Alexander Gepperth
Alexander Gepperth
Professor Of Computer Science, University of Applied Sciences Fulda, Germany
Verified email at - Homepage
Cited by
Cited by
Incremental learning algorithms and applications
A Gepperth, B Hammer
A bio-inspired incremental learning architecture for applied perceptual problems
A Gepperth, C Karaoguz
Cognitive Computation 8 (5), 924-934, 2016
RGBD object recognition and visual texture classification for indoor semantic mapping
D Filliat, E Battesti, S Bazeille, G Duceux, A Gepperth, L Harrath, I Jebari, ...
2012 IEEE international conference on technologies for practical robot …, 2012
Behavior prediction at multiple time-scales in inner-city scenarios
MG Ortiz, J Fritsch, F Kummert, A Gepperth
2011 IEEE Intelligent Vehicles Symposium (IV), 1068-1073, 2011
A multi-modal system for road detection and segmentation
X Hu, FSA Rodriguez, A Gepperth
2014 IEEE Intelligent Vehicles Symposium Proceedings, 1365-1370, 2014
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
B Pfülb, A Gepperth
International Conference on Learning Representations (ICLR), 2019
Real-time detection and classification of cars in video sequences
A Gepperth, J Edelbrunner, T Bucher
IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 625-631, 2005
Towards a human-like vision system for driver assistance
J Fritsch, T Michalke, A Gepperth, S Bone, F Waibel, M Kleinehagenbrock, ...
2008 IEEE intelligent vehicles symposium, 275-282, 2008
A comparison of geometric and energy-based point cloud semantic segmentation methods
M Dubois, PK Rozo, A Gepperth, OFA González, D Filliat
2013 European Conference on Mobile Robots, 88-93, 2013
Applications of multi-objective structure optimization
A Gepperth, S Roth
Neurocomputing 69 (7-9), 701-713, 2006
Marginal replay vs conditional replay for continual learning
T Lesort, A Gepperth, A Stoian, D Filliat
International Conference on Artificial Neural Networks, 466-480, 2019
Towards a human-like vision system for resource-constrained intelligent cars
T Michalke, A Gepperth, M Schneider, J Fritsch, C Goerick
International Conference on Computer Vision Systems: Proceedings (2007), 2007
Multi-objective neural network optimization for visual object detection
S Roth, A Gepperth, C Igel
Multi-Objective Machine Learning, 629-655, 2006
Biased competition in visual processing hierarchies: A learning approach using multiple cues
ART Gepperth, S Rebhan, S Hasler, J Fritsch
Cognitive computation 3 (1), 146-166, 2011
System approach for multi-purpose representations of traffic scene elements
J Schmuedderich, N Einecke, S Hasler, A Gepperth, B Bolder, R Kastner, ...
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
Real-time pedestrian detection and pose classification on a GPU
A Gepperth, MG Ortiz, B Heisele
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
Using self-organizing maps for regression: the importance of the output function
T Hecht, M Lefort, A Gepperth
23rd European Symposium on Artificial Neural Networks, Computational …, 2015
Neural network fusion of color, depth and location for object instance recognition on a mobile robot
LC Caron, D Filliat, A Gepperth
European Conference on Computer Vision, 791-805, 2014
Automatic detection of exonic splicing enhancers (ESEs) using SVMs
B Mersch, A Gepperth, S Suhai, A Hotz-Wagenblatt
BMC bioinformatics 9 (1), 1-15, 2008
A pragmatic approach to multi-class classification
T Kopinski, S Magand, U Handmann, A Gepperth
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
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