S. Derin Babacan

发表

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2011, NeuroImage.

Total variation super resolution using a variational approach

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 15th IEEE International Conference on Image Processing.

Probabilistic Low-Rank Subspace Clustering

Shinichi Nakajima, Minh N. Do, S. Derin Babacan, 2012, NIPS.

Space-variant blur deconvolution and denoising in the dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2013, Inf. Fusion.

Variational Bayesian causal connectivity analysis for fMRI

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2014, Front. Neuroinform..

Fast total variation image restoration with parameter estimation using bayesian inference

Aggelos K. Katsaggelos, Michael K. Ng, Rafael Molina, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Image restoration by mixture modelling of an overcomplete linear representation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Global Solvers for Variational Bayesian Low-rank Subspace Clustering (情報論的学習理論と機械学習)

竹内一郎, S. Derin Babacan, S. D. Babacan, 2013 .

Bayesian blind deconvolution from differently exposed image pairs

Aggelos K. Katsaggelos, Rafael Molina, Jingnan Wang, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Bayesian spatially adaptive EEG/fMRI fusion with application to a word rhyming task

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2010 .

Variational Bayesian sparse additive matrix factorization

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, 2013, Machine Learning.

Variational bayesian super-resolution reconstruction

Aggelos K. Katsaggelos, S. Derin Babacan, Rafael Molina, 2017 .

Registration and integration of multiple depth images using signed distance function

Minh N. Do, S. Derin Babacan, Daniel B. Kubacki, 2012, Electronic Imaging.

Sparse Bayesian image restoration

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, 2010 IEEE International Conference on Image Processing.

Variational Bayesian Blind Deconvolution Using a Total Variation Prior

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, IEEE Transactions on Image Processing.

Perfect Dimensionality Recovery by Variational Bayesian PCA

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2012, NIPS.

Generalized Gaussian Markov random field image restoration using variational distribution approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bayesian Group-Sparse Modeling and Variational Inference

Shinichi Nakajima, Minh N. Do, S. Derin Babacan, 2014, IEEE Transactions on Signal Processing.

Blind Image Deconvolution: Problem formulation and existing approaches

Rafael Molina, Tony F. Chan, Tom E. Bishop, 2007 .

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior

Nikolas P. Galatsanos, Aggelos K. Katsaggelos, S. Derin Babacan, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Condition for perfect dimensionality recovery by variational Bayesian PCA

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2015, J. Mach. Learn. Res..

Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity

Zhi-Pei Liang, S. Derin Babacan, Anthony G. Christodoulou, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Reference-driven MR image reconstruction with sparsity and support constraints

Huiqian Du, Zhi-Pei Liang, Xi Peng, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering

Shinichi Nakajima, Akiko Takeda, Masashi Sugiyama, 2013, NIPS.

Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation

Aggelos K. Katsaggelos, Martin Luessi, James R. Booth, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Low-rank matrix completion by variational sparse Bayesian learning

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, 2011, ICML.

Bayesian combination of sparse and non-sparse priors in image super resolution

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2013, Digit. Signal Process..

Retrieval of video clips with missing frames using sparse Bayesian reconstruction

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2011, 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA).

Bayesian Compressive Sensing Using Laplace Priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2010, IEEE Transactions on Image Processing.

Spatiotemporal Algorithm for Background Subtraction

Thrasyvoulos N. Pappas, S. Derin Babacan, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Conference on Image Processing.

Spatiotemporal algorithm for joint video segmentation and foreground detection

Thrasyvoulos N. Pappas, S. Derin Babacan, 2006, 2006 14th European Signal Processing Conference.

Compressive passive millimeter-wave imaging

Aggelos K. Katsaggelos, Martin Luessi, Shaolin Liao, 2011, 2011 18th IEEE International Conference on Image Processing.

Reference-guided sparsifying transform design for compressive sensing MRI

Minh N. Do, Zhi-Pei Liang, Xi Peng, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Upsampling and denoising of depth maps via joint-segmentation

Aggelos K. Katsaggelos, Minh N. Do, Rafael Molina, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Interventional MRI with sparse sampling using union-of-subspaces

Minh N. Do, Zhi-Pei Liang, Xi Peng, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2007, 2007 IEEE International Conference on Image Processing.

Combination of MR surface coil images using weighted constrained least squares

Aggelos K. Katsaggelos, S. Derin Babacan, Andrew C. Larson, 2008, 2008 15th IEEE International Conference on Image Processing.

Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, 2011, NIPS.

Bayesian Simultaneous Sparse Approximation With Smooth Signals

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2013, IEEE Transactions on Signal Processing.

Vaguelette-wavelet decomposition for directionally adaptive image restoration

Aggelos K. Katsaggelos, Joonki Paik, Wonseok Kang, 2011 .

Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, IEEE Transactions on Image Processing.

Lossless hyperspectral image compression using context-based conditional averages

Khalid Sayood, Hongqiang Wang, S. Derin Babacan, 2005, Data Compression Conference.

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization

Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan, 2012, ACML.

Video retrieval using sparse Bayesian reconstruction

Aggelos K. Katsaggelos, Zhu Li, Pablo Ruiz, 2011, 2011 IEEE International Conference on Multimedia and Expo.

Global analytic solution of fully-observed variational Bayesian matrix factorization

Shinichi Nakajima, Masashi Sugiyama, Ryota Tomioka, 2013, J. Mach. Learn. Res..

Non-convex priors in Bayesian compressed sensing

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 17th European Signal Processing Conference.

Variational Bayesian Super Resolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2011, IEEE Transactions on Image Processing.

Fast bayesian compressive sensing using Laplace priors

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sparse Bayesian Methods for Low-Rank Matrix Estimation

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2011, IEEE Transactions on Signal Processing.

Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation

Aggelos K. Katsaggelos, S. Derin Babacan, Rafael Molina, 2006, IEEE Transactions on Image Processing.

Bayesian Blind Deconvolution with General Sparse Image Priors

Aggelos K. Katsaggelos, Minh N. Do, Rafael Molina, 2012, ECCV.

Combining observation models in dual exposure problems using the Kullback-Leibler divergence

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2010, 2010 18th European Signal Processing Conference.

Parameter estimation in total variation blind deconvolution

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2008, 2008 16th European Signal Processing Conference.

Space-variant kernel deconvolution for dual exposure problem

Aggelos K. Katsaggelos, Rafael Molina, Javier Mateos, 2011, 2011 19th European Signal Processing Conference.

Compressive Light Field Sensing

Aggelos K. Katsaggelos, Martin Luessi, Rafael Molina, 2012, IEEE Transactions on Image Processing.

Variational Bayesian Methods For Multimedia Problems

Aggelos K. Katsaggelos, Rafael Molina, S. Derin Babacan, 2014, IEEE Transactions on Multimedia.

Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints

Norbert Schuff, Justin P. Haldar, Zhi-Pei Liang, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Visualizing Escherichia coli Sub-Cellular Structure Using Sparse Deconvolution Spatial Light Interference Tomography

Minh N. Do, Gabriel Popescu, S. Derin Babacan, 2012, PloS one.

Image prior combination in super-resolution image registration & reconstruction

Aggelos K. Katsaggelos, Rafael Molina, Salvador Villena, 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

Iterative Image Restoration

Aggelos K. Katsaggelos, S. Derin Babacan, S. D. Babacan, 2009 .