publications

A complete list is available on Google Scholar

2025

  1. FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
    Z. Zou, J. Liu, S. Shoushtari, and 3 more authors
    In IEEE/CVF Wint. Conf. on Appli. of Comp. Vis. (WACV), 2025

2024

  1. Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
    S. Shoushtari, J. Liu, E. Chandler, and 2 more authors
    In Int. Conf. Machine Learning (ICML), 2024
  2. A Restoration Network as an Implicit Prior
    Y. Hu, M. Delbracio, P. Milanfar, and 1 more author
    In Int. Conf. Learn. Represent. (ICLR), 2024
  3. A Plug-and-Play Image Registration Network
    J. Hu, W. Gan, Z. Sun, and 2 more authors
    In Int. Conf. Learn. Represent. (ICLR), 2024
  4. Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
    M. Renaud, J. Liu, V. de Bortoli, and 2 more authors
    In Int. Conf. Learn. Represent. (ICLR), 2024
  5. MRM
    SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
    Y. Hu, W. Gan, C. Ying, and 6 more authors
    Magn. Reson. Med., 2024
  6. PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction
    W. Gan, Q. Zhai, M. T. McCann, and 3 more authors
    IEEE Open J. Signal Proces, 2024
  7. TCI
    Domain Expansion via Network Adaptation for Solving Inverse Problems
    N. Yismaw, U. S. Kamilov, and M. S. Asif
    IEEE Trans. Comput. Imag., 2024
  8. SPL
    Constrained Regularization by Denoising With Automatic Parameter Selection
    P. Cascarano, A. Benfenati, U. S. Kamilov, and 1 more author
    IEEE Signal Process. Lett., 2024
  9. Bioengineering approaches for patient-specific analysis of placenta structure and function
    A. K. Scott, D. M. Fodera, P. Yang, and 8 more authors
    Placenta, 2024
  10. DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model
    Y. Hu, S. V. V. N. Kothapalli, W. Gan, and 5 more authors
    In IEEE Int. Symp. Biomedical Imaging (ISBI), 2024

2023

  1. Block Coordinate Plug-and-Play Methods for Blind Inverse Problems
    W. Gan, S. Shoushtari, Y. Hu, and 3 more authors
    In Adv. Neural Information Processing Systems (NeurIPS), 2023
  2. Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems
    S. Hurault, U. S. Kamilov, A. Leclaire, and 1 more author
    In Adv. Neural Information Processing Systems (NeurIPS), 2023
  3. DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction
    J. Liu, R. Anirudh, J. J. Thiagarajan, and 4 more authors
    In IEEE Int. Conf. Comp. Vis. (ICCV), 2023
  4. SPM
    Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging
    U. S. Kamilov, C. A. Bouman, G. T. Buzzard, and 1 more author
    IEEE Signal Process. Mag., 2023
  5. Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems
    Z. Zou, J. Liu, B. Wohlberg, and 1 more author
    IEEE Open J. Signal Proces, 2023
  6. TCI
    Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
    W. Gan, C. Ying, P. Eshraghi, and 7 more authors
    IEEE Trans. Comput. Imag., 2023
  7. Respiratory motion management using a single rapid MRI scan for a 0.35 T MRI-Linac system
    S. Chen, C. Eldeniz, T. J. Fraum, and 7 more authors
    Med. Phys., 2023
  8. Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach
    P. Goyes-Penafiel, E. Vargas, C. V. Correa, and 4 more authors
    IEEE Trans. Geosci. Remote. Sens, 2023
  9. Deep-Learning-Based Accelerated and Noise-Suppressed Estimation (DANSE) of quantitative Gradient Recalled Echo (qGRE) MRI metrics associated with Human Brain Neuronal Structure and Hemodynamic Properties
    S. Kahali, S. V. V. N. Kothapalli, X. Xu, and 2 more authors
    NMR Biomed., 2023
  10. Deep learning-based motion compensation for four-dimensional cone-beam computed tomography (4D-CBCT) reconstruction
    Z. Zhang, J. Liu, D. Yang, and 2 more authors
    Med. Phys., 2023
  11. Overcoming Distribution Shifts in Plug-And-Play Methods With Test-Time Training
    C. Park, S. Shoushtari, W. Gan, and 1 more author
    In IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2023
  12. Convergence of Nonconvex PnP-ADMM With MMSE Denoisers
    E. P. Chandler, S. Shoushtari, J. Liu, and 2 more authors
    In IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2023
  13. Diffusion Models for Phase Retrieval in Computational Imaging
    S. Shoushtari, J. Liu, and U. S. Kamilov
    In 57th Asilomar Conf. Signals, Systems, & Computers, 2023
  14. Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN
    T. Kerepecky, J. Liu, X. W. Ng, and 2 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2023
  15. Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model
    J. Hu, S. Shoushtari, Z. Zou, and 3 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2023
  16. SINCO: A Novel structural regularizer for image compression using implicit neural representations
    W. Gan, H. Gao, Z. Sun, and 1 more author
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2023

