Predictive Image Compression Using Conditional Average. - S. Derin Babacan; Khalid Sayood (Data Compression Conference, 2004)

Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages. - Hongqiang Wang; S. Derin Babacan; Khalid Sayood (DCC, 2005)

Spatiotemporal algorithm for joint video segmentation and foreground detection. - S. Derin Babacan; Thrasyvoulos N. Pappas (EUSIPCO, 2006)

Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2007)

Spatiotemporal Algorithm for Background Subtraction. - S. Derin Babacan; Thrasyvoulos N. Pappas (ICASSP (1), 2007)

Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP (1), 2007)

Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average. - Hongqiang Wang; S. Derin Babacan; Khalid Sayood (IEEE Trans. Geosci. Remote. Sens., 2007)

Parameter estimation in total variation blind deconvolution. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2008)

Generalized Gaussian Markov random field image restoration using variational distribution approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2008)

Total variation super resolution using a variational approach. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2008)

Combination of MR surface coil images using weighted constrained least squares. - S. Derin Babacan; Xiaoming Yin; Andrew C. Larson; Aggelos K. Katsaggelos (ICIP, 2008)

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2008)

Non-convex priors in Bayesian compressed sensing. - S. Derin Babacan; Luis Mancera; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2009)

Fast bayesian compressive sensing using Laplace priors. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2009)

Compressive sensing of light fields. - S. Derin Babacan; Reto Ansorge; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior. - Stefanos P. Belekos; Nikolas P. Galatsanos; S. Derin Babacan; Aggelos K. Katsaggelos (ICIP, 2009)

Image restoration by mixture modelling of an overcomplete linear representation. - Luis Mancera; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2009)

Variational Bayesian Blind Deconvolution Using a Total Variation Prior. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2009)

Sparse Bayesian blind image deconvolution with parameter estimation. - Bruno Amizic; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2010)

Combining observation models in dual exposure problems using the Kullback-Leibler divergence. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2010)

Fast total variation image restoration with parameter estimation using bayesian inference. - Bruno Amizic; S. Derin Babacan; Michael K. Ng 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2010)

Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (ICASSP, 2010)

Sparse Bayesian image restoration. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2010)

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. - Salvador Villena; Miguel Vega; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ICIP, 2010)

Bayesian Compressive Sensing Using Laplace Priors. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Bayesian Blind Deconvolution From Differently Exposed Image Pairs. - S. Derin Babacan; Jingnan Wang; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Reference-guided sparsifying transform design for compressive sensing MRI. - S. Derin Babacan; Xi Peng 004; Xian-Pei Wang; Minh N. Do; Zhi-Pei Liang (EMBC, 2011)

Space-variant kernel deconvolution for dual exposure problem. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2011)

Low-rank matrix completion by variational sparse Bayesian learning. - S. Derin Babacan; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (ICASSP, 2011)

Compressive passive millimeter-wave imaging. - S. Derin Babacan; Martin Luessi; Leonidas Spinoulas; Aggelos K. Katsaggelos; Nachappa Gopalsami; Thomas W. Elmer; Ryan Ahern; Shaolin Liao; Apostolos C. Raptis (ICIP, 2011)

Video retrieval using sparse Bayesian reconstruction. - Pablo Ruiz 002; S. Derin Babacan; Li Gao; Zhu Li 001; Rafael Molina 001; Aggelos K. Katsaggelos (ICME, 2011)

On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution. - Shinichi Nakajima; Masashi Sugiyama; S. Derin Babacan (ICML, 2011)

Retrieval of video clips with missing frames using sparse Bayesian reconstruction. - Pablo Ruiz 002; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (ISPA, 2011)

Reference-driven MR image reconstruction with sparsity and support constraints. - Xi Peng 004; Huiqian Du; Fan Lam; S. Derin Babacan; Zhi-Pei Liang (ISBI, 2011)

Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent. - Shinichi Nakajima; Masashi Sugiyama; S. Derin Babacan (NIPS, 2011)

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (NeuroImage, 2011)

Variational Bayesian Super Resolution. - S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2011)

Registration and integration of multiple depth images using signed distance function. - Daniel B. Kubacki; Huy Quang Bui; S. Derin Babacan; Minh N. Do (Computational Imaging, 2012)

Bayesian Blind Deconvolution with General Sparse Image Priors. - S. Derin Babacan; Rafael Molina 001; Minh N. Do; Aggelos K. Katsaggelos (ECCV (6), 2012)

Upsampling and denoising of depth maps via joint-segmentation. - Miguel Tallon; S. Derin Babacan; Javier Mateos; Minh N. Do; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2012)

Interventional MRI with sparse sampling using union-of-subspaces. - S. Derin Babacan; Fan Lam; Xi Peng 004; Minh N. Do; Zhi-Pei Liang (ISBI, 2012)

Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity. - Anthony G. Christodoulou; S. Derin Babacan; Zhi-Pei Liang (ISBI, 2012)

Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints. - Fan Lam; S. Derin Babacan; Justin P. Haldar; Norbert Schuff; Zhi-Pei Liang (ISBI, 2012)

Probabilistic Low-Rank Subspace Clustering. - S. Derin Babacan; Shinichi Nakajima; Minh N. Do (NIPS, 2012)

Perfect Dimensionality Recovery by Variational Bayesian PCA. - Shinichi Nakajima; Ryota Tomioka; Masashi Sugiyama; S. Derin Babacan (NIPS, 2012)

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization. - Shinichi Nakajima; Masashi Sugiyama; S. Derin Babacan (ACML, 2012)

Compressive Light Field Sensing. - S. Derin Babacan; Reto Ansorge; Martin Luessi; Pablo Ruiz Matarán; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2012)

Sparse Bayesian Methods for Low-Rank Matrix Estimation. - S. Derin Babacan; Martin Luessi; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Signal Process., 2012)

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering. - Shinichi Nakajima; Akiko Takeda; S. Derin Babacan; Masashi Sugiyama; Ichiro Takeuchi (NIPS, 2013)

Bayesian combination of sparse and non-sparse priors in image super resolution. - Salvador Villena; Miguel Vega; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (Digit. Signal Process., 2013)

Space-variant blur deconvolution and denoising in the dual exposure problem. - Miguel Tallon; Javier Mateos; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (Inf. Fusion, 2013)

Global analytic solution of fully-observed variational Bayesian matrix factorization. - Shinichi Nakajima; Masashi Sugiyama; S. Derin Babacan; Ryota Tomioka (J. Mach. Learn. Res., 2013)

Variational Bayesian sparse additive matrix factorization. - Shinichi Nakajima; Masashi Sugiyama; S. Derin Babacan (Mach. Learn., 2013)

Bayesian Simultaneous Sparse Approximation With Smooth Signals. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Signal Process., 2013)

Variational Bayesian causal connectivity analysis for fMRI. - Martin Luessi; S. Derin Babacan; Rafael Molina 001; James R. Booth; Aggelos K. Katsaggelos (Frontiers Neuroinformatics, 2014)

Variational Bayesian Methods For Multimedia Problems. - Zhaofu Chen; S. Derin Babacan; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Multim., 2014)

Bayesian Group-Sparse Modeling and Variational Inference. - S. Derin Babacan; Shinichi Nakajima; Minh N. Do (IEEE Trans. Signal Process., 2014)

Condition for perfect dimensionality recovery by variational Bayesian PCA. - Shinichi Nakajima; Ryota Tomioka; Masashi Sugiyama; S. Derin Babacan (J. Mach. Learn. Res., 2015)