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ORCIDStefan Harmeling
- > Home > Persons > Stefan Harmeling
Publications
- 2020
[c29]Felix Dangel, Stefan Harmeling, Philipp Hennig:
Modular Block-diagonal Curvature Approximations for Feedforward Architectures. AISTATS 2020: 799-808- 2016
- [j13]Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf:
Learning to Deblur. IEEE Trans. Pattern Anal. Mach. Intell. 38(7): 1439-1451 (2016) - 2015
- [j12]Bernhard Schölkopf, Krikamol Muandet
, Kenji Fukumizu, Stefan Harmeling, Jonas Peters:
Computing functions of random variables via reproducing kernel Hilbert space representations. Stat. Comput. 25(4): 755-766 (2015) - 2014
- [j11]Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling:
Attribute-Based Classification for Zero-Shot Visual Object Categorization. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 453-465 (2014) - [c23]Rolf Köhler, Christian J. Schuler, Bernhard Schölkopf, Stefan Harmeling:
Mask-Specific Inpainting with Deep Neural Networks. GCPR 2014: 523-534 - [i4]Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf:
Learning to Deblur. CoRR abs/1406.7444 (2014) - 2013
- [j10]Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling, Markus Reichstein:
Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol. Informatics 15: 66-73 (2013) - [c22]Christian J. Schuler, Harold Christopher Burger, Stefan Harmeling, Bernhard Schölkopf:
A Machine Learning Approach for Non-blind Image Deconvolution. CVPR 2013: 1067-1074 - [c21]Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf:
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit. CVPR 2013: 1083-1090 - [c20]Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling:
Learning How to Combine Internal and External Denoising Methods. GCPR 2013: 121-130 - [c19]Rolf Köhler, Michael Hirsch, Bernhard Schölkopf, Stefan Harmeling:
Improving alpha matting and motion blurred foreground estimation. ICIP 2013: 3446-3450 - [c18]Moritz Grosse-Wentrup, Stefan Harmeling, Thorsten O. Zander, N. Jeremy Hill, Bernhard Schölkopf:
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data. PRNI 2013: 102-105 - 2012
- [c17]Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling:
Image denoising: Can plain neural networks compete with BM3D? CVPR 2012: 2392-2399 - [c16]Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling:
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. ECCV (7) 2012: 27-40 - [c15]Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf:
Blind Correction of Optical Aberrations. ECCV (3) 2012: 187-200 - [c14]Jakob Zscheischler, Miguel D. Mahecha, Stefan Harmeling:
Climate Classifications: the Value of Unsupervised Clustering. ICCS 2012: 897-906 - [i3]Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling:
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds. CoRR abs/1211.1544 (2012) - [i2]Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling:
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms. CoRR abs/1211.1552 (2012) - 2011
- [j9]Stefan Harmeling, Christopher K. I. Williams:
Greedy Learning of Binary Latent Trees. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1087-1097 (2011) - [c13]Harold Christopher Burger, Stefan Harmeling:
Improving Denoising Algorithms via a Multi-scale Meta-procedure. DAGM-Symposium 2011: 206-215 - [c12]Harold Christopher Burger, Bernhard Schölkopf, Stefan Harmeling:
Removing noise from astronomical images using a pixel-specific noise model. ICCP 2011: 1-8 - [c11]Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf:
Fast removal of non-uniform camera shake. ICCV 2011: 463-470 - [c10]Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf:
Non-stationary correction of optical aberrations. ICCV 2011: 659-666 - [c9]Alexander Loktyushin, Stefan Harmeling:
Automatic foreground-background refocusing. ICIP 2011: 3445-3448 - 2010
- [j8]David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller:
How to Explain Individual Classification Decisions. J. Mach. Learn. Res. 11: 1803-1831 (2010) - [c8]Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling:
Efficient filter flow for space-variant multiframe blind deconvolution. CVPR 2010: 607-614 - [c7]Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf:
Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. ICIP 2010: 3313-3316 - [c6]Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf:
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. NIPS 2010: 829-837 - 2009
- [c5]Christoph H. Lampert, Hannes Nickisch, Stefan Harmeling:
Learning to detect unseen object classes by between-class attribute transfer. CVPR 2009: 951-958 - [i1]David Baehrens, Timon Schroeter, Stefan Harmeling, Motoaki Kawanabe, Katja Hansen, Klaus-Robert Müller:
How to Explain Individual Classification Decisions. CoRR abs/0912.1128 (2009) - 2006
- [j6]Stefan Harmeling, Guido Dornhege, David M. J. Tax, Frank C. Meinecke, Klaus-Robert Müller:
From outliers to prototypes: Ordering data. Neurocomputing 69(13-15): 1608-1618 (2006) - 2005
- [j5]Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller:
Inlier-based ICA with an application to superimposed images. Int. J. Imaging Syst. Technol. 15(1): 48-55 (2005) - 2004
- [j3]Stefan Harmeling, Frank C. Meinecke, Klaus-Robert Müller:
Injecting noise for analysing the stability of ICA components. Signal Process. 84(2): 255-266 (2004) - [c3]Frank C. Meinecke, Stefan Harmeling, Klaus-Robert Müller:
Robust ICA for Super-Gaussian Sources. ICA 2004: 217-224 - 2003
- [j2]Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling, Klaus-Robert Müller:
Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation. J. Mach. Learn. Res. 4: 1319-1338 (2003) - [j1]Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
Kernel-Based Nonlinear Blind Source Separation. Neural Comput. 15(5): 1089-1124 (2003) - 2001
- [c1]Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller:
Kernel Feature Spaces and Nonlinear Blind Souce Separation. NIPS 2001: 761-768
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