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
Andreas KolbComputer Science, University of SiegenVerified email at uni-siegen.de
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
Hammam AlshazlyAssistant Professor of Computer Science, South Valley UniversityVerified email at sci.svu.edu.eg
Stanislau SemeniutaSamsung AI Center MoscowVerified email at partner.samsung.com
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
Gerhard KriegerGerman Aerospace Center (DLR), Microwaves and Radar InstituteVerified email at dlr.de
Svetha VenkateshProfessor of Computer Science, Deakin UniversityVerified email at deakin.edu.au
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
Hanno ScharrForschungszentrum JülichVerified email at fz-juelich.de
Bjoern MachnerUniversity of Lübeck, Dept. of NeurologyVerified email at uni-luebeck.de
Rudolf MesterNTNU Trondheim, NorwayVerified email at ntnu.no
Andrew WatsonChief Vision Scientist, AppleVerified email at apple.com

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	644	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	464	2010
Accurate eye centre localisation by means of gradients. F Timm, E Barth Visapp 11, 125-130, 2011	424	2011
How honeybees make grazing landings on flat surfaces MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh Biological cybernetics 83 (3), 171-183, 2000	263	2000
Fundamental limits of linear filters in the visual processing of two-dimensional signals C Zetzsche, E Barth Vision research 30 (7), 1111-1117, 1990	260	1990
A hybrid convolutional variational autoencoder for text generation S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1702.02390, 2017	236	2017
Recurrent dropout without memory loss S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1603.05118, 2016	221	2016
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	140	2019
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	126	2008
Low-level phenomenal vision despite unilateral destruction of primary visual cortex P Stoerig, E Barth Consciousness and cognition 10 (4), 574-587, 2001	124	2001
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	114	1993
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	101	2015
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	99*	2006
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	90	1993
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	89	2008
Explainable COVID-19 detection using chest CT scans and deep learning H Alshazly, C Linse, E Barth, T Martinetz Sensors 21 (2), 455, 2021	86	2021
Automated indirect immunofluorescence evaluation of antinuclear autoantibodies on HEp-2 cells J Voigt, C Krause, E Rohwäder, S Saschenbrecker, M Hahn, ... Clinical and Developmental Immunology 2012, 2012	77	2012
Sparse coding neural gas: learning of overcomplete data representations K Labusch, E Barth, T Martinetz Neurocomputing 72 (7-9), 1547-1555, 2009	77	2009
Analytic solutions for multiple motions C Mota, L Stuke, E Barth Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001	73	2001
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	70	2006

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