2022

  1. Online Deep Equilibrium Learning for Regularization by Denoising
    J. Liu, X. Xu, W. Gan, and 1 more author
    In Adv. Neural Information Processing Systems (NeurIPS), 2022
  2. Learning Cross-Video Neural Representations for High-Quality Frame Interpolation
    W. Shangguan, Y. Sun, W. Gan, and 1 more author
    In European Conference on Computer Vision (ECCV), 2022
  3. Deep Model-Based Architectures for Inverse Problems under Mismatched Priors
    S. Shoushtari, J. Liu, Y. Hu, and 1 more author
    IEEE J. Sel. Areas Inf. Theory, 2022
  4. Recovery of Continuous 3D Refractive Index Maps from Discrete Intensity-Only Measurements using Neural Fields
    R. Liu, Y. Sun, J. Zhu, and 2 more authors
    Nat. Mach. Intell., 2022
  5. TMI
    Deformation-Compensated Learning for Image Reconstruction without Ground Truth
    W. Gan, Y. Sun, C. Eldeniz, and 2 more authors
    IEEE Trans. Med. Imag., 2022
  6. MRM
    Learning-based Motion Artifact Removal Networks for Quantitative R2* Mapping
    X. Xu, S. V. V. N. Kothapalli, J. Liu, and 4 more authors
    Magn. Reson. Med., 2022
  7. MRM
    MR-Assisted PET Respiratory Motion Correction Using Deep-Learning Based Short-Scan Motion Fields
    S. Chen, T. J. Fraum, C. Eldeniz, and 10 more authors
    Magn. Reson. Med., 2022
  8. Estimation of the mechanical properties of a transversely isotropic material from shear wave fields via artificial neural networks
    Z. Hou, C. A. Guertler, R. J. Okamoto, and 4 more authors
    J. Mech. Behav. Biomed. Mater., 2022
  9. Monotonically Convergent Regularization by Denoising
    Y. Hu, J. Liu, X. Xu, and 1 more author
    In IEEE Int. Conf. Image Proc. (ICIP), 2022
  10. Bregman Plug-and-Play Priors
    A. H. Al-Shabili, X. Xu, I. Selesnick, and 1 more author
    In IEEE Int. Conf. Image Proc. (ICIP), 2022

2021

  1. Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition
    J. Liu, S. Asif, B. Wohlberg, and 1 more author
    In Adv. Neural Information Processing Systems (NeurIPS), 2021
  2. Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
    Y. Sun, J. Liu, Y. Sun, and 2 more authors
    In Int. Conf. Learn. Represent. (ICLR), 2021
  3. TCI
    CoIL: Coordinate-based Internal Learning for Tomographic Imaging
    Y. Sun, J. Liu, M. Xie, and 2 more authors
    IEEE Trans. Comput. Imag., 2021
  4. TCI
    Scalable Plug-and-Play ADMM with Convergence Guarantees
    Y. Sun, Z. Wu, X. Xu, and 2 more authors
    IEEE Trans. Comput. Imag., 2021
  5. TCI
    SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
    J. Liu, Y. Sun, W. Gan, and 3 more authors
    IEEE Trans. Comput. Imag., 2021
  6. Phase2Phase: Respiratory Motion-Resolved Reconstruction of Free-Breathing Magnetic Resonance Imaging Using Deep Learning Without a Ground Truth for Improved Liver Imaging
    C. Eldeniz, W. Gan, S. Chen, and 8 more authors
    Invest. Radiol., 2021
  7. Joint Reconstruction and Calibration using Regularization by Denoising
    M. Xie, J. Liu, B. Wohlberg, and 1 more author
    In IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), 2021
  8. Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth
    W. Gan, Y. Hu, C. Eldeniz, and 4 more authors
    In IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), 2021
  9. Stochastic Deep Unfolding for Imaging Inverse Problems
    J. Liu, Y. Sun, W. Gan, and 3 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2021
  10. Deep Image Reconstruction using Unregistered Measurements without Groundtruth
    W. Gan, Y. Sun, C. Eldeniz, and 2 more authors
    In IEEE Int. Symp. Biomedical Imaging 2021 (ISBI), 2021

