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09/08/2023
Single View Refractive Index Tomography with Neural Fields
Refractive Index Tomography is an inverse problem in which we seek to re...
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09/05/2023
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
We propose a surrogate function for efficient use of score-based priors ...
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04/25/2023
Learning Task-Specific Strategies for Accelerated MRI
Compressed sensing magnetic resonance imaging (CS-MRI) seeks to recover ...
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04/23/2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
It is important in computational imaging to understand the uncertainty o...
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04/12/2023
Ill-Posed Image Reconstruction Without an Image Prior
We consider solving ill-posed imaging inverse problems without access to...
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03/21/2023
Image Reconstruction without Explicit Priors
We consider solving ill-posed imaging inverse problems without access to...
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04/07/2022
Gravitationally Lensed Black Hole Emission Tomography
Measurements from the Event Horizon Telescope enabled the visualization ...
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03/02/2022
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision
With the increasing prevalence of complex vision-based sensing methods f...
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01/21/2022
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction
Inference is crucial in modern astronomical research, where hidden astro...
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07/06/2021
Unsupervised learning of MRI tissue properties using MRI physics models
In neuroimaging, MRI tissue properties characterize underlying neurobiol...
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05/13/2021
End-to-End Sequential Sampling and Reconstruction for MR Imaging
Accelerated MRI shortens acquisition time by subsampling in the measurem...
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04/06/2021
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video
An object's interior material properties, while invisible to the human e...
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10/27/2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
Computational image reconstruction algorithms generally produce a single...
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03/23/2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection
Optimized sensing is important for computational imaging in low-resource...
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08/17/2018
Medical Image Imputation from Image Collections
We present an algorithm for creating high resolution anatomically plausi...
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07/24/2018
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks
We study the problem of synthesizing a number of likely future frames fr...
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11/03/2017
Reconstructing Video from Interferometric Measurements of Time-Varying Sources
Very long baseline interferometry (VLBI) makes it possible to recover im...
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11/28/2016
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy
Perhaps surprisingly, the total electron microscopy (EM) data collected ...
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07/09/2016
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
We study the problem of synthesizing a number of likely future frames fr...
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12/04/2015