289 citations · 1.7k across the 90 of their papers we have counts for
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SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera
Nir Diamant, Tal Mund, Ohad Menashe +2
Energy-saving LIDAR camera for short distances estimates an object's distance using temporally intensity-coded laser light pulses and calculates the maximum correlation with the ba…
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
Omer Dahary, Matan Jacoby, Alex M. Bronstein
Mechanical image stabilization using actuated gimbals enables capturing long-exposure shots without suffering from blur due to camera motion. These devices, however, are often phys…
Non-Rigid Puzzles
Or Litany, Emanuele Rodolà, Alex Bronstein +2
Shape correspondence is a fundamental problem in computer graphics and vision, with applications in various problems including animation, texture mapping, robotic vision, medical i…
Towards learned optimal q-space sampling in diffusion MRI
Tomer Weiss, Sanketh Vedula, Ortal Senouf +2
Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber trac…
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
Jonathan Alush-Aben, Linor Ackerman-Schraier, Tomer Weiss +3
Magnetic Resonance Imaging (MRI) has long been considered to be among the gold standards of today's diagnostic imaging. The most significant drawback of MRI is long acquisition tim…
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering
Evgenii Zheltonozhskii, Chaim Baskin, Alex M. Bronstein +1
Unsupervised learning has always been appealing to machine learning researchers and practitioners, allowing them to avoid an expensive and complicated process of labeling the data.…