S. Derin Babacan

59 papers A* 1A 1B 11C 2Misc 5Journal 18Unranked 21

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