Brendt Wohlberg

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Paul RodriguezPontificia Universidad Católica del PerúE-mail confirmado em pucp.edu.pe
Ulugbek S. KamilovAssociate Professor, Computational Imaging Group, Washington University in St. Louis (WashU)E-mail confirmado em wustl.edu
Charles A BoumanProfessor of Electrical and Computer Engineering, Purdue UniversityE-mail confirmado em purdue.edu
Youzuo LinAssociate Professor, University of North Carolina at Chapel HillE-mail confirmado em unc.edu
Yu Sun (孙彧)Assistant Professor, ECE, Johns Hopkins UniversityE-mail confirmado em caltech.edu
James TheilerTechnical Staff Member, Los Alamos National LaboratoryE-mail confirmado em lanl.gov
Jiaming LiuPostdoc@Stanford, PhD@WUSTLE-mail confirmado em stanford.edu
Cristina Garcia-CardonaScientist, Los Alamos National LaboratoryE-mail confirmado em lanl.gov
Daniel M. TartakovskyStanford UniversityE-mail confirmado em stanford.edu
Gerhard de JagerUniversity of Cape TownE-mail confirmado em uct.ac.za
Gregery T BuzzardProfessor of Mathematics, Purdue UniversityE-mail confirmado em purdue.edu
Singanallur V. VenkatakrishnanResearch Staff - Imaging, Signals and Machine Learning, Oak Ridge National LaboratoryE-mail confirmado em ornl.gov
Giacomo BoracchiAssociate Professor, Politecnico di Milano, DEIBE-mail confirmado em polimi.it
Shihang FengResearch Geophysicist, CGGE-mail confirmado em cgg.com
Diego CarreraSTMicroelectronicsE-mail confirmado em st.com
Xiaojian XuAI Scientist @ GE HealthCare; PhD in CS @ Washington University in St. LouisE-mail confirmado em wustl.edu
Alessandro FoiProfessor of Signal Processing at Tampere University (formerly, Tampere University of Technology)E-mail confirmado em tut.fi
Michael Shoemakera.i. solutions, Inc.E-mail confirmado em nasa.gov
Michael T. McCannLos Alamos National LaboratoryE-mail confirmado em lanl.gov
Zhiyao DuanElectrical and Computer Engineering, University of RochesterE-mail confirmado em rochester.edu

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Brendt Wohlberg

Los Alamos National Laboratory

E-mail confirmado em lanl.gov - Página inicial

computational imaging image processing sparse representations image restoration inverse problems


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Plug-and-Play priors for model based reconstruction SV Venkatakrishnan, CA Bouman, B Wohlberg IEEE Global Conference on Signal and Information Processing (GlobalSIP), 945-948, 2013	1306	2013
A review of the fractal image coding literature B Wohlberg, de Jager Gerhard IEEE Transactions on Image Processing 8 (12), 1716-1729, 1999	496	1999
Efficient algorithms for convolutional sparse representations B Wohlberg IEEE Transactions on Image Processing 25 (1), 301-315, 2016	432	2016
Plug-and-play priors for bright field electron tomography and sparse interpolation S Sreehari, SV Venkatakrishnan, B Wohlberg, GT Buzzard, LF Drummy, ... IEEE Transactions on Computational Imaging 2 (4), 408-423, 2016	413	2016
Efficient minimization method for a generalized total variation functional P Rodríguez, B Wohlberg IEEE Transactions on Image Processing 18 (2), 322-332, 2009	299	2009
A plug-and-play priors approach for solving nonlinear imaging inverse problems US Kamilov, H Mansour, B Wohlberg IEEE Signal Processing Letters 24 (12), 1872-1876, 2017	256	2017
Convolutional Dictionary Learning: A Comparative Review and New Algorithms C Garcia-Cardona, B Wohlberg IEEE Transactions on Computational Imaging, 2018	245*	2018
An online plug-and-play algorithm for regularized image reconstruction Y Sun, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 5 (3), 395-408, 2019	242	2019
Efficient Convolutional Sparse Coding B Wohlberg IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2014	219	2014
Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications US Kamilov, CA Bouman, GT Buzzard, B Wohlberg IEEE Signal Processing Magazine 40 (1), 85-97, 2023	192	2023
A nonconvex ADMM algorithm for group sparsity with sparse groups R Chartrand, B Wohlberg IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2013	167	2013
An iteratively reweighted norm algorithm for minimization of total variation functionals B Wohlberg, P Rodríguez IEEE Signal Processing Letters 14 (12), 948-951, 2007	156	2007
Incremental Principal Component Pursuit for Video Background Modeling P Rodríguez, B Wohlberg Journal of Mathematical Imaging and Vision, 2015	152	2015
Fast Principal Component Pursuit via Alternating Minimization P Rodrıguez, B Wohlberg IEEE International Conference on Image Processing (ICIP), 69-73, 2013	141	2013
Incremental Methods for Robust Local Subspace Estimation P Rodriguez, B Wohlberg Handbook of Robust Low-Rank and Sparse Matrix Decomposition Applications in …, 2016	137*	2016
Coil: Coordinate-based internal learning for tomographic imaging Y Sun, J Liu, M Xie, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging 7, 1400-1412, 2021	133*	2021
Blind image deconvolution: Motion blur estimation F Krahmer, Y Lin, B McAdoo, K Ott, J Wang, D Widemann, B Wohlberg IMA Preprints Series, 2133-5, 2006	120	2006
Scalable plug-and-play ADMM with convergence guarantees Y Sun, Z Wu, X Xu, B Wohlberg, US Kamilov IEEE Transactions on Computational Imaging, 2021	101	2021
A gradient descent solution to the Monge-Kantorovich problem R Chartrand, B Wohlberg, K Vixie, E Bollt Applied Mathematical Sciences 3 (22), 1071-1080, 2009	100	2009
ADMM penalty parameter selection by residual balancing B Wohlberg arXiv preprint arXiv:1704.06209, 2017	88	2017

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