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S. Derin Babacan
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2010 – 2019
- 2015
- [j18]Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan:
Condition for perfect dimensionality recovery by variational Bayesian PCA. J. Mach. Learn. Res. 16: 3757-3811 (2015) - 2014
- [j17]Martin Luessi, S. Derin Babacan, Rafael Molina
, James R. Booth, Aggelos K. Katsaggelos
Variational Bayesian causal connectivity analysis for fMRI. Frontiers Neuroinformatics 8: 45 (2014) - [j16]Zhaofu Chen, S. Derin Babacan, Rafael Molina
Variational Bayesian Methods For Multimedia Problems. IEEE Trans. Multim. 16(4): 1000-1017 (2014) - [j15]S. Derin Babacan, Shinichi Nakajima, Minh N. Do
Bayesian Group-Sparse Modeling and Variational Inference. IEEE Trans. Signal Process. 62(11): 2906-2921 (2014) - 2013
- [j14]Salvador Villena, Miguel Vega
Bayesian combination of sparse and non-sparse priors in image super resolution. Digit. Signal Process. 23(2): 530-541 (2013) - [j13]Miguel Tallon, Javier Mateos
Space-variant blur deconvolution and denoising in the dual exposure problem. Inf. Fusion 14(4): 396-409 (2013) - [j12]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): 1-37 (2013) - [j11]Shinichi Nakajima, Masashi Sugiyama
Variational Bayesian sparse additive matrix factorization. Mach. Learn. 92(2-3): 319-347 (2013) - [j10]Martin Luessi, S. Derin Babacan, Rafael Molina
Bayesian Simultaneous Sparse Approximation With Smooth Signals. IEEE Trans. Signal Process. 61(22): 5716-5729 (2013) - [c41]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: 1439-1447 - 2012
- [j9]S. Derin Babacan, Reto Ansorge, Martin Luessi, Pablo Ruiz Matarán
Compressive Light Field Sensing. IEEE Trans. Image Process. 21(12): 4746-4757 (2012) - [j8]S. Derin Babacan, Martin Luessi, Rafael Molina
Sparse Bayesian Methods for Low-Rank Matrix Estimation. IEEE Trans. Signal Process. 60(8): 3964-3977 (2012) - [c40]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: 82960Z - [c39]S. Derin Babacan, Rafael Molina
Bayesian Blind Deconvolution with General Sparse Image Priors. ECCV (6) 2012: 341-355 - [c38]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: 245-249 - [c37]S. Derin Babacan, Fan Lam, Xi Peng
Interventional MRI with sparse sampling using union-of-subspaces. ISBI 2012: 314-317 - [c36]Anthony G. Christodoulou
Accelerating cardiovascular imaging by exploiting regional low-rank structure via group sparsity. ISBI 2012: 330-333 - [c35]Fan Lam, S. Derin Babacan, Justin P. Haldar
Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints. ISBI 2012: 1401-1404 - [c34]Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan:
Perfect Dimensionality Recovery by Variational Bayesian PCA. NIPS 2012: 980-988 - [c33]S. Derin Babacan, Shinichi Nakajima, Minh N. Do:
Probabilistic Low-Rank Subspace Clustering. NIPS 2012: 2753-2761 - [c32]Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan:
Sparse Additive Matrix Factorization for Robust PCA and Its Generalization. ACML 2012: 301-316 - 2011
- [j7]Martin Luessi, S. Derin Babacan, Rafael Molina
Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors. NeuroImage 55(1): 113-132 (2011) - [j6]S. Derin Babacan, Rafael Molina
Variational Bayesian Super Resolution. IEEE Trans. Image Process. 20(4): 984-999 (2011) - [c31]S. Derin Babacan, Xi Peng
Reference-guided sparsifying transform design for compressive sensing MRI. EMBC 2011: 5718-5721 - [c30]Miguel Tallon, Javier Mateos, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Space-variant kernel deconvolution for dual exposure problem. EUSIPCO 2011: 1678-1682 - [c29]S. Derin Babacan, Martin Luessi, Rafael Molina
Low-rank matrix completion by variational sparse Bayesian learning. ICASSP 2011: 2188-2191 - [c28]S. Derin Babacan, Martin Luessi, Leonidas Spinoulas, Aggelos K. Katsaggelos
Compressive passive millimeter-wave imaging. ICIP 2011: 2705-2708 - [c27]Pablo Ruiz
Video retrieval using sparse Bayesian reconstruction. ICME 2011: 1-6 - [c26]Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan:
On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution. ICML 2011: 497-504 - [c25]Pablo Ruiz, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Retrieval of video clips with missing frames using sparse Bayesian reconstruction. ISPA 2011: 443-448 - [c24]Xi Peng
