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Joint Reconstruction and Calibration using Regularization by Denoising
Regularization by denoising (RED) is a broadly applicable framework for ...
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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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Physics-Consistent Data-driven Waveform Inversion with Adaptive Data Augmentation
Seismic full-waveform inversion (FWI) is a nonlinear computational imagi...
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Scalable Plug-and-Play ADMM with Convergence Guarantees
Plug-and-play priors (PnP) is a broadly applicable methodology for solvi...
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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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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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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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Plug-In Stochastic Gradient Method
Plug-and-play priors (PnP) is a popular framework for regularized signal...
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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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Learning Multi-Layer Transform Models
Learned data models based on sparsity are widely used in signal processi...
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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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Convolutional Dictionary Learning
Convolutional sparse representations are a form of sparse representation...
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Online Convolutional Dictionary Learning
Convolutional sparse representations are a form of sparse representation...
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Convolutional Sparse Coding: Boundary Handling Revisited
Two different approaches have recently been proposed for boundary handli...
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Convolutional Sparse Representations with Gradient Penalties
While convolutional sparse representations enjoy a number of useful prop...
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Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation
Many material and biological samples in scientific imaging are character...
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