Stefan Harmeling

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Citations	14236	8440
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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Michael HirschMax Planck Institute for Intelligent Systems TübingenVerified email at tuebingen.mpg.de
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Christian J. SchulerAlumnus, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Harold Christopher BurgerAlumnus, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Verified email at ist.ac.at
Hannes NickischPhilips ResearchVerified email at philips.com
Tobias UelwerFraunhofer IAISVerified email at iais.fraunhofer.de
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Suvrit SraTUM and MITVerified email at mit.edu
Jakob ZscheischlerHelmholtz Centre for Environmental Research - UFZVerified email at ufz.de
Frank C. MeineckeDirector of Applied Machine Learning, TomTomVerified email at tomtom.com
Prof. Dr. med. Katrin AmuntsC.&O. Vogt Institut, Heinrich-Heine-Universität DüsseldorfVerified email at uni-duesseldorf.de
Timo DickscheidProfessor at Heinrich Heine University Düsseldorf / Researcher at Forschungszentrum JülichVerified email at fz-juelich.de
Miguel D. MahechaInstitute for Earth System Science and Remote Sensing & RSC4Earth, Leipzig UniversityVerified email at uni-leipzig.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Rolf KöhlerVerified email at enable-ai.de
Betty J. MohlerAmazonVerified email at tuebingen.mpg.de
Jan RobineTechnical University of DortmundVerified email at tu-dortmund.de

Stefan Harmeling

Professor at Technische Universität Dortmund

Verified email at tu-dortmund.de - Homepage

Machine Learning Causality Deep Learning Reinforcement Learning Programming Languages


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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	2987	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	1954	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	1631	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	1369	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	669	2015
Recording and playback of camera shake: Benchmarking blind deconvolution with a real-world database R Köhler, M Hirsch, B Mohler, B Schölkopf, S Harmeling Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	436	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	405	2011
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	376	2016
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	375	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	311	2010
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	248	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	244	2014
Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003	198	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	196	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	166	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	164	2014
Non-stationary correction of optical aberrations CJ Schuler, M Hirsch, S Harmeling, B Schölkopf 2011 International Conference on Computer Vision, 659-666, 2011	134	2011
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	132	2013
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	131	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	112	2006

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