Stefan Harmeling

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified 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 Brain & MPIIVerified 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 NickischSenior Scientist at Philips ResearchVerified email at philips.com
Suvrit SraMITVerified email at mit.edu
Andreas ZiehePostdoc researcher, TU BerlinVerified email at cs.tu-berlin.de
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
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryVerified email at bgc-jena.mpg.de
Tobias UelwerTechnische Universität DortmundVerified email at tu-dortmund.de
Rolf KöhlerVerified email at enable-ai.de
Heiko SchüttPostDoc, NYU-CNS & Columbia-ZIVerified email at nyu.edu
Felix WichmannEberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Prof. Dr. med. Katrin AmuntsC.&O. Vogt Institut, Heinrich-Heine-Universität DüsseldorfVerified email at uni-duesseldorf.de
Timo DickscheidForschungszentrum JülichVerified email at fz-juelich.de
Betty J. MohlerAmazonVerified email at tuebingen.mpg.de

Stefan Harmeling

Professor at Technische Universität Dortmund

Verified email at tu-dortmund.de - Homepage

Machine Learning Causality Deep Learning Programming Languages


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2345	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	1445	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	1299	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	870	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	458	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 European conference on computer vision, 27-40, 2012	383	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	350	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	296	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	251	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	229	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	227	2010
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	182	2012
Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003	180	2003
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	163	2014
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	143	2010
Mask-specific inpainting with deep neural networks R Köhler, C Schuler, B Schölkopf, S Harmeling German conference on pattern recognition, 523-534, 2014	123	2014
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	115	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	106	2006
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	105	2003
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	103	2013

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