8 papers
RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data
Tamir Shor, George Leifman, Genady Beryozkin
Object-Counting for remote-sensing (RS) imagery is attracting increasing research interest due to its crucial role in a wide and diverse set of applications. While several promisin…
On Adversarial Attacks In Acoustic Drone Localization
Tamir Shor, Chaim Baskin, Alex Bronstein
Multi-rotor aerial autonomous vehicles (MAVs, more widely known as "drones") have been generating increased interest in recent years due to their growing applicability in a vast an…
Adversarial Attacks in Weight-Space Classifiers
Tamir Shor, Ethan Fetaya, Chaim Baskin +1
Implicit Neural Representations (INRs) have been recently garnering increasing interest in various research fields, mainly due to their ability to represent large, complex data in…
T1-PILOT: Optimized Trajectories for T1 Mapping Acceleration
Tamir Shor, Moti Freiman, Chaim Baskin +1
Cardiac T1 mapping provides critical quantitative insights into myocardial tissue composition, enabling the assessment of pathologies such as fibrosis, inflammation, and edema. How…
On The Role of K-Space Acquisition in MRI Reconstruction Domain-Generalization
Mohammed Wattad, Tamir Shor, Alex Bronstein
Recent work has established learned k-space acquisition patterns as a promising direction for improving reconstruction quality in accelerated Magnetic Resonance Imaging (MRI). Desp…
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories
Tamir Shor, Chaim Baskin, Alex Bronstein
Dynamic Magnetic Resonance Imaging (MRI) is a crucial non-invasive method used to capture the movement of internal organs and tissues, making it a key tool for medical diagnosis. H…