Subhadip Mukherjee

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 49

Top Topics

Inverse Problems

Data Hiding Scheme

Fluorescence Microscopy

Top Venues

Publications

Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. Comput. Methods Programs Biomed. 246 (2024)
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb
Data-Driven Convex Regularizers for Inverse Problems. ICASSP (2024)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. Trans. Mach. Learn. Res. 2024 (2024)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. CoRR (2024)
Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. CoRR (2024)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. 17 (2) (2024)
Stefano van Gogh, Subhadip Mukherjee, Michal Rawlik, Alexandre Pereira, Simon Spindler, Marie-Christine Zdora, Martin Stauber, Zsuzsanna Varga, Marco Stampanoni
Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction. IEEE Trans. Medical Imaging 43 (3) (2024)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. 17 (2) (2024)
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Provably Convergent Data-Driven Convex-Nonconvex Regularization. CoRR (2023)
Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR (2023)
Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR (2023)
Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging. CoRR (2023)
Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
Dynamic Bilevel Learning with Inexact Line Search. CoRR (2023)
Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM (2023)
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. 40 (1) (2023)
Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola Bibiane Schönlieb, Xiaoqun Zhang
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR (2023)
Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. 5 (2) (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR (2023)
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
Robust Data-Driven Accelerated Mirror Descent. ICASSP (2023)
Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Accelerating Deep Unrolling Networks via Dimensionality Reduction. CoRR (2022)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
Quantization-aware phase retrieval. Int. J. Wavelets Multiresolution Inf. Process. 20 (3) (2022)
Debmita Bandyopadhyay, Subhadip Mukherjee
Tree species classification from hyperspectral data using graph-regularized neural networks. CoRR (2022)
Subhadip Mukherjee, Sunita Sarkar, Somnath Mukhopadhyay
VCI Construction and Shifting Strategy Based Steganography for 3D Images. CICBA (2022)
Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP (2022)
Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
Learned reconstruction with convergence guarantees. CoRR (2022)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS (2021)
Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM (2021)
Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR (2021)
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR (2021)
Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
StyleGAN-induced data-driven regularization for inverse problems. CoRR (2021)
Subhadip Mukherjee, Sunita Sarkar, Somnath Mukhopadhyay
Pencil shell matrix based image steganography with elevated embedding capacity. J. Inf. Secur. Appl. 62 (2021)
Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR (2021)
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Learned convex regularizers for inverse problems. CoRR (2020)
Vinith Kishore, Subhadip Mukherjee, Chandra Sekhar Seelamantula
PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. SPCOM (2020)
Subhadip Mukherjee, Biswapati Jana
A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion. Int. J. Nat. Comput. Res. 8 (4) (2019)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
Quantization-Aware Phase Retrieval. CoRR (2018)
Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
Binary Compressive Sensing and Super-Resolution With Unknown Threshold. SPCOM (2018)
Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula
Phasesplit: A Variable Splitting Framework for Phase Retrieval. ICASSP (2018)
Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
Speech Enhancement Using the Minimum-probability-of-error Criterion. INTERSPEECH (2018)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
A Singular Value Relaxation Technique for Learning Sparsifying Transforms. SPCOM (2018)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
Phase Retrieval From Binary Measurements. IEEE Signal Process. Lett. 25 (3) (2018)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
Phase Retrieval From Binary Measurements. CoRR (2017)
Subhadip Mukherjee, Deepak R., Huaijin G. Chen, Ashok Veeraraghavan, Chandra Sekhar Seelamantula
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging. CoRR (2017)
Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. CoRR (2017)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
A divide-and-conquer dictionary learning algorithm and its performance analysis. ICASSP (2016)
Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
Super-Resolution From Binary Measurements With Unknown Threshold. CoRR (2016)
Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula
-K-SVD: A robust dictionary learning algorithm with simultaneous update. Signal Process. 123 (2016)
Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
Joint dictionary training for bandwidth extension of speech signals. ICASSP (2016)
Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising. ICASSP (2014)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. DSP (2014)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. CoRR (2014)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. IEEE Trans. Signal Process. 62 (18) (2014)
Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula
A Robust Dictionary Learning Algorithm for Image Denoising. CoRR (2014)
Basty Ajay Shenoy, Subhadip Mukherjee, Chandra Sekhar Seelamantula
Phase retrieval for a class of 2-D signals characterized by first-order difference equations. ICIP (2013)
Subhadip Mukherjee, Chandra Sekhar Seelamantula
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. ICASSP (2012)