Erhardt Barth

Dikutip oleh

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Thomas MartinetzProfessor of Computer Science, University of LübeckEmail yang diverifikasi di inb.uni-luebeck.de
Michael DorrAdaptive Sensory TechnologyEmail yang diverifikasi di tum.de
Cicero MotaUniversidade Federal do AmazonasEmail yang diverifikasi di ufam.edu.br
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyEmail yang diverifikasi di psychol.uni-giessen.de
Eleonora VigAmazonEmail yang diverifikasi di amazon.com
Fabian TimmPhD of Computer Science, Robert Bosch GmbH, Corporate ResearchEmail yang diverifikasi di de.bosch.com
Hammam AlshazlyAssociate Professor of Computer Science, South Valley UniversityEmail yang diverifikasi di sci.svu.edu.eg
Andreas KolbComputer Science, University of SiegenEmail yang diverifikasi di uni-siegen.de
Stanislau SemeniutaSamsung AI Center MoscowEmail yang diverifikasi di partner.samsung.com
Reinhard KochProfessor of Computer Science, Christian-Albrechts-University of Kiel, GermanyEmail yang diverifikasi di informatik.uni-kiel.de
Rasmus LarsenProfessor in image analysis, Technical University of DenmarkEmail yang diverifikasi di dtu.dk
Gerhard KriegerGerman Aerospace Center (DLR) & Friedrich-Alexander Universität (FAU)Email yang diverifikasi di dlr.de
Terry CaelliDeakin UniversityEmail yang diverifikasi di deakin.edu.au
Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityEmail yang diverifikasi di deakin.edu.au
Hanno ScharrForschungszentrum Jülich, IAS-8Email yang diverifikasi di fz-juelich.de
Andreas SprengerUniversity LuebeckEmail yang diverifikasi di uni-luebeck.de
Jan DrewesInstitute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, ChinaEmail yang diverifikasi di jandrewes.de
Rudolf MesterNTNU Trondheim, NorwayEmail yang diverifikasi di ntnu.no
Bernd JähneSenior Professor, Physics and Computer Science, Heidelberg UniversityEmail yang diverifikasi di iwr.uni-heidelberg.de
Bjoern MachnerUniversity of Lübeck, Dept. of NeurologyEmail yang diverifikasi di uni-luebeck.de

Ikuti

Erhardt Barth

Professor of Computer Science, University of Lübeck

Email yang diverifikasi di inb.uni-luebeck.de

Computer vision pattern recognition machine learning human vision


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Time‐of‐flight cameras in computer graphics A Kolb, E Barth, R Koch, R Larsen Computer Graphics Forum 29 (1), 141-159, 2010	740	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	576	2010
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	482	2019
Accurate eye centre localisation by means of gradients. F Timm, E Barth Visapp 11, 125-130, 2011	475	2011
A hybrid convolutional variational autoencoder for text generation S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1702.02390, 2017	308	2017
How honeybees make grazing landings on flat surfaces MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh Biological cybernetics 83, 171-183, 2000	305	2000
Recurrent dropout without memory loss S Semeniuta, A Severyn, E Barth arXiv preprint arXiv:1603.05118, 2016	297	2016
Fundamental limits of linear filters in the visual processing of two-dimensional signals C Zetzsche, E Barth Vision research 30 (7), 1111-1117, 1990	274	1990
Explainable COVID-19 detection using chest CT scans and deep learning H Alshazly, C Linse, E Barth, T Martinetz Sensors 21 (2), 455, 2021	222	2021
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	142	2015
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	133	2008
Low-level phenomenal vision despite unilateral destruction of primary visual cortex P Stoerig, E Barth Consciousness and cognition 10 (4), 574-587, 2001	131	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	121	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	107	2008
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	106*	2006
Ensembles of deep learning models and transfer learning for ear recognition H Alshazly, C Linse, E Barth, T Martinetz Sensors 19 (19), 4139, 2019	95	2019
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	94	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 (1), 651058, 2012	92	2012
Non-parametric texture defect detection using Weibull features F Timm, E Barth Image Processing: Machine Vision Applications IV 7877, 150-161, 2011	82	2011
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	79	2006

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