no code implementations • ECCV 2020 • Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner
An important natural signal of this tendency is the optical extinction coefficient, as a function of altitude in a cloud.
no code implementations • 9 Mar 2024 • Roi Ronen, Ilan Koren, Aviad Levis, Eshkol Eytan, Vadim Holodovsky, Yoav Y. Schechner
We demonstrate the approach in simulations and on real-world data, and indicate the relevance of 3D recovery and uncertainty to precipitation and renewable energy.
no code implementations • 18 Mar 2021 • Masada Tzabari, Vadim Holodovsky, Omer Shubi, Eitan Eshkol, Yoav Y. Schechner
We introduce new adjustments and advances in space-borne 3D volumetric scattering-tomography of cloud micro-physics.
no code implementations • ICCV 2021 • Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, Eshkol Eytan
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images.
no code implementations • 10 Dec 2020 • Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, Eshkol Eytan
We present 3DeepCT, a deep neural network for computed tomography, which performs 3D reconstruction of scattering volumes from multi-view images.
no code implementations • 7 Dec 2015 • Vadim Holodovsky, Yoav Y. Schechner, Anat Levin, Aviad Levis, Amit Aides
We formulate tomography that handles arbitrary orders of scattering, using a monte-carlo model.