| Sparse coding and NMF J Eggert, E Korner 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 389 | 2004 |
| A probabilistic model for binaural sound localization V Willert, J Eggert, J Adamy, R Stahl, E Korner IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2006 | 114 | 2006 |
| A two-stage correlation method for stereoscopic depth estimation N Einecke, J Eggert 2010 International Conference on Digital Image Computing: Techniques and …, 2010 | 91 | 2010 |
| Predictive risk estimation for intelligent ADAS functions J Eggert 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 88 | 2014 |
| Combining behavior and situation information for reliably estimating multiple intentions S Klingelschmitt, M Platho, HM Groß, V Willert, J Eggert 2014 IEEE Intelligent Vehicles Symposium Proceedings, 388-393, 2014 | 75 | 2014 |
| Modeling neuronal assemblies: theory and implementation J Eggert, JL van Hemmen Neural computation 13 (9), 1923-1974, 2001 | 73 | 2001 |
| Method and vehicle with an advanced driver assistance system for risk-based traffic scene analysis F Damerow, J Eggert US Patent 9,463,797, 2016 | 68 | 2016 |
| Learning viewpoint invariant object representations using a temporal coherence principle W Einhäuser, J Hipp, J Eggert, E Körner, P König Biological Cybernetics 93 (1), 79-90, 2005 | 66 | 2005 |
| The foresighted driver model J Eggert, F Damerow, S Klingelschmitt 2015 IEEE Intelligent Vehicles Symposium (IV), 322-329, 2015 | 64 | 2015 |
| Artificial vision system and method for knowledge-based selective visual analysis J Eggert, S Rebhan US Patent 8,433,661, 2013 | 63 | 2013 |
| Transformation-invariant representation and NMF J Eggert, H Wersing, E Korner 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 57 | 2004 |
| A multi-block-matching approach for stereo N Einecke, J Eggert 2015 IEEE Intelligent Vehicles Symposium (IV), 585-592, 2015 | 56 | 2015 |
| Expectation truncation and the benefits of preselection in training generative models J Lücke, J Eggert The Journal of Machine Learning Research 10, 2855-2900, 2010 | 56 | 2010 |
| Predictive risk maps F Damerow, J Eggert 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 53 | 2014 |
| Risk-aversive behavior planning under multiple situations with uncertainty F Damerow, J Eggert 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 51 | 2015 |
| Binary sparse coding M Henniges, G Puertas, J Bornschein, J Eggert, J Lücke Latent Variable Analysis and Signal Separation: 9th International Conference …, 2010 | 49 | 2010 |
| Learning features for activity recognition with shift-invariant sparse coding C Vollmer, HM Gross, JP Eggert Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 45 | 2013 |
| Sparse coding with invariance constraints H Wersing, J Eggert, E Körner International Conference on Artificial Neural Networks, 385-392, 2003 | 44 | 2003 |
| Unifying framework for neuronal assembly dynamics J Eggert, JL Van Hemmen Physical review E 61 (2), 1855, 2000 | 43 | 2000 |
| Block-matching stereo with relaxed fronto-parallel assumption N Einecke, J Eggert 2014 IEEE Intelligent Vehicles Symposium Proceedings, 700-705, 2014 | 40 | 2014 |
Horst-Michael GrossFull Professor of Computer Science, Technische Universitaet IlmenauVerified email at tu-ilmenau.de
