Stefan Harmeling

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	Toutes	Depuis 2015
Citations	8273	6286
indice h	35	28
indice i10	54	42

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Coauteurs

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de
Michael HirschMax Planck Institute for Intelligent Systems TübingenAdresse e-mail validée de tuebingen.mpg.de
Christian J. SchulerAlumnus, Max Planck Institute for Intelligent SystemsAdresse e-mail validée de tuebingen.mpg.de
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Adresse e-mail validée de tu-berlin.de
Harold Christopher BurgerAlumnus, Max Planck Institute for Intelligent SystemsAdresse e-mail validée de tuebingen.mpg.de
Motoaki KawanabeSenior Researcher, Advanced Telecommunications Research Institute InternationalAdresse e-mail validée de atr.jp
Christoph H. LampertProfessor at IST AustriaAdresse e-mail validée de ist.ac.at
Hannes NickischSenior Scientist at Philips ResearchAdresse e-mail validée de philips.com
Suvrit SraMITAdresse e-mail validée de mit.edu
Andreas ZiehePostdoc researcher, TU BerlinAdresse e-mail validée de cs.tu-berlin.de
Jakob ZscheischlerClimate and Environmental Physics, University of BernAdresse e-mail validée de climate.unibe.ch
Frank C. MeineckeResearch Associate, TU BerlinAdresse e-mail validée de tu-berlin.de
Miguel D. MahechaLeipzig University, Remote Sensing Centre for Earth System ResearchAdresse e-mail validée de uni-leipzig.de
Markus ReichsteinDepartment of Biogeochemical Integration, Max-Planck-Institute for BiogeochemistryAdresse e-mail validée de bgc-jena.mpg.de
Rolf KöhlerAdresse e-mail validée de enable-ai.de
Betty J. MohlerAmazonAdresse e-mail validée de tuebingen.mpg.de
Heiko SchüttPostDoc, NYU-CNS & Columbia-ZIAdresse e-mail validée de nyu.edu
Felix WichmannEberhard Karls Universität TübingenAdresse e-mail validée de uni-tuebingen.de
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyAdresse e-mail validée de informatik.uni-stuttgart.de
Anja RammigLand Surface-Atmosphere Interactions, Technical University of MunichAdresse e-mail validée de tum.de

Stefan Harmeling

Professor at Heinrich-Heine-Universität Düsseldorf

Adresse e-mail validée de hhu.de - Page d'accueil

Machine Learning Causality Deep Learning Programming Languages


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1827	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	1029	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	961	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	577	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	317	2015
Fast removal of non-uniform camera shake M Hirsch, CJ Schuler, S Harmeling, B Schölkopf 2011 International Conference on Computer Vision, 463-470, 2011	285	2011
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	281	2012
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	224	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	208	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	206	2010
Kernel-based nonlinear blind source separation S Harmeling, A Ziehe, M Kawanabe, KR Müller Neural Computation 15 (5), 1089-1124, 2003	169	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	165	2012
Space-variant single-image blind deconvolution for removing camera shake S Harmeling, H Michael, B Schölkopf Advances in Neural Information Processing Systems, 829-837, 2010	127	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	125	2016
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	114	2014
From outliers to prototypes: ordering data S Harmeling, G Dornhege, D Tax, F Meinecke, KR Müller Neurocomputing 69 (13-15), 1608-1618, 2006	108	2006
Blind separation of post-nonlinear mixtures using linearizing transformations and temporal decorrelation A Ziehe, M Kawanabe, S Harmeling, KR MÃžller Journal of Machine Learning Research 4 (Dec), 1319-1338, 2003	98	2003
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	93	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	83	2013
Learning how to combine internal and external denoising methods HC Burger, C Schuler, S Harmeling German Conference on Pattern Recognition, 121-130, 2013	80	2013

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