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12/06/2022
Towards A Most Probable Recovery in Optical Imaging
Light is a complex-valued field. The intensity and phase of the field ar...
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09/30/2021
Accelerating Inverse Rendering By Using a GPU and Reuse of Light Paths
Inverse rendering seeks to estimate scene characteristics from a set of ...
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08/30/2021
What You Can Learn by Staring at a Blank Wall
We present a passive non-line-of-sight method that infers the number of ...
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12/10/2020
3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields
We present 3DeepCT, a deep neural network for computed tomography, which...
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12/06/2020
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms
We derive computed tomography (CT) of a time-varying volumetric transluc...
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05/22/2020
Multi-view polarimetric scattering cloud tomography and retrieval of droplet size
Tomography aims to recover a three-dimensional (3D) density map of a med...
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03/27/2020
Image compression optimized for 3D reconstruction by utilizing deep neural networks
Computer vision tasks are often expected to be executed on compressed im...
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12/07/2015
In-situ multi-scattering tomography
To recover the three dimensional (3D) volumetric distribution of matter ...
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12/06/2015