | IROS | Active propulsion noise shaping for multi-rotor aircraft localization. | Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein |
| 2023 | ICCV | Enhanced Meta Label Correction for Coping with Label Corruption. | Mitchell Keren Taraday, Chaim Baskin |
| 2023 | ICLR | Strategic Classification with Graph Neural Networks. | Itay Eilat, Ben Finkelshtein, Chaim Baskin, Nir Rosenfeld |
| 2022 | ACCV | Physical Passive Patch Adversarial Attacks on Visual Odometry Systems. | Yaniv Nemcovsky, Matan Jacoby, Alex M. Bronstein, Chaim Baskin |
| 2022 | CVPR | End-to-End Referring Video Object Segmentation with Multimodal Transformers. | Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin |
| 2022 | WACV | Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels. | Evgenii Zheltonozhskii, Chaim Baskin, Avi Mendelson, Alex M. Bronstein, Or Litany |
| 2020 | IJCNN | Feature Map Transform Coding for Energy-Efficient CNN Inference. | Brian Chmiel, Chaim Baskin, Evgenii Zheltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson |
| 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 |