| Incremental learning algorithms and applications A Gepperth, B Hammer | 167 | 2016 |
| A bio-inspired incremental learning architecture for applied perceptual problems A Gepperth, C Karaoguz Cognitive Computation 8 (5), 924-934, 2016 | 99 | 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 | 60 | 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 | 47 | 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 | 43 | 2014 |
| 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 | 42 | 2008 |
| 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 | 42 | 2005 |
| Applications of multi-objective structure optimization A Gepperth, S Roth Neurocomputing 69 (7-9), 701-713, 2006 | 32 | 2006 |
| A comprehensive, application-oriented study of catastrophic forgetting in DNNs B Pfülb, A Gepperth International Conference on Learning Representations (ICLR), 2019 | 27 | 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 | 25 | 2007 |
| 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 | 23 | 2010 |
| Multi-objective neural network optimization for visual object detection S Roth, A Gepperth, C Igel Multi-Objective Machine Learning, 629-655, 2006 | 21 | 2006 |
| 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 | 20 | 2013 |
| 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 | 20 | 2011 |
| 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 | 18 | 2014 |
| 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 | 17 | 2019 |
| 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 | 17 | 2015 |
| 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 | 17 | 2013 |
| 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 | 17 | 2008 |
| Situation-specific learning for ego-vehicle behavior prediction systems MG Ortiz, J Schmüdderich, F Kummert, A Gepperth 2011 14th International IEEE Conference on Intelligent Transportation …, 2011 | 16 | 2011 |