2020

  1. SIMBA: Scalable Inversion in Optical Tomography using Deep Denoising Priors
    Z. Wu, Y. Sun, A. Matlock, and 3 more authors
    IEEE J. Sel. Topics Signal Process., 2020
  2. RARE: Image Reconstruction using Deep Priors Learned without Ground Truth
    J. Liu, Y. Sun, C. Eldeniz, and 3 more authors
    IEEE J. Sel. Topics Signal Process., 2020
  3. MRM
    Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
    M. Torop, S. Kothapalli, Y. Sun, and 4 more authors
    Magn. Reson. Med., 2020
  4. TCI
    Block Coordinate Regularization by Denoising
    Y. Sun, J. Liu, and U. S. Kamilov
    IEEE Trans. Comput. Imag., 2020
  5. SPL
    Provable Convergence of Plug-and-Play Priors with MMSE denoisers
    X. Xu, Y. Sun, J. Liu, and 2 more authors
    IEEE Signal Process. Lett., 2020
  6. SPL
    A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network
    G. Song, Y. Sun, J. Liu, and 2 more authors
    IEEE Signal Process. Lett., 2020
  7. Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling
    X. Xu, J. Liu, Y. Sun, and 2 more authors
    In 54th Asilomar Conf. Signals, Systems, & Computers, 2020
  8. Image reconstruction for MRI using deep CNN priors trained without ground truth
    W. Gan, C. Eldeniz, J. Liu, and 2 more authors
    In 54th Asilomar Conf. Signals, Systems, & Computers, 2020

2019

  1. Block Coordinate Regularization by Denoising
    Y. Sun, J. Liu, and U. S. Kamilov
    In Adv. Neural Information Processing Systems (NeurIPS), 2019
  2. TCI
    An Online Plug-and-Play Algorithm for Regularized Image Reconstruction
    Y. Sun, B. Wohlberg, and U. S. Kamilov
    IEEE Trans. Comput. Imag., 2019
  3. Holographic particle localization under multiple scattering
    W. Tahir, U. S. Kamilov, and L. Tian
    SPIE Adv. Photon., 2019
  4. Infusing Learned Priors into Model-Based Multispectral Imaging
    J. Liu, Y. Sun, and U. S. Kamilov
    In IEEE 8th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2019
  5. Online Regularization by Denoising with Applications to Phase Retrieval
    Z. Wu, Y. Sun, J. Liu, and 1 more author
    In IEEE Int. Conf. Comp. Vis. Workshops (ICCVW), 2019
  6. Plug-and-Play Priors for Reconstruction-based Placental Image Registration
    J. Xing, U. S. Kamilov, W. Wu, and 2 more authors
    In Medical Image Computing and Computer-Assisted Intervention Workshops (MICCAIW), 2019
  7. Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
    Y. Sun, S. Xu, Y. Li, and 3 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2019
  8. Image Restoration using Total Variation Regularized Deep Image Prior
    J. Liu, Y. Sun, X. Xu, and 1 more author
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2019
  9. signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization
    X. Xu, and U. S. Kamilov
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2019
  10. Plug-In Stochastic Gradient Method
    Y. Sun, B. Wohlberg, and U. S. Kamilov
    In International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP), 2019

2018

  1. TCI
    Sparse Blind Deconvolution for Distributed Radar Autofocus Imaging
    H. Mansour, D. Liu, U. S. Kamilov, and 1 more author
    IEEE Trans. Comput. Imag., 2018
  2. SPL
    Learning-based Image Reconstruction via Parallel Proximal Algorithm
    E. Bostan, U. S. Kamilov, and L. Waller
    IEEE Signal Process. Lett., 2018
  3. Efficient and accurate inversion of multiple scattering with deep learning
    Y. Sun, Z. Xia, and U. S. Kamilov
    Opt. Express, 2018
  4. TCI
    SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering
    H.-Y. Liu, D. Liu, H. Mansour, and 3 more authors
    IEEE Trans. Comput. Imag., 2018
  5. Stability of Scattering Decoder For Nonlinear Diffractive Imaging
    Y. Sun, and U. S. Kamilov
    In 4th International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), 2018
  6. Robust sensor localization based on Euclidean distance matrix
    D. Liu, H. Mansour, P. T. Boufounos, and 1 more author
    In IEEE Int. Geosci. Remote Sensing Symp. (IGARSS), 2018
  7. Nonconvex optimization for diffractive imaging
    Y. Ma, H. Mansour, D. Liu, and 2 more authors
    In OSA Mathematics in Imaging (MATH), 2018
  8. LSC
    Sampling and processing for multiple scattering in inline compressive holography
    W. Tahir, U. S. Kamilov, and L. Tian
    In OSA Applications of Lasers for Sensing and Free Space Communications (LS&C), 2018
  9. Radar Autofocus using Sparse Blind Deconvolution
    H. Mansour, U. S. Kamilov, D. Liu, and 1 more author
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2018
  10. DeepCASD: An End-to-End Approach for Multi-spectral Image Super-Resolution
    B. Wen, U. S. Kamilov, D. Liu, and 2 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2018
  11. Accelerated Image Reconstruction for Nonlinear Diffractive Imaging
    Y. Ma, H. Mansour, D. Liu, and 2 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2018

