Julian Eggert

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Horst-Michael GrossFull Professor of Computer Science, Technische Universitaet IlmenauAdresse e-mail validée de tu-ilmenau.de
Sven HellbachWestsächsische Hochschule ZwickauAdresse e-mail validée de fh-zwickau.de
Jürgen AdamyProfessor für Regelungsmethoden und Robotik, Technische Universität DarmstadtAdresse e-mail validée de rmr.tu-darmstadt.de
Jörg LückeProfessor for Machine Learning, University of Oldenburg, Germany.Adresse e-mail validée de uni-oldenburg.de
Christian VollmerIlmenau University of Technology, Neuroinformatics and Cognitive Robotics LabAdresse e-mail validée de tu-ilmenau.de
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyAdresse e-mail validée de tu-berlin.de
Peter KönigCognitive Science, University OsnabrückAdresse e-mail validée de uos.de
Wolfgang Einhäuser TreyerChemnitz University of TechnologyAdresse e-mail validée de physik.tu-chemnitz.de
Jörg BornscheinDeepMindAdresse e-mail validée de google.com
Lorincz, AndrasEotvos Lorand UniversityAdresse e-mail validée de inf.elte.hu
Benjamin DittesGoogle Switzerland GmbHAdresse e-mail validée de google.com
Alexander GepperthProfessor Of Computer Science, University of Applied Sciences Fulda, GermanyAdresse e-mail validée de cs.hs-fulda.de
Maneesh SahaniGatsby Unit, UCLAdresse e-mail validée de gatsby.ucl.ac.uk
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Jochen J. SteilProfessor of Robotics, Technische Universität BraunschweigAdresse e-mail validée de tu-braunschweig.de

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Julian Eggert

Senior Chief Scientist, Honda Research Institute

Adresse e-mail validée de honda-ri.de

Machine Learning Artificial Intelligence Autonomous Cognitive Systems


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Sparse coding and NMF J Eggert, E Korner 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004	392	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	118	2006
A two-stage correlation method for stereoscopic depth estimation N Einecke, J Eggert 2010 International Conference on Digital Image Computing: Techniques and …, 2010	95	2010
Predictive risk estimation for intelligent ADAS functions J Eggert 17th International IEEE Conference on Intelligent Transportation Systems …, 2014	94	2014
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	81	2016
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	80	2014
Modeling neuronal assemblies: theory and implementation J Eggert, JL van Hemmen Neural computation 13 (9), 1923-1974, 2001	75	2001
The foresighted driver model J Eggert, F Damerow, S Klingelschmitt 2015 IEEE Intelligent Vehicles Symposium (IV), 322-329, 2015	69	2015
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	68	2005
Artificial vision system and method for knowledge-based selective visual analysis J Eggert, S Rebhan US Patent 8,433,661, 2013	65	2013
A multi-block-matching approach for stereo N Einecke, J Eggert 2015 IEEE Intelligent Vehicles Symposium (IV), 585-592, 2015	58	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	57	2010
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
Risk-aversive behavior planning under multiple situations with uncertainty F Damerow, J Eggert 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015	55	2015
Predictive risk maps F Damerow, J Eggert 17th International IEEE Conference on Intelligent Transportation Systems …, 2014	54	2014
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	48	2013
Binary sparse coding M Henniges, G Puertas, J Bornschein, J Eggert, J Lücke Latent Variable Analysis and Signal Separation: 9th International Conference …, 2010	48	2010
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	42	2014

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