Erhardt Barth

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Thomas MartinetzProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
Cicero MotaUniversidade Federal do AmazonasVerified email at ufam.edu.br
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyVerified email at psychol.uni-giessen.de
Eleonora VigAmazonVerified email at amazon.com
Fabian TimmPhD of Computer Science, Robert Bosch GmbH, Corporate ResearchVerified email at de.bosch.com
Hammam AlshazlyAssistant Professor of Computer Science, South Valley UniversityVerified email at sci.svu.edu.eg
Andreas KolbComputer Science, University of SiegenVerified email at uni-siegen.de
Stanislau SemeniutaSamsung AI Center MoscowVerified email at partner.samsung.com
Reinhard KochProfessor of Computer Science, Christian-Albrechts-University of Kiel, GermanyVerified email at informatik.uni-kiel.de
Rasmus LarsenProfessor in image analysis, Technical University of DenmarkVerified email at dtu.dk
Gerhard KriegerGerman Aerospace Center (DLR) & Friedrich-Alexander Universität (FAU)Verified email at dlr.de
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
Hanno ScharrForschungszentrum Jülich, IAS-8Verified email at fz-juelich.de
Andreas SprengerUniversity LuebeckVerified email at neuro.uni-luebeck.de
Jan DrewesInstitute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, ChinaVerified email at jandrewes.de
Rudolf MesterNTNU Trondheim, NorwayVerified email at ntnu.no
Amir Madany MamloukInstitute for Neuro- and Bioinformatics, University of Luebeck, GermanyVerified email at inb.uni-luebeck.de
Bernd JähneSenior Professor, Physics and Computer Science, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de

Erhardt Barth

Professor of Computer Science, University of Lübeck

Verified email at inb.uni-luebeck.de

Computer vision pattern recognition machine learning human vision


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Time‐of‐flight cameras in computer graphics A Kolb, E Barth, R Koch, R Larsen Computer Graphics Forum 29 (1), 141-159, 2010	676	2010
Variability of eye movements when viewing dynamic natural scenes M Dorr, T Martinetz, KR Gegenfurtner, E Barth Journal of vision 10 (10), 28-28, 2010	512	2010
Accurate eye centre localisation by means of gradients. F Timm, E Barth Visapp 11, 125-130, 2011	451	2011
A multi-organ nucleus segmentation challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... IEEE transactions on medical imaging 39 (5), 1380-1391, 2019	289	2019
How honeybees make grazing landings on flat surfaces MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh Biological cybernetics 83, 171-183, 2000	279	2000
A hybrid convolutional variational autoencoder for text generation S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1702.02390, 2017	272	2017
Fundamental limits of linear filters in the visual processing of two-dimensional signals C Zetzsche, E Barth Vision research 30 (7), 1111-1117, 1990	271	1990
Recurrent dropout without memory loss S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1603.05118, 2016	262	2016
Explainable COVID-19 detection using chest CT scans and deep learning H Alshazly, C Linse, E Barth, T Martinetz Sensors 21 (2), 455, 2021	167	2021
Simple method for high-performance digit recognition based on sparse coding K Labusch, E Barth, T Martinetz IEEE Transactions on Neural Networks 19, 1985-1989, 2008	132	2008
Low-level phenomenal vision despite unilateral destruction of primary visual cortex P Stoerig, E Barth Consciousness and cognition 10 (4), 574-587, 2001	121	2001
Deep convolutional neural networks as generic feature extractors L Hertel, E Barth, T Käster, T Martinetz 2015 International Joint Conference on Neural Networks (IJCNN), 1-4, 2015	119	2015
The importance of intrinsically two-dimensional image features in biological vision and picture coding C Zetzsche, E Barth, B Wegmann Digital images and human vision, 109-138, 1993	117	1993
Analysis of superimposed oriented patterns T Aach, C Mota, I Stuke, M Muhlich, E Barth IEEE Transactions on Image Processing 15 (12), 3690-3700, 2006	103*	2006
ToF-sensors: New dimensions for realism and interactivity A Kolb, E Barth, R Koch 2008 IEEE Computer Society Conference on Computer Vision and Pattern …, 2008	95	2008
Image encoding, labeling, and reconstruction from differential geometry E Barth, T Caelli, C Zetzsche CVGIP: Graphical models and image processing 55 (6), 428-446, 1993	87	1993
Automated indirect immunofluorescence evaluation of antinuclear autoantibodies on HEp-2 cells J Voigt, C Krause, E Rohwäder, S Saschenbrecker, M Hahn, ... Journal of Immunology Research 2012, 2012	84	2012
Ensembles of deep learning models and transfer learning for ear recognition H Alshazly, C Linse, E Barth, T Martinetz Sensors 19 (19), 4139, 2019	79	2019
Remote eye tracking: State of the art and directions for future development M Bohme, A Meyer, T Martinetz, E Barth Proc. of the 2006 Conference on Communication by Gaze Interaction (COGAIN …, 2006	77	2006
Sparse coding neural gas: learning of overcomplete data representations K Labusch, E Barth, T Martinetz Neurocomputing 72 (7-9), 1547-1555, 2009	76	2009

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