2017

  1. SPL
    A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems
    U. S. Kamilov, H. Mansour, and B. Wohlberg
    IEEE Signal Process. Lett., 2017
  2. TIP
    Motion-Adaptive Depth Superresolution
    U. S. Kamilov, and P. T. Boufounos
    IEEE Trans. Image Process., 2017
  3. TIP
    A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization
    U. S. Kamilov
    IEEE Trans. Image Process., 2017
  4. TIT
    Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
    S. Rangan, A. K. Fletcher, P. Schniter, and 1 more author
    IEEE Trans. Inf. Theory., 2017
  5. Online Convolutional Dictionary Learning for Multimodal Imaging
    K. Degraux, U. S. Kamilov, P. T. Boufounos, and 1 more author
    In IEEE Int. Conf. Image Proc. (ICIP), 2017
  6. Fusion of multi-angular aerial Images based on epipolar geometry and matrix completion
    Y. Ma, D. Liu, H. Mansour, and 4 more authors
    In IEEE Int. Conf. Image Proc. (ICIP), 2017
  7. Learning Convolutional Proximal Filters
    U. S. Kamilov, H. Mansour, and D. Liu
    In 7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), 2017
  8. A Kaczmarz Method for Low Rank Matrix Recovery
    H. Mansour, U. S. Kamilov, and O. Yilmaz
    In 7th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), 2017
  9. Compressive Imaging with Iterative Forward Models
    H.-Y. Liu, U. S. Kamilov, D. Liu, and 2 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2017
  10. Optical Tomography based on a Nonlinear Model that Handles Multiple Scattering
    M. H. Shoreh, A. Goy, J. Lim, and 3 more authors
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2017
  11. Learning Bayesian Optimal FISTA with Error Backpropagation
    U. S. Kamilov, and H. Mansour
    In International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP), 2017

2016

  1. SPL
    A Recursive Born Approach to Nonlinear Inverse Scattering
    U. S. Kamilov, D. Liu, H. Mansour, and 1 more author
    IEEE Signal Process. Lett., 2016
  2. SPL
    Learning optimal nonlinearities for iterative thresholding algorithms
    U. S. Kamilov, and H. Mansour
    IEEE Signal Process. Lett., 2016
  3. TCI
    Optical tomographic image reconstruction based on beam propagation and sparse regularization
    U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, and 4 more authors
    IEEE Trans. Comput. Imag., 2016
  4. Compressive Tomographic Radar Imaging with Total Variation Regularization
    D. Liu, U. S. Kamilov, and P. T. Boufounos
    In IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), 2016
  5. Coherent Distributed Array Imaging under Unknown Position Perturbations
    D. Liu, U. S. Kamilov, and P. T. Boufounos
    In IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), 2016
  6. Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging
    H. Mansour, U. S. Kamilov, D. Liu, and 4 more authors
    In IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa), 2016
  7. Learning MMSE Optimal Thresholds for FISTA
    U. S. Kamilov, and H. Mansour
    In 3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), 2016
  8. Minimizing Isotropic Total Variation without Subiterations
    U. S. Kamilov
    In 3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), 2016
  9. Depth Superresolution using Motion Adaptive Regularization
    U. S. Kamilov, and P. T. Boufounos
    In IEEE Int. Conf. Multimedia & Expo Workshops (ICMEW), 2016
  10. Parallel proximal methods for total variation minimization
    U. S. Kamilov
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2016
  11. Autocalibration of Lidar and Optical Cameras via Edge Alignment
    J. Castorena, U. S. Kamilov, and P. T. Boufounos
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2016
  12. Multipath Removal by Online Blind Deconvolution in Through-the-Wall-Imaging
    H. Mansour, and U. S. Kamilov
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2016

