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Christian J. Schuler
Christian J. Schuler
Alumnus, Max Planck Institute for Intelligent Systems
Geverifieerd e-mailadres voor tuebingen.mpg.de
Titel
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Jaar
Image denoising: Can plain neural networks compete with BM3D?
HC Burger, CJ Schuler, S Harmeling
2012 IEEE conference on computer vision and pattern recognition, 2392-2399, 2012
15882012
Entropy search for information-efficient global optimization.
P Hennig, CJ Schuler
Journal of Machine Learning Research 13 (6), 2012
8082012
Learning to deblur
CJ Schuler, M Hirsch, S Harmeling, B Schölkopf
IEEE transactions on pattern analysis and machine intelligence 38 (7), 1439-1451, 2015
6492015
Fast removal of non-uniform camera shake
M Hirsch, CJ Schuler, S Harmeling, B Schölkopf
2011 International Conference on Computer Vision, 463-470, 2011
4042011
A machine learning approach for non-blind image deconvolution
CJ Schuler, HC Burger, S Harmeling, B Schölkopf
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013
3622013
Mask-specific inpainting with deep neural networks
R Köhler, C Schuler, B Schölkopf, S Harmeling
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
1622014
Non-stationary correction of optical aberrations
CJ Schuler, M Hirsch, S Harmeling, B Schölkopf
2011 International Conference on Computer Vision, 659-666, 2011
1292011
Learning how to combine internal and external denoising methods
HC Burger, C Schuler, S Harmeling
Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013
862013
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
HC Burger, CJ Schuler, S Harmeling
arXiv preprint arXiv:1211.1544, 2012
802012
Blind correction of optical aberrations
CJ Schuler, M Hirsch, S Harmeling, B Schölkopf
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
612012
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
HC Burger, CJ Schuler, S Harmeling
arXiv preprint arXiv:1211.1552, 2012
342012
Method and device for recovering a digital image from a sequence of observed digital images
S Harmeling, M Hirsch, S Sra, B Schölkopf, CJ Schuler
US Patent 10,032,254, 2018
312018
Thermal emission from finite photonic crystals
CJ Schuler, C Wolff, K Busch, M Florescu
Applied Physics Letters 95 (24), 2009
252009
Retrospective motion correction of magnitude-input MR images
A Loktyushin, C Schuler, K Scheffler, B Schölkopf
Machine Learning Meets Medical Imaging: First International Workshop, MLMMI …, 2015
112015
Determining computing device characteristics from computer network activity
A Asuncion, JC Schuler, GS Corrado, K Chen, Y Sheng
US Patent 9,372,914, 2016
32016
Machine learning approaches to image deconvolution
C Schuler
Universität Tübingen, 2017
12017
Probabilistic Progress Bars
M Kiefel, C Schuler, P Hennig
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
12014
Information-Greedy Global Optimisation
P Hennig, CJ Schuler
NIPS 2011 Workshop on Bayesian Optimization, Experimental Design and Bandits, 2011
2011
Efficient space-variant blind deconvolution
S Harmeling
NIPS 2010 Workshop on Numerical Mathematics Challenges in Machine Learning …, 2010
2010
Thermal emission from finite photonic crystals
CJ Schuler, C Wolff, K Busch, M Florescu
Active Photonic Materials III 7756, 50-60, 2010
2010
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Artikelen 1–20