Moshe Kimhi

According to our database, Moshe Kimhi authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs.

Nimrod Shabtay, Moshe Kimhi, Artem Spector, Sivan Haray, Ehud Rivlin, Chaim Baskin, Raja Giryes, Eli Schwartz

CoRR, March, 2026

Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips.

Ido Galil, Moshe Kimhi, Ran El-Yaniv

Trans. Mach. Learn. Res., 2026

R³: Reconstruction, Raw, and Rain: Deraining Directly in the Bayer Domain.

Nate Rothschild, Moshe Kimhi, Avi Mendelson, Chaim Baskin

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

CARES: Context-Aware Resolution Selector for VLMs.

Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

WAVECLIP: Wavelet Tokenization for Adaptive-Resolution CLIP.

Moshe Kimhi, Erez Koifman, Ehud Rivlin, Eli Schwartz, Chaim Baskin

CoRR, September, 2025

Benchmarking Adversarial Patch Selection and Location.

Shai Kimhi, Avi Mendlson, Moshe Kimhi

CoRR, August, 2025

No Data, No Optimization: A Lightweight Method To Disrupt Neural Networks With Sign-Flips.

Ido Galil, Moshe Kimhi, Ran El-Yaniv

CoRR, February, 2025

Robot Instance Segmentation with Few Annotations for Grasping.

Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Semi-Supervised Semantic Segmentation via Marginal Contextual Information.

Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin

Trans. Mach. Learn. Res., 2024

Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods.

Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin

CoRR, 2024

Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters.

Eden Grad, Moshe Kimhi, Lion Halika, Chaim Baskin

CoRR, 2024

Hysteresis Activation Function for Efficient Inference.

Moshe Kimhi, Idan Kashani, Chaim Baskin, Avi Mendelson

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2022

FBM: Fast-Bit Allocation for Mixed-Precision Quantization.

Moshe Kimhi, Tal Rozen, Tal Kopetz, Olya Sirkin, Avi Mendelson, Chaim Baskin

CoRR, 2022

Bimodal Distributed Binarized Neural Networks.

Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin

CoRR, 2022