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11/01/2022
DOLPH: Diffusion Models for Phase Retrieval
Phase retrieval refers to the problem of recovering an image from the ma...
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10/26/2022
SINCO: A Novel structural regularizer for image compression using implicit neural representations
Implicit neural representations (INR) have been recently proposed as dee...
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10/12/2022
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Quantitative MRI (qMRI) refers to a class of MRI methods for quantifying...
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02/28/2022
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
This paper considers the problem of temporal video interpolation, where ...
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02/04/2022
Bregman Plug-and-Play Priors
The past few years have seen a surge of activity around integration of d...
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06/07/2021
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
The plug-and-play priors (PnP) and regularization by denoising (RED) met...
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01/22/2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Deep unfolding networks have recently gained popularity in the context o...
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11/26/2020
Joint Reconstruction and Calibration using Regularization by Denoising
Regularization by denoising (RED) is a broadly applicable framework for ...
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10/03/2020
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Regularization by denoising (RED) is a recently developed framework for ...
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09/29/2020
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
One of the key limitations in conventional deep learning based image rec...
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06/05/2020
Scalable Plug-and-Play ADMM with Convergence Guarantees
Plug-and-play priors (PnP) is a broadly applicable methodology for solvi...
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12/03/2019
Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization
Non-smooth regularization is widely used in image reconstruction to elim...
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09/20/2019
Infusing Learned Priors into Model-Based Multispectral Imaging
We introduce a new algorithm for regularized reconstruction of multispec...
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09/04/2019
Online Regularization by Denoising with Applications to Phase Retrieval
Regularization by denoising (RED) is a powerful framework for solving im...
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05/13/2019
Block Coordinate Regularization by Denoising
We consider the problem of estimating a vector from its noisy measuremen...
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11/08/2018
Plug-In Stochastic Gradient Method
Plug-and-play priors (PnP) is a popular framework for regularized signal...
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10/31/2018
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
The plug-and-play priors (PnP) framework has been recently shown to achi...
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10/30/2018
Image Restoration using Total Variation Regularized Deep Image Prior
In the past decade, sparsity-driven regularization has led to significan...
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09/12/2018
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
Plug-and-play priors (PnP) is a powerful framework for regularizing imag...
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07/20/2018
signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization
Stochastic gradient descent (SGD) is one of the most widely used optimiz...
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05/08/2018
Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging
A common problem that arises in radar imaging systems, especially those ...
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03/18/2018
Deep Learning for Nonlinear Diffractive Imaging
Image reconstruction under multiple light scattering is crucial for a nu...
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01/29/2018
Learning-based Image Reconstruction via Parallel Proximal Algorithm
In the past decade, sparsity-driven regularization has led to advancemen...
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08/04/2017
Accelerated Image Reconstruction for Nonlinear Diffractive Imaging
The problem of reconstructing an object from the measurements of the lig...
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06/13/2017
Online Convolutional Dictionary Learning for Multimodal Imaging
Computational imaging methods that can exploit multiple modalities have ...
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05/05/2017
SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering
Multiple scattering of an electromagnetic wave as it passes through an o...
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10/05/2016
Compressive Imaging with Iterative Forward Models
We propose a new compressive imaging method for reconstructing 2D or 3D ...
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03/04/2016
Depth Superresolution using Motion Adaptive Regularization
Spatial resolution of depth sensors is often significantly lower compare...
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12/15/2015