2015

  1. Learning Approach to Optical Tomography
    U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, and 4 more authors
    Optica, 2015
  2. Isotropic inverse-problem approach for two-dimensional phase unwrapping
    U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, and 2 more authors
    J. Opt. Soc. Am. A, 2015
  3. Extended Target Localization with Total-Variation Denoising in Through-the-Wall-Imaging
    H. Handa, H. Mansour, D. Liu, and 1 more author
    In IEEE. Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2015
  4. Sparsity-Driven Distributed Array Imaging
    D. Liu, U. S. Kamilov, and P. T. Boufounos
    In IEEE Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2015
  5. Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
    S. Rangan, A. K. Fletcher, P. Schniter, and 1 more author
    In IEEE Int. Symp. Inform. Theory (ISIT), 2015

2014

  1. SPL
    Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems
    U. S. Kamilov, E. Bostan, and M. Unser
    IEEE Signal Process. Lett., 2014
  2. TIT
    Approximate Message Passing with Consistent Parameter Estimation and Application to Sparse Learning
    U. S. Kamilov, S. Rangan, A. K. Fletcher, and 1 more author
    IEEE Trans. Inf. Theory, 2014

2013

  1. TIP
    Sparse Stochastic Processes and Discretization of Linear Inverse Problems
    E. Bostan, U. S. Kamilov, M. Nilchian, and 1 more author
    IEEE Trans. Image Process., 2013
  2. SPL
    Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning
    A. Kazerouni, U. S. Kamilov, E. Bostan, and 1 more author
    IEEE Signal Process. Lett., 2013
  3. TSP
    Bayesian Estimation for Continuous-Time Sparse Stochastic Processes
    A. Amini, U. S. Kamilov, E. Bostan, and 1 more author
    IEEE Trans. Signal Process., 2013
  4. TSP
    MMSE Estimation of Sparse Levy Processes
    U. S. Kamilov, P. Pad, A. Amini, and 1 more author
    IEEE Trans. Signal Process., 2013
  5. Sparse Image Deconvolution with Message Passing
    U. S. Kamilov, A. Bourquard, and M. Unser
    In Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), 2013
  6. Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes
    E. Bostan, U. S. Kamilov, M. Nilchian, and 1 more author
    In Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), 2013
  7. MAP Estimators for Self-Similar Sparse Stochastic Models
    E. Bostan, J. Fageot, U. S. Kamilov, and 1 more author
    In International Conference on Sampling Theory and Applications (SAMPTA), 2013
  8. Autocalibrated Signal Reconstruction from Linear Measurements using Adaptive GAMP
    U. S. Kamilov, A. Bourquard, E. Bostan, and 1 more author
    In IEEE. Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2013
  9. Benefits of Consistency in Image Denoising with Steerable Wavelets
    B. Tekin, U. S. Kamilov, E. Bostan, and 1 more author
    In IEEE. Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2013

2012

  1. Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning
    U. S. Kamilov, S. Rangan, A. K. Fletcher, and 1 more author
    In Adv. Neural Information Processing Systems (NeurIPS), 2012
  2. TSP
    Message-Passing De-Quantization with Applications to Compressed Sensing
    U. S. Kamilov, V. K. Goyal, and S. Rangan
    IEEE Trans. Signal Process., 2012
  3. SPL
    One-Bit Measurements with Adaptive Thresholds
    U. S. Kamilov, A. Bourquard, A. Amini, and 1 more author
    IEEE Signal Process. Lett., 2012
  4. SPL
    Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising
    U. S. Kamilov, E. Bostan, and M. Unser
    IEEE Signal Process. Lett., 2012
  5. ITW
    The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors
    A. Amini, U. S. Kamilov, and M. Unser
    In IEEE Information Theory Workshop (ITW), 2012
  6. Reconstruction of Biomedical Images and Sparse Stochastic Modeling
    E. Bostan, U. S. Kamilov, and M. Unser
    In IEEE Int. Symp. Biomedical Imaging (ISBI), 2012
  7. MMSE Denoising of Sparse Lévy Processes via Message Passing
    U. S. Kamilov, A. Amini, and M. Unser
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2012
  8. Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets
    U. S. Kamilov, E. Bostan, and M. Unser
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2012
  9. Bayesian Denoising of Generalized Poisson Processes with Finite Rate of Innovation
    A. Amini, U. S. Kamilov, and M. Unser
    In IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), 2012

2011

  1. Generalized Approximate Message Passing Estimation from Quantized Samples
    U. S. Kamilov, V. K. Goyal, and S. Rangan
    In IEEE 4th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), 2011
  2. Message-Passing Estimation from Quantized Samples
    U. S. Kamilov, V. K. Goyal, and S. Rangan
    In 4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS), 2011
  3. Optimal Quantization for Compressive Sensing under Message Passing Reconstruction
    U. S. Kamilov, V. K. Goyal, and S. Rangan
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