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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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05/25/2021
Connect the Dots: In Situ 4D Seismic Monitoring of CO_2 Storage with Spatio-temporal CNNs
4D seismic imaging has been widely used in CO_2 sequestration projects t...
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04/19/2021
Randomized Algorithms for Scientific Computing (RASC)
Randomized algorithms have propelled advances in artificial intelligence...
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03/25/2021
InversionNet3D: Efficient and Scalable Learning for 3D Full Waveform Inversion
Recent progress in the use of deep learning for Full Waveform Inversion ...
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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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09/03/2020
Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation
Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...
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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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04/22/2020
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning
Resolution of the complex problem of image retrieval for diagram images ...
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02/27/2020
TGGLines: A Robust Topological Graph Guided Line Segment Detector for Low Quality Binary Images
Line segment detection is an essential task in computer vision and image...
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06/01/2019
Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction
Signal models based on sparsity, low-rank and other properties have been...
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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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10/19/2018
Learning Multi-Layer Transform Models
Learned data models based on sparsity are widely used in signal processi...
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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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09/09/2017
Convolutional Dictionary Learning
Convolutional sparse representations are a form of sparse representation...
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08/31/2017
Online Convolutional Dictionary Learning
Convolutional sparse representations are a form of sparse representation...
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07/20/2017
Convolutional Sparse Coding: Boundary Handling Revisited
Two different approaches have recently been proposed for boundary handli...
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05/12/2017
Convolutional Sparse Representations with Gradient Penalties
While convolutional sparse representations enjoy a number of useful prop...
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12/23/2015