Stefan Harmeling
Cited by
Cited by
Learning to detect unseen object classes by between-class attribute transfer
CH Lampert, H Nickisch, S Harmeling
2009 IEEE Conference on Computer Vision and Pattern Recognition, 951-958, 2009
Attribute-based classification for zero-shot visual object categorization
CH Lampert, H Nickisch, S Harmeling
IEEE transactions on pattern analysis and machine intelligence 36 (3), 453-465, 2013
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
How to explain individual classification decisions
D Baehrens, T Schroeter, S Harmeling, M Kawanabe, K Hansen, ...
The Journal of Machine Learning Research 11, 1803-1831, 2010
Learning to deblur
CJ Schuler, M Hirsch, S Harmeling, B Schölkopf
IEEE transactions on pattern analysis and machine intelligence 38 (7), 1439-1451, 2015
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database.
R Köhler, M Hirsch, BJ Mohler, B Schölkopf, S Harmeling
ECCV (7), 27-40, 2012
Fast removal of non-uniform camera shake
M Hirsch, CJ Schuler, S Harmeling, B Schölkopf
2011 International Conference on Computer Vision, 463-470, 2011
A machine learning approach for non-blind image deconvolution
CJ Schuler, H Christopher Burger, S Harmeling, B Scholkopf
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Efficient filter flow for space-variant multiframe blind deconvolution
M Hirsch, S Sra, B Schölkopf, S Harmeling
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data
HH Schütt, S Harmeling, JH Macke, FA Wichmann
Vision research 122, 105-123, 2016
Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing
S Bridle, ST Balan, M Bethge, M Gentile, S Harmeling, C Heymans, ...
Monthly Notices of the Royal Astronomical Society 405 (3), 2044-2061, 2010
A few extreme events dominate global interannual variability in gross primary production
J Zscheischler, MD Mahecha, J Von Buttlar, S Harmeling, M Jung, ...
Environmental Research Letters 9 (3), 035001, 2014
Kernel-based nonlinear blind source separation
S Harmeling, A Ziehe, M Kawanabe, KR Müller
Neural Computation 15 (5), 1089-1124, 2003
Image analysis for cosmology: results from the GREAT10 Galaxy Challenge
TD Kitching, ST Balan, S Bridle, N Cantale, F Courbin, T Eifler, M Gentile, ...
Monthly Notices of the Royal Astronomical Society 423 (4), 3163-3208, 2012
Space-variant single-image blind deconvolution for removing camera shake
S Harmeling, H Michael, B Schölkopf
Advances in Neural Information Processing Systems 23, 829-837, 2010
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
From outliers to prototypes: ordering data
S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller
Neurocomputing 69 (13-15), 1608-1618, 2006
Probabilistic inference for solving (PO) MDPs
M Toussaint, S Harmeling, A Storkey
Technical Report EDI-INF-RR-0934, School of Informatics, University of Edinburgh, 2006
Detection and attribution of large spatiotemporal extreme events in Earth observation data
J Zscheischler, MD Mahecha, S Harmeling, M Reichstein
Ecological Informatics 15, 66-73, 2013
Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation
A Ziehe, M Kawanabe, S Harmeling, KR Müller
The Journal of Machine Learning Research 4, 1319-1338, 2003
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