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ORCIDSubhadip Mukherjee
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2020 – today
- 2021
[j5]Subhadip Mukherjee, Sunita Sarkar, Somnath Mukhopadhyay
:
Pencil shell matrix based image steganography with elevated embedding capacity. J. Inf. Secur. Appl. 62: 102955 (2021)- [c13]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS 2021: 21413-21425 - [c12]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM 2021: 540-552 - [i12]Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb:
Adversarially learned iterative reconstruction for imaging inverse problems. CoRR abs/2103.16151 (2021) - [i11]Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb:
End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR abs/2106.03538 (2021) - [i10]Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
StyleGAN-induced data-driven regularization for inverse problems. CoRR abs/2110.03814 (2021) - [i9]Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger:
Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR abs/2110.12520 (2021) - 2020
- [c11]Vinith Kishore, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. SPCOM 2020: 1-5 - [i8]Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb:
Learned convex regularizers for inverse problems. CoRR abs/2008.02839 (2020)
2010 – 2019
- 2019
- [j4]Subhadip Mukherjee, Biswapati Jana:
A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion. Int. J. Nat. Comput. Res. 8(4): 13-27 (2019) - 2018
- [j3]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Phase Retrieval From Binary Measurements. IEEE Signal Process. Lett. 25(3): 348-352 (2018) - [c10]Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula:
Phasesplit: A Variable Splitting Framework for Phase Retrieval. ICASSP 2018: 4709-4713 - [c9]Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Speech Enhancement Using the Minimum-probability-of-error Criterion. INTERSPEECH 2018: 1141-1145 - [c8]Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula:
Binary Compressive Sensing and Super-Resolution With Unknown Threshold. SPCOM 2018: 65-69 - [c7]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A Singular Value Relaxation Technique for Learning Sparsifying Transforms. SPCOM 2018: 70-74 - [i7]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Quantization-Aware Phase Retrieval. CoRR abs/1810.01097 (2018) - 2017
- [i6]Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. CoRR abs/1705.07290 (2017) - [i5]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 abs/1706.09585 (2017) - [i4]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Phase Retrieval From Binary Measurements. CoRR abs/1708.00602 (2017) - 2016
- [j2]Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula:
ℓ1-K-SVD: A robust dictionary learning algorithm with simultaneous update. Signal Process. 123: 42-52 (2016) - [c6]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A divide-and-conquer dictionary learning algorithm and its performance analysis. ICASSP 2016: 4712-4716 - [c5]Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Joint dictionary training for bandwidth extension of speech signals. ICASSP 2016: 5925-5929 - [i3]Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula:
Super-Resolution From Binary Measurements With Unknown Threshold. CoRR abs/1606.03472 (2016) - 2014
- [j1]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. IEEE Trans. Signal Process. 62(18): 4659-4672 (2014) - [c4]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: 4249-4253 - [c3]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. DSP 2014: 310-315 - [i2]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. CoRR abs/1403.4781 (2014) - [i1]Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula:
A Robust Dictionary Learning Algorithm for Image Denoising. CoRR abs/1410.0311 (2014) - 2013
- [c2]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: 325-329 - 2012
- [c1]Subhadip Mukherjee, Chandra Sekhar Seelamantula:
An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. ICASSP 2012: 553-556
Coauthor Index
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