Search Results for author: Aviad Levis

Found 11 papers, 0 papers with code

Monotonicity Prior for Cloud Tomography

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.

Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis

no code implementations9 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.

Computed Tomography (CT) Self-Supervised Learning

Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole

no code implementations11 Oct 2023 Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan

One proposed mechanism that produces flares is the formation of compact, bright regions that appear within the accretion disk and close to the event horizon.

3D Reconstruction

Single View Refractive Index Tomography with Neural Fields

no code implementations8 Sep 2023 Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman

The effects of such fields appear in many scientific computer vision settings, ranging from refraction due to transparent cells in microscopy to the lensing of distant galaxies caused by dark matter in astrophysics.

3D Reconstruction

Gravitationally Lensed Black Hole Emission Tomography

no code implementations CVPR 2022 Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman

In this work, we propose BH-NeRF, a novel tomography approach that leverages gravitational lensing to recover the continuous 3D emission field near a black hole.

3D Reconstruction

Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements

no code implementations ICCV 2021 Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman

We are motivated by the task of imaging the stochastically evolving environment surrounding black holes, and demonstrate how flow parameters can be estimated from sparse interferometric measurements used in radio astronomical imaging.

Multi-view polarimetric scattering cloud tomography and retrieval of droplet size

no code implementations22 May 2020 Aviad Levis, Yoav Y. Schechner, Anthony B. Davis, Jesse Loveridge

Our motivation is 3D volumetric probing of vertically-developed convectively-driven clouds that are ill-served by current methods in operational passive remote sensing.

Computed Tomography (CT) Retrieval +1

Multiple-Scattering Microphysics Tomography

no code implementations CVPR 2017 Aviad Levis, Yoav Y. Schechner, Anthony B. Davis

Scattering effects in images, including those related to haze, fog and appearance of clouds, are fundamentally dictated by microphysical characteristics of the scatterers.

Retrieval

In-situ multi-scattering tomography

no code implementations7 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.

Object

Airborne Three-Dimensional Cloud Tomography

no code implementations ICCV 2015 Aviad Levis, Yoav Y. Schechner, Amit Aides, Anthony B. Davis

We seek to sense the three dimensional (3D) volumetric distribution of scatterers in a heterogenous medium.

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