S. Derin Babacan

Publication Activity (10 Years)

Years Active: 2004-2015
Publications (10 Years): 1

Top Topics

Matrix Factorization

Variational Bayesian

Super Resolution

Top Venues

IEEE Trans. Signal Process.

J. Mach. Learn. Res.

Publications

Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
Condition for perfect dimensionality recovery by variational Bayesian PCA. J. Mach. Learn. Res. 16 (2015)
Zhaofu Chen, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Methods For Multimedia Problems. IEEE Trans. Multim. 16 (4) (2014)
S. Derin Babacan, Shinichi Nakajima, Minh N. Do
Bayesian Group-Sparse Modeling and Variational Inference. IEEE Trans. Signal Process. 62 (11) (2014)
Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
Variational Bayesian causal connectivity analysis for fMRI. Frontiers Neuroinformatics 8 (2014)
Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering. NIPS (2013)
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Variational Bayesian sparse additive matrix factorization. Mach. Learn. 92 (2-3) (2013)
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, Ryota Tomioka
Global analytic solution of fully-observed variational Bayesian matrix factorization. J. Mach. Learn. Res. 14 (1) (2013)
Martin Luessi, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Simultaneous Sparse Approximation With Smooth Signals. IEEE Trans. Signal Process. 61 (22) (2013)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Space-variant blur deconvolution and denoising in the dual exposure problem. Inf. Fusion 14 (4) (2013)
Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. 23 (2) (2013)
Fan Lam, S. Derin Babacan, Justin P. Haldar, Norbert Schuff, Zhi-Pei Liang
Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints. ISBI (2012)
S. Derin Babacan, Shinichi Nakajima, Minh N. Do
Probabilistic Low-Rank Subspace Clustering. NIPS (2012)
Miguel Tallon, S. Derin Babacan, Javier Mateos, Minh N. Do, Rafael Molina, Aggelos K. Katsaggelos
Upsampling and denoising of depth maps via joint-segmentation. EUSIPCO (2012)
Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan
Perfect Dimensionality Recovery by Variational Bayesian PCA. NIPS (2012)
S. Derin Babacan, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
Sparse Bayesian Methods for Low-Rank Matrix Estimation. IEEE Trans. Signal Process. 60 (8) (2012)
Anthony G. Christodoulou, S. Derin Babacan, Zhi-Pei Liang
Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity. ISBI (2012)
S. Derin Babacan, Fan Lam, Xi Peng, Minh N. Do, Zhi-Pei Liang
Interventional MRI with sparse sampling using union-of-subspaces. ISBI (2012)
Daniel B. Kubacki, Huy Quang Bui, S. Derin Babacan, Minh N. Do
Registration and integration of multiple depth images using signed distance function. Computational Imaging (2012)
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization. ACML (2012)
S. Derin Babacan, Reto Ansorge, Martin Luessi, Pablo Ruiz Matarán, Rafael Molina, Aggelos K. Katsaggelos
Compressive Light Field Sensing. IEEE Trans. Image Process. 21 (12) (2012)
S. Derin Babacan, Rafael Molina, Minh N. Do, Aggelos K. Katsaggelos
Bayesian Blind Deconvolution with General Sparse Image Priors. ECCV (6) (2012)
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution. ICML (2011)
S. Derin Babacan, Martin Luessi, Leonidas Spinoulas, Aggelos K. Katsaggelos, Nachappa Gopalsami, Thomas W. Elmer, Ryan Ahern, Shaolin Liao, Apostolos C. Raptis
Compressive passive millimeter-wave imaging. ICIP (2011)
Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors. NeuroImage 55 (1) (2011)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Super Resolution. IEEE Trans. Image Process. 20 (4) (2011)
Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent. NIPS (2011)
S. Derin Babacan, Xi Peng, Xian-Pei Wang, Minh N. Do, Zhi-Pei Liang
Reference-guided sparsifying transform design for compressive sensing MRI. EMBC (2011)
Pablo Ruiz, S. Derin Babacan, Li Gao, Zhu Li, Rafael Molina, Aggelos K. Katsaggelos
Video retrieval using sparse Bayesian reconstruction. ICME (2011)
Xi Peng, Huiqian Du, Fan Lam, S. Derin Babacan, Zhi-Pei Liang
