Subhadip Mukherjee

Innov. Syst. Softw. Eng., December, 2024

Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction.

[BibT_eX]

[DOI]

Marie-Christine Zdora

Martin Stauber

Zsuzsanna Varga

Marco Stampanoni

IEEE Trans. Medical Imaging, March, 2024

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Provably Convergent Plug-and-Play Quasi-Newton Methods.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2024

NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems.

[BibT_eX]

[DOI]

Xiaoqun Zhang

SIAM J. Imaging Sci., 2024

Parallel BFS through pennant data structure with reducer hyper-object based data hiding for 3D mesh images.

[BibT_eX]

[DOI]

Secur. Priv., 2024

IoTSLE: Securing IoT systems in low-light environments through finite automata, deep learning and DNA computing based image steganographic model.

[BibT_eX]

[DOI]

Internet Things, 2024

Bilevel Learning with Inexact Stochastic Gradients.

[BibT_eX]

[DOI]

Mohammad Sadegh Salehi

Lindon Roberts

Matthias J. Ehrhardt

CoRR, 2024

A Primal-dual algorithm for image reconstruction with ICNNs.

[BibT_eX]

[DOI]

Hok Shing Wong

Matthias J. Ehrhardt

CoRR, 2024

Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds.

[BibT_eX]

[DOI]

CoRR, 2024

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI.

[BibT_eX]

[DOI]

Simone Saitta

Marcello Carioni

Alberto Redaelli

Comput. Methods Programs Biomed., 2024

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.

[BibT_eX]

[DOI]

Zakhar Shumaylov

Jeremy Budd

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-Driven Convex Regularizers for Inverse Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction.

[BibT_eX]

[DOI]

Ander Biguri

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Data-Driven Mirror Descent with Input-Convex Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., June, 2023

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2023

Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging.

[BibT_eX]

[DOI]

CoRR, 2023

Provably Convergent Data-Driven Convex-Nonconvex Regularization.

[BibT_eX]

[DOI]

Zakhar Shumaylov

Jeremy Budd

CoRR, 2023

Dynamic Bilevel Learning with Inexact Line Search.

[BibT_eX]

[DOI]

Mohammad Sadegh Salehi

Lindon Roberts

Matthias J. Ehrhardt

CoRR, 2023

Convergent regularization in inverse problems and linear plug-and-play denoisers.

[BibT_eX]

[DOI]

Andreas Hauptmann

Ferdia Sherry

CoRR, 2023

NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems.

[BibT_eX]

[DOI]

Xiaoqun Zhang

CoRR, 2023

Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers.

[BibT_eX]

[DOI]

Vasiliki Stergiopoulou

Luca Calatroni

Laure Blanc-Féraud

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Robust Data-Driven Accelerated Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Quantization-aware phase retrieval.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2022

Accelerating Deep Unrolling Networks via Dimensionality Reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Tree species classification from hyperspectral data using graph-regularized neural networks.

[BibT_eX]

[DOI]

Debmita Bandyopadhyay

CoRR, 2022

Learned reconstruction with convergence guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

Stylegan-Induced Data-Driven Regularization for Inverse Problems.

[BibT_eX]

[DOI]

Arthur Conmy

Proceedings of the IEEE International Conference on Acoustics, 2022

VCI Construction and Shifting Strategy Based Steganography for 3D Images.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence in Communications and Business Analytics, 2022

2021

Pencil shell matrix based image steganography with elevated embedding capacity.

[BibT_eX]

[DOI]

J. Inf. Secur. Appl., 2021

Learning convex regularizers satisfying the variational source condition for inverse problems.

[BibT_eX]

[DOI]

Martin Burger

CoRR, 2021

Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems.

[BibT_eX]

[DOI]

Ozan Öktem

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

End-to-end reconstruction meets data-driven regularization for inverse problems.

[BibT_eX]

[DOI]

Marcello Carioni

Ozan Öktem

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learned convex regularizers for inverse problems.

[BibT_eX]

[DOI]

CoRR, 2020

PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming.

[BibT_eX]

[DOI]

Vinith Kishore

Proceedings of the International Conference on Signal Processing and Communications, 2020

2019

A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion.

[BibT_eX]

[DOI]

Biswapati Jana

Int. J. Nat. Comput. Res., 2019

2018

Phase Retrieval From Binary Measurements.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2018

Binary Compressive Sensing and Super-Resolution With Unknown Threshold.

[BibT_eX]

[DOI]

Anjany Kumar Sekuboyina

Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

A Singular Value Relaxation Technique for Learning Sparsifying Transforms.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018

Speech Enhancement Using the Minimum-probability-of-error Criterion.

[BibT_eX]

[DOI]

Jishnu Sadasivan

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Phasesplit: A Variable Splitting Framework for Phase Retrieval.

[BibT_eX]

[DOI]

Suprosanna Shit

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Sparse Coding Using Optimized Linear Expansion of Thresholds.

[BibT_eX]

[DOI]

Debabrata Mahapatra

CoRR, 2017

2016

ℓ<sub>1</sub>-K-SVD: A robust dictionary learning algorithm with simultaneous update.

[BibT_eX]

[DOI]

Rupam Basu

Signal Process., 2016

Super-Resolution From Binary Measurements With Unknown Threshold.

[BibT_eX]

[DOI]

Anjany Kumar Sekuboyina

CoRR, 2016

Joint dictionary training for bandwidth extension of speech signals.

[BibT_eX]

[DOI]

Jishnu Sadasivan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A divide-and-conquer dictionary learning algorithm and its performance analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation.

[BibT_eX]

[DOI]

CoRR, 2014

A Robust Dictionary Learning Algorithm for Image Denoising.

[BibT_eX]

[DOI]

Rupam Basu

CoRR, 2014

A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising.

[BibT_eX]

[DOI]

Jishnu Sadasivan

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Phase retrieval for a class of 2-D signals characterized by first-order difference equations.

[BibT_eX]

[DOI]

Basty Ajay Shenoy

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography.

[BibT_eX]

[DOI]