Ulugbek Kamilov

Orcid: 0000-0001-6770-3278

Affiliations:
  • Washington University, St. Louis, MO, USA


According to our database1, Ulugbek Kamilov authored at least 112 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Domain Expansion via Network Adaptation for Solving Inverse Problems.
IEEE Trans. Computational Imaging, 2024

Constrained Regularization by Denoising With Automatic Parameter Selection.
IEEE Signal Process. Lett., 2024

Gaussian is All You Need: A Unified Framework for Solving Inverse Problems via Diffusion Posterior Sampling.
CoRR, 2024

TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy.
CoRR, 2024

Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model.
CoRR, 2024

DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Plug-and-Play Image Registration Network.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Restoration Network as an Implicit Prior.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Parameter-Efficient Adaptation for Computational Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2023

Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction.
IEEE Trans. Computational Imaging, 2023

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications.
IEEE Signal Process. Mag., 2023

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.
CoRR, 2023

A Structured Pruning Algorithm for Model-based Deep Learning.
CoRR, 2023

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction.
CoRR, 2023

Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Convergence of Nonconvex PNP-ADMM with MMSE Denoisers.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Diffusion Models for Phase Retrieval in Computational Imaging.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields.
Nat. Mac. Intell., September, 2022

Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors.
IEEE J. Sel. Areas Inf. Theory, September, 2022

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.
IEEE Trans. Medical Imaging, 2022

DOLPH: Diffusion Models for Phase Retrieval.
CoRR, 2022

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.
CoRR, 2022

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees.
CoRR, 2022

Online Deep Equilibrium Learning for Regularization by Denoising.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Monotonically Convergent Regularization by Denoising.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Bregman Plug-And-Play Priors.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Scalable Plug-and-Play ADMM With Convergence Guarantees.
IEEE Trans. Computational Imaging, 2021

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging.
IEEE Trans. Computational Imaging, 2021

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.
IEEE Trans. Computational Imaging, 2021

Zero-Shot Learning of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements.
CoRR, 2021

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth.
CoRR, 2021

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors.
Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Block Coordinate Regularization by Denoising.
IEEE Trans. Computational Imaging, 2020

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers.
IEEE Signal Process. Lett., 2020

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network.
IEEE Signal Process. Lett., 2020

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors.
IEEE J. Sel. Top. Signal Process., 2020

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth.
IEEE J. Sel. Top. Signal Process., 2020

Joint Reconstruction and Calibration using Regularization by Denoising.
CoRR, 2020

Scalable Plug-and-Play ADMM with Convergence Guarantees.
CoRR, 2020

Proximal Newton Methods for X-Ray Imaging with Non-Smooth Regularization.
Proceedings of the Computational Imaging XVIII, Burlingame, 2020

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction.
IEEE Trans. Computational Imaging, 2019

Infusing Learned Priors into Model-Based Multispectral Imaging.
CoRR, 2019

Plug-and-Play Priors for Reconstruction-Based Placental Image Registration.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Online Regularization by Denoising with Applications to Phase Retrieval.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

SignProx: One-bit Proximal Algorithm for Nonconvex Stochastic Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2019

Image Restoration Using Total Variation Regularized Deep Image Prior.
Proceedings of the IEEE International Conference on Acoustics, 2019

Regularized Fourier Ptychography Using an Online Plug-and-play Algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging.
IEEE Trans. Computational Imaging, 2018

SEAGLE: Sparsity-Driven Image Reconstruction Under Multiple Scattering.
IEEE Trans. Computational Imaging, 2018

Learning-Based Image Reconstruction via Parallel Proximal Algorithm.
IEEE Signal Process. Lett., 2018

Plug-In Stochastic Gradient Method.
CoRR, 2018

signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization.
CoRR, 2018

Stability of Scattering Decoder For Nonlinear Diffractive Imaging.
CoRR, 2018

Efficient and accurate inversion of multiple scattering with deep learning.
CoRR, 2018

Robust Sensor Localization Based on Euclidean Distance Matrix.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Deepcasd: An End-to-End Approach for Multi-Spectral Image Super-Resolution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Radar Autofocus Using Sparse Blind Deconvolution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Accelerated Image Reconstruction for Nonlinear Diffractive Imaging.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization.
IEEE Trans. Inf. Theory, 2017

Motion-Adaptive Depth Superresolution.
IEEE Trans. Image Process., 2017

A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization.
IEEE Trans. Image Process., 2017

A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems.
IEEE Signal Process. Lett., 2017

Fusion of multi-angular aerial images based on epipolar geometry and matrix completion.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Online convolutional dictionary learning for multimodal imaging.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Optical Tomography based on a nonlinear model that handles multiple scattering.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Compressive imaging with iterative forward models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Optical Tomographic Image Reconstruction Based on Beam Propagation and Sparse Regularization.
IEEE Trans. Computational Imaging, 2016

Learning Optimal Nonlinearities for Iterative Thresholding Algorithms.
IEEE Signal Process. Lett., 2016

A Recursive Born Approach to Nonlinear Inverse Scattering.
IEEE Signal Process. Lett., 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

Depth superresolution using motion adaptive regularization.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Multipath removal by online blind deconvolution in through-the-wall-imaging.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Parallel proximal methods for total variation minimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Autocalibration of lidar and optical cameras via edge alignment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Sparsity-driven distributed array imaging.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Extended target localization with total-variation denoising in through-the-wall-imaging.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning.
IEEE Trans. Inf. Theory, 2014

Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems.
IEEE Signal Process. Lett., 2014

2013
MMSE Estimation of Sparse Lévy Processes.
IEEE Trans. Signal Process., 2013

Bayesian Estimation for Continuous-Time Sparse Stochastic Processes.
IEEE Trans. Signal Process., 2013

Sparse Stochastic Processes and Discretization of Linear Inverse Problems.
IEEE Trans. Image Process., 2013

Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning.
IEEE Signal Process. Lett., 2013

Benefits of consistency in image denoising with steerable wavelets.
Proceedings of the IEEE International Conference on Acoustics, 2013

Autocalibrated signal reconstruction from linear measurements using adaptive GAMP.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Message-Passing De-Quantization With Applications to Compressed Sensing.
IEEE Trans. Signal Process., 2012

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising.
IEEE Signal Process. Lett., 2012

One-Bit Measurements With Adaptive Thresholds.
IEEE Signal Process. Lett., 2012

The analog formulation of sparsity implies infinite divisibility and rules out Bernoulli-Gaussian priors.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Reconstruction of biomedical images and sparse stochastic modeling.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Generalized total variation denoising via augmented Lagrangian cycle spinning with Haar wavelets.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

MMSE denoising of sparse Lévy processes via message passing.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Bayesian denoising of generalized poisson processes with finite rate of innovation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Message-Passing Estimation from Quantized Samples
CoRR, 2011

Optimal quantization for compressive sensing under message passing reconstruction.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Generalized approximate message passing estimation from quantized samples.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011


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