Bayesian compressive sensing using Laplace priors SD Babacan, R Molina, AK Katsaggelos IEEE Transactions on image processing 19 (1), 53-63, 2009 | 907 | 2009 |
White-light diffraction tomography of unlabelled live cells T Kim, R Zhou, M Mir, SD Babacan, PS Carney, LL Goddard, G Popescu Nature Photonics 8 (3), 256-263, 2014 | 449 | 2014 |
Variational Bayesian super resolution SD Babacan, R Molina, AK Katsaggelos IEEE Transactions on Image Processing 20 (4), 984-999, 2010 | 331 | 2010 |
Sparse Bayesian methods for low-rank matrix estimation SD Babacan, M Luessi, R Molina, AK Katsaggelos IEEE Transactions on Signal Processing 60 (8), 3964-3977, 2012 | 316 | 2012 |
Variational Bayesian blind deconvolution using a total variation prior SD Babacan, R Molina, AK Katsaggelos IEEE Transactions on Image Processing 18 (1), 12-26, 2008 | 289 | 2008 |
Method and apparatus for block-based compression of light-field images SD Babacan, TG Georgiev US Patent 8,155,456, 2012 | 270 | 2012 |
Radiance processing by demultiplexing in the frequency domain TG Georgiev, C Intwala, SD Babacan US Patent 8,559,756, 2013 | 265 | 2013 |
Parameter estimation in TV image restoration using variational distribution approximation SD Babacan, R Molina, AK Katsaggelos IEEE transactions on image processing 17 (3), 326-339, 2008 | 227 | 2008 |
Bayesian blind deconvolution with general sparse image priors SD Babacan, R Molina, MN Do, AK Katsaggelos Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 222 | 2012 |
Bayesian group-sparse modeling and variational inference SD Babacan, S Nakajima, MN Do IEEE transactions on signal processing 62 (11), 2906-2921, 2014 | 147 | 2014 |
Bayesian combination of sparse and non-sparse priors in image super resolution S Villena, M Vega, SD Babacan, R Molina, AK Katsaggelos Digital Signal Processing 23 (2), 530-541, 2013 | 138 | 2013 |
Total variation super resolution using a variational approach SD Babacan, R Molina, AK Katsaggelos 2008 15th IEEE International Conference on Image Processing, 641-644, 2008 | 136 | 2008 |
Global analytic solution of fully-observed variational Bayesian matrix factorization S Nakajima, M Sugiyama, SD Babacan, R Tomioka The Journal of Machine Learning Research 14 (1), 1-37, 2013 | 119 | 2013 |
Compressive light field sensing SD Babacan, R Ansorge, M Luessi, PR Matarán, R Molina, ... IEEE Transactions on image processing 21 (12), 4746-4757, 2012 | 119 | 2012 |
Lossless hyperspectral-image compression using context-based conditional average H Wang, SD Babacan, K Sayood IEEE transactions on geoscience and remote sensing 45 (12), 4187-4193, 2007 | 115 | 2007 |
Denoising diffusion‐weighted magnitude MR images using rank and edge constraints F Lam, SD Babacan, JP Haldar, MW Weiner, N Schuff, ZP Liang Magnetic resonance in medicine 71 (3), 1272-1284, 2014 | 95 | 2014 |
Blind image deconvolution: problem formulation and existing approaches TE Bishop, SD Babacan, B Amizic, AK Katsaggelos, T Chan, R Molina Blind Image Deconvolution, 21-62, 2017 | 71 | 2017 |
Compressive passive millimeter-wave imaging SD Babacan, M Luessi, L Spinoulas, AK Katsaggelos, N Gopalsami, ... 2011 18th IEEE International Conference on Image Processing, 2705-2708, 2011 | 70 | 2011 |
Unified frequency domain analysis of lightfield cameras T Georgiev, C Intwala, S Babakan, A Lumsdaine Computer Vision–ECCV 2008, 224-237, 2008 | 67 | 2008 |
Visualization of image themes based on image content HO Bo-Jhang, SD Babacan US Patent 10,127,945, 2018 | 62 | 2018 |