Moshe Kimhi

17 papers A 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
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
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips.
Trans. Mach. Learn. Res.
Ido Galil, Moshe Kimhi, Ran El-Yaniv
2025 J jnl
Benchmarking Adversarial Patch Selection and Location.
CoRR
Shai Kimhi, Avi Mendlson, Moshe Kimhi
2025 J jnl
CARES: Context-Aware Resolution Selector for VLMs.
CoRR
Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz
2025 J jnl
No Data, No Optimization: A Lightweight Method To Disrupt Neural Networks With Sign-Flips.
CoRR
Ido Galil, Moshe Kimhi, Ran El-Yaniv
2025 J jnl
R
CoRR
Nate Rothschild, Moshe Kimhi, Avi Mendelson, Chaim Baskin
2025 A conf
Robot Instance Segmentation with Few Annotations for Grasping.
WACV
Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2025 J jnl
WAVECLIP: Wavelet Tokenization for Adaptive-Resolution CLIP.
CoRR
Moshe Kimhi, Erez Koifman, Ehud Rivlin, Eli Schwartz, Chaim Baskin
2024 J jnl
Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters.
CoRR
Eden Grad, Moshe Kimhi, Lion Halika, Chaim Baskin
2024 J jnl
Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods.
CoRR
Tsachi Blau, Moshe Kimhi, Yonatan Belinkov, Alexander M. Bronstein, Chaim Baskin
2024 — conf
Hysteresis Activation Function for Efficient Inference.
ENLSP
Moshe Kimhi, Idan Kashani, Chaim Baskin, Avi Mendelson
2024 J jnl
Hysteresis Activation Function for Efficient Inference.
CoRR
Moshe Kimhi, Idan Kashani, Avi Mendelson, Chaim Baskin
2024 J jnl
Robot Instance Segmentation with Few Annotations for Grasping.
CoRR
Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2024 J jnl
Semi-Supervised Semantic Segmentation via Marginal Contextual Information.
Trans. Mach. Learn. Res.
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2023 J jnl
Semi-Supervised Semantic Segmentation via Marginal Contextual Information.
CoRR
Moshe Kimhi, Shai Kimhi, Evgenii Zheltonozhskii, Or Litany, Chaim Baskin
2022 J jnl
Bimodal Distributed Binarized Neural Networks.
CoRR
Tal Rozen, Moshe Kimhi, Brian Chmiel, Avi Mendelson, Chaim Baskin
2022 J jnl
FBM: Fast-Bit Allocation for Mixed-Precision Quantization.
CoRR
Moshe Kimhi, Tal Rozen, Tal Kopetz, Olya Sirkin, Avi Mendelson, Chaim Baskin