Stefan Harmeling

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Citations	13028	8383
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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
Christian J. SchulerAlumnus, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Klaus-Robert MüllerTU Berlin & Korea University & Google Deepmind & Max Planck Institute for Informatics, GermanyVerified email at tu-berlin.de
Harold Christopher BurgerAlumnus, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalVerified email at atr.jp
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Verified email at ist.ac.at
Hannes NickischPhilips ResearchVerified email at philips.com
Tobias UelwerTechnische Universität DortmundVerified email at tu-dortmund.de
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
Suvrit SraTU Munich / MITVerified email at mit.edu
Jakob ZscheischlerHelmholtz Centre for Environmental Research - UFZVerified email at ufz.de
Miguel D. MahechaLeipzig University, Remote Sensing Centre for Earth System ResearchVerified email at uni-leipzig.de
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
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Rolf KöhlerVerified email at enable-ai.de
Frank C. MeineckeDirector of Applied Machine Learning, TomTomVerified email at tomtom.com
Heiko SchüttAssociate Professor, University of LuxembourgVerified email at uni.lu
Felix WichmannEberhard Karls Universität TübingenVerified email at uni-tuebingen.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	2760	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	1769	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	1539	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	1194	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	610	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	476	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	394	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	349	2013
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	312	2016
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	297	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	233	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	218	2014
Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003	192	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	188	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	159	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	154	2014
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	123	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	117	2013
Non-stationary correction of optical aberrations CJ Schuler, M Hirsch, S Harmeling, B Schölkopf 2011 International Conference on Computer Vision, 659-666, 2011	117	2011
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	111	2006

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