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Erhardt Barth
Erhardt Barth
Professor of Computer Science, University of Lübeck
Verified email at inb.uni-luebeck.de
Title
Cited by
Cited by
Year
Time‐of‐flight cameras in computer graphics
A Kolb, E Barth, R Koch, R Larsen
Computer Graphics Forum 29 (1), 141-159, 2010
6592010
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
4802010
Accurate eye centre localisation by means of gradients.
F Timm, E Barth
Visapp 11, 125-130, 2011
4382011
How honeybees make grazing landings on flat surfaces
MV Srinivasan, SW Zhang, JS Chahl, E Barth, S Venkatesh
Biological cybernetics 83, 171-183, 2000
2702000
Fundamental limits of linear filters in the visual processing of two-dimensional signals
C Zetzsche, E Barth
Vision research 30 (7), 1111-1117, 1990
2621990
A hybrid convolutional variational autoencoder for text generation
S Semeniuta, A Severyn, E Barth
arXiv preprint arXiv:1702.02390, 2017
2512017
Recurrent dropout without memory loss
S Semeniuta, A Severyn, E Barth
arXiv preprint arXiv:1603.05118, 2016
2342016
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
2002019
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
1292008
Explainable COVID-19 detection using chest CT scans and deep learning
H Alshazly, C Linse, E Barth, T Martinetz
Sensors 21 (2), 455, 2021
1242021
Low-level phenomenal vision despite unilateral destruction of primary visual cortex
P Stoerig, E Barth
Consciousness and cognition 10 (4), 574-587, 2001
1242001
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
1141993
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
1072015
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
102*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
892008
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
881993
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
802012
Sparse coding neural gas: learning of overcomplete data representations
K Labusch, E Barth, T Martinetz
Neurocomputing 72 (7-9), 1547-1555, 2009
762009
Analytic solutions for multiple motions
C Mota, L Stuke, E Barth
Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001
732001
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
712006
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