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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...

0 Jiaming Liu, et al. ∙

∙ 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...

7 Shihang Feng, et al. ∙

∙ 04/19/2021

Randomized Algorithms for Scientific Computing (RASC)

Randomized algorithms have propelled advances in artificial intelligence...

24 Aydin Buluc, et al. ∙

∙ 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 ...

0 Qili Zeng, et al. ∙

∙ 01/22/2021

SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees

Deep unfolding networks have recently gained popularity in the context o...

38 Jiaming Liu, et al. ∙

∙ 11/26/2020

Joint Reconstruction and Calibration using Regularization by Denoising

Regularization by denoising (RED) is a broadly applicable framework for ...

5 Mingyang Xie, et al. ∙

∙ 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 ...

0 Yu Sun, et al. ∙

∙ 09/03/2020

Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation

Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...

0 Renán Rojas-Gómez, et al. ∙

∙ 06/05/2020

Scalable Plug-and-Play ADMM with Convergence Guarantees

Plug-and-play priors (PnP) is a broadly applicable methodology for solvi...

7 Yu Sun, et al. ∙

∙ 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 ...

0 Manish Bhattarai, et al. ∙

∙ 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...

4 Ming Gong, et al. ∙

∙ 06/01/2019

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction

Signal models based on sparsity, low-rank and other properties have been...

0 Xuehang Zheng, et al. ∙

∙ 11/08/2018

Plug-In Stochastic Gradient Method

Plug-and-play priors (PnP) is a popular framework for regularized signal...

0 Yu Sun, et al. ∙

∙ 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...

0 Yu Sun, et al. ∙

∙ 10/19/2018

Learning Multi-Layer Transform Models

Learned data models based on sparsity are widely used in signal processi...

0 Saiprasad Ravishankar, et al. ∙

∙ 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...

0 Yu Sun, et al. ∙

∙ 09/09/2017

Convolutional Dictionary Learning

Convolutional sparse representations are a form of sparse representation...

0 Cristina Garcia-Cardona, et al. ∙

∙ 08/31/2017

Online Convolutional Dictionary Learning

Convolutional sparse representations are a form of sparse representation...

0 Jialin Liu, et al. ∙

∙ 07/20/2017

Convolutional Sparse Coding: Boundary Handling Revisited

Two different approaches have recently been proposed for boundary handli...

0 Brendt Wohlberg, et al. ∙

∙ 05/12/2017

Convolutional Sparse Representations with Gradient Penalties

While convolutional sparse representations enjoy a number of useful prop...

0 Brendt Wohlberg, et al. ∙

∙ 12/23/2015

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

Many material and biological samples in scientific imaging are character...

0 Suhas Sreehari, et al. ∙

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