Reference-driven MR image reconstruction with sparsity and support constraints. ISBI (2011)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Space-variant kernel deconvolution for dual exposure problem. EUSIPCO (2011)
Pablo Ruiz, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Retrieval of video clips with missing frames using sparse Bayesian reconstruction. ISPA (2011)
S. Derin Babacan, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
Low-rank matrix completion by variational sparse Bayesian learning. ICASSP (2011)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Sparse Bayesian image restoration. ICIP (2010)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Compressive Sensing Using Laplace Priors. IEEE Trans. Image Process. 19 (1) (2010)
Bruno Amizic, S. Derin Babacan, Michael K. Ng, Rafael Molina, Aggelos K. Katsaggelos
Fast total variation image restoration with parameter estimation using bayesian inference. ICASSP (2010)
S. Derin Babacan, Jingnan Wang, Rafael Molina, Aggelos K. Katsaggelos
Bayesian Blind Deconvolution From Differently Exposed Image Pairs. IEEE Trans. Image Process. 19 (11) (2010)
Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Combining observation models in dual exposure problems using the Kullback-Leibler divergence. EUSIPCO (2010)
Salvador Villena, Miguel Vega, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP (2010)
Martin Luessi, S. Derin Babacan, Rafael Molina, James R. Booth, Aggelos K. Katsaggelos
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. ICASSP (2010)
Bruno Amizic, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Sparse Bayesian blind image deconvolution with parameter estimation. EUSIPCO (2010)
S. Derin Babacan, Luis Mancera, Rafael Molina, Aggelos K. Katsaggelos
Non-convex priors in Bayesian compressed sensing. EUSIPCO (2009)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Fast bayesian compressive sensing using Laplace priors. ICASSP (2009)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Blind Deconvolution Using a Total Variation Prior. IEEE Trans. Image Process. 18 (1) (2009)
S. Derin Babacan, Jingnan Wang, Rafael Molina, Aggelos K. Katsaggelos
Bayesian blind deconvolution from differently exposed image pairs. ICIP (2009)
Luis Mancera, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Image restoration by mixture modelling of an overcomplete linear representation. ICIP (2009)
Stefanos P. Belekos, Nikolas P. Galatsanos, S. Derin Babacan, Aggelos K. Katsaggelos
Maximum a posteriori super-resolution of compressed video using a new multichannel image prior. ICIP (2009)
S. Derin Babacan, Reto Ansorge, Martin Luessi, Rafael Molina, Aggelos K. Katsaggelos
Compressive sensing of light fields. ICIP (2009)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Generalized Gaussian Markov random field image restoration using variational distribution approximation. ICASSP (2008)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Total variation super resolution using a variational approach. ICIP (2008)
S. Derin Babacan, Xiaoming Yin, Andrew C. Larson, Aggelos K. Katsaggelos
Combination of MR surface coil images using weighted constrained least squares. ICIP (2008)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Parameter estimation in total variation blind deconvolution. EUSIPCO (2008)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation. IEEE Trans. Image Process. 17 (3) (2008)
Hongqiang Wang, S. Derin Babacan, Khalid Sayood
Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average. IEEE Trans. Geosci. Remote. Sens. 45 (12-2) (2007)
S. Derin Babacan, Thrasyvoulos N. Pappas
Spatiotemporal Algorithm for Background Subtraction. ICASSP (1) (2007)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation. EUSIPCO (2007)
S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. ICIP (1) (2007)
S. Derin Babacan, Thrasyvoulos N. Pappas
Spatiotemporal algorithm for joint video segmentation and foreground detection. EUSIPCO (2006)
Hongqiang Wang, S. Derin Babacan, Khalid Sayood
Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages. DCC (2005)
S. Derin Babacan, Khalid Sayood
Predictive Image Compression Using Conditional Average. Data Compression Conference (2004)