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03/30/2023
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions
Point-spread-function (PSF) engineering is a powerful computational imag...
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03/16/2023
SUD^2: Supervision by Denoising Diffusion Models for Image Reconstruction
Many imaging inverse problemsx2014such as image-dependent in-painting an...
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12/26/2022
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery
The United States coastline spans 95,471 miles; a distance that cannot b...
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09/18/2022
MetaDIP: Accelerating Deep Image Prior with Meta Learning
Deep image prior (DIP) is a recently proposed technique for solving imag...
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06/09/2022
Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery
To solve inverse problems, plug-and-play (PnP) methods have been develop...
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03/13/2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence
We present a self-supervised and self-calibrating multi-shot approach to...
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02/11/2022
Expectation Consistent Plug-and-Play for MRI
For image recovery problems, plug-and-play (PnP) methods have been devel...
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10/25/2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
Convolutional neural networks (CNN) have emerged as a powerful tool for ...
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05/12/2020
Deep Learning Techniques for Inverse Problems in Imaging
Recent work in machine learning shows that deep neural networks can be u...
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02/14/2020
Deep S^3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
This paper introduces and solves the simultaneous source separation and ...
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12/13/2019
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances
Non-line-of-sight (NLOS) imaging and tracking is an emerging paradigm th...
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08/01/2019
Deep Optics for Single-shot High-dynamic-range Imaging
High-dynamic-range (HDR) imaging is crucial for many computer graphics a...
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06/26/2018
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing
Generalized Vector Approximate Message Passing (GVAMP) is an efficient i...
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05/26/2018
Unsupervised Learning with Stein's Unbiased Risk Estimator
Learning from unlabeled and noisy data is one of the grand challenges of...
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03/01/2018
prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks
Phase retrieval (PR) algorithms have become an important component in ma...
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04/21/2017
