Articoli con mandati relativi all'accesso pubblico - Brendt WohlbergUlteriori informazioni
Non disponibile pubblicamente: 1
Stochastic Deep Unfolding for Imaging Inverse Problems
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
Mandati: US Department of Energy
Disponibili pubblicamente: 71
Efficient algorithms for convolutional sparse representations
B Wohlberg
IEEE Transactions on Image Processing 25 (1), 301-315, 2016
Mandati: US Department of Energy
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
Mandati: US Department of Energy
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
Mandati: US Department of Energy
Convolutional Dictionary Learning: A Comparative Review and New Algorithms
C Garcia-Cardona, B Wohlberg
IEEE Transactions on Computational Imaging, 2018
Mandati: US Department of Energy
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
Mandati: US National Science Foundation, US Department of Energy
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
Mandati: US National Science Foundation, US Department of Energy
Incremental Principal Component Pursuit for Video Background Modeling
P Rodríguez, B Wohlberg
Journal of Mathematical Imaging and Vision, 2015
Mandati: US Department of Energy
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
Mandati: US National Science Foundation, US Department of Energy
Scalable plug-and-play ADMM with convergence guarantees
Y Sun, Z Wu, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging, 2021
Mandati: US National Science Foundation, US Department of Energy
Provable convergence of plug-and-play priors with MMSE denoisers
X Xu, Y Sun, J Liu, B Wohlberg, US Kamilov
IEEE Signal Processing Letters 27, 1280-1284, 2020
Mandati: US National Science Foundation, US Department of Energy
First and Second Order Methods for Online Convolutional Dictionary Learning
J Liu, C Garcia-Cardona, B Wohlberg, W Yin
SIAM Journal on Imaging Sciences 11 (2), 1589-1628, 2018
Mandati: US National Science Foundation, US Department of Energy, US Department of …
Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm
Y Sun, S Xu, Y Li, L Tian, B Wohlberg, US Kamilov
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2019
Mandati: US National Science Foundation
Boundary Handling for Convolutional Sparse Representations
B Wohlberg
IEEE International Conference on Image Processing (ICIP), 2016
Mandati: US Department of Energy
Multiscale data-driven seismic full-waveform inversion with field data study
S Feng, Y Lin, B Wohlberg
IEEE transactions on geoscience and remote sensing 60, 1-14, 2021
Mandati: US Department of Energy
Convolutional Sparse Representation of Color Images
B Wohlberg
Proceedings of the IEEE Southwest Symposium on Image Analysis and …, 2016
Mandati: US Department of Energy
A Matlab implementation of a fast incremental principal component pursuit algorithm for Video Background Modeling
P Rodriguez, B Wohlberg
IEEE International Conference on Image Processing (ICIP), 3414-3416, 2014
Mandati: US Department of Energy
Translational and Rotational Jitter Invariant Incremental Principal Component Pursuit for Video Background Modeling
P Rodrıguez, B Wohlberg
Proceedings of IEEE International Conference on Image Processing (ICIP), 2015
Mandati: US Department of Energy
Convolutional sparse representations as an image model for impulse noise restoration
B Wohlberg
IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 1-5, 2016
Mandati: US Department of Energy
SGD-Net: Efficient model-based deep learning with theoretical guarantees
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 598--610, 2021
Mandati: US National Science Foundation, US Department of Energy
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