Reference-driven MR image reconstruction with sparsity and support constraints. ISBI 2011: 89-92 - [c23]Shinichi Nakajima, Masashi Sugiyama, S. Derin Babacan:
Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent. NIPS 2011: 208-216 - 2010
- [j5]S. Derin Babacan, Rafael Molina
Bayesian Compressive Sensing Using Laplace Priors. IEEE Trans. Image Process. 19(1): 53-63 (2010) - [j4]S. Derin Babacan, Jingnan Wang, Rafael Molina
Bayesian Blind Deconvolution From Differently Exposed Image Pairs. IEEE Trans. Image Process. 19(11): 2874-2888 (2010) - [c22]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: 323-327 - [c21]Bruno Amizic, S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Sparse Bayesian blind image deconvolution with parameter estimation. EUSIPCO 2010: 626-630 - [c20]Martin Luessi, S. Derin Babacan, Rafael Molina
Symmetrical EEG/FMRI fusion with spatially adaptive priors using variational distribution approximation. ICASSP 2010: 638-641 - [c19]Bruno Amizic, S. Derin Babacan, Michael K. Ng
Fast total variation image restoration with parameter estimation using bayesian inference. ICASSP 2010: 770-773 - [c18]Salvador Villena, Miguel Vega
Using the Kullback-Leibler divergence to combine image priors in Super-Resolution image reconstruction. ICIP 2010: 893-896 - [c17]S. Derin Babacan, Rafael Molina
Sparse Bayesian image restoration. ICIP 2010: 3577-3580
2000 – 2009
- 2009
- [j3]S. Derin Babacan, Rafael Molina
Variational Bayesian Blind Deconvolution Using a Total Variation Prior. IEEE Trans. Image Process. 18(1): 12-26 (2009) - [c16]S. Derin Babacan, Luis Mancera, Rafael Molina, Aggelos K. Katsaggelos:
Non-convex priors in Bayesian compressed sensing. EUSIPCO 2009: 110-114 - [c15]S. Derin Babacan, Rafael Molina
Fast bayesian compressive sensing using Laplace priors. ICASSP 2009: 2873-2876 - [c14]S. Derin Babacan, Jingnan Wang, Rafael Molina
Bayesian blind deconvolution from differently exposed image pairs. ICIP 2009: 133-136 - [c13]S. Derin Babacan, Reto Ansorge, Martin Luessi, Rafael Molina
Compressive sensing of light fields. ICIP 2009: 2337-2340 - [c12]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: 2797-2800 - [c11]Luis Mancera, S. Derin Babacan, Rafael Molina
Image restoration by mixture modelling of an overcomplete linear representation. ICIP 2009: 3949-3952 - 2008
- [j2]S. Derin Babacan, Rafael Molina
Parameter Estimation in TV Image Restoration Using Variational Distribution Approximation. IEEE Trans. Image Process. 17(3): 326-339 (2008) - [c10]S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Parameter estimation in total variation blind deconvolution. EUSIPCO 2008: 1-5 - [c9]S. Derin Babacan, Rafael Molina
Generalized Gaussian Markov random field image restoration using variational distribution approximation. ICASSP 2008: 1265-1268 - [c8]S. Derin Babacan, Rafael Molina
Total variation super resolution using a variational approach. ICIP 2008: 641-644 - [c7]S. Derin Babacan, Xiaoming Yin, Andrew C. Larson, Aggelos K. Katsaggelos
Combination of MR surface coil images using weighted constrained least squares. ICIP 2008: 2236-2239 - 2007
- [j1]Hongqiang Wang, S. Derin Babacan, Khalid Sayood:
Lossless Hyperspectral-Image Compression Using Context-Based Conditional Average. IEEE Trans. Geosci. Remote. Sens. 45(12-2): 4187-4193 (2007) - [c6]S. Derin Babacan, Rafael Molina, Aggelos K. Katsaggelos:
Total variation blind deconvolution using a variational approach to parameter, image, and blur estimation. EUSIPCO 2007: 2164-2168 - [c5]S. Derin Babacan, Thrasyvoulos N. Pappas
Spatiotemporal Algorithm for Background Subtraction. ICASSP (1) 2007: 1065-1068 - [c4]S. Derin Babacan, Rafael Molina
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation. ICIP (1) 2007: 97-100 - 2006
- [c3]S. Derin Babacan, Thrasyvoulos N. Pappas:
Spatiotemporal algorithm for joint video segmentation and foreground detection. EUSIPCO 2006: 1-5 - 2005
- [c2]Hongqiang Wang, S. Derin Babacan, Khalid Sayood:
Lossless Hyperspectral Image Compression Using Context-Based Conditional Averages. DCC 2005: 418-426 - 2004
- [c1]S. Derin Babacan, Khalid Sayood:
Predictive Image Compression Using Conditional Average. Data Compression Conference 2004: 524
Coauthor Index
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