Julian Eggert
Julian Eggert
Chief Scientist, Honda Research Institute
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Title
Cited by
Cited by
Year
Sparse coding and NMF
J Eggert, E Korner
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
3042004
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
942006
A two-stage correlation method for stereoscopic depth estimation
N Einecke, J Eggert
2010 International Conference on Digital Image Computing: Techniques and …, 2010
792010
Modeling neuronal assemblies: theory and implementation
J Eggert, JL Hemmen
Neural Computation 13 (9), 1923-1974, 2001
592001
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
562005
Transformation-invariant representation and NMF
J Eggert, H Wersing, E Korner
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
562004
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
442010
Sparse coding with invariance constraints
H Wersing, J Eggert, E Körner
Artificial Neural Networks and Neural Information Processing—ICANN/ICONIP …, 2003
432003
A multi-block-matching approach for stereo
N Einecke, J Eggert
2015 IEEE Intelligent Vehicles Symposium (IV), 585-592, 2015
402015
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
392014
Unifying framework for neuronal assembly dynamics
J Eggert, JL Van Hemmen
Physical review E 61 (2), 1855, 2000
392000
Predictive risk estimation for intelligent adas functions
J Eggert
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
382014
Learning features for activity recognition with shift-invariant sparse coding
C Vollmer, HM Gross, JP Eggert
International conference on artificial neural networks, 367-374, 2013
362013
Block-matching stereo with relaxed fronto-parallel assumption
N Einecke, J Eggert
2014 IEEE Intelligent Vehicles Symposium Proceedings, 700-705, 2014
352014
The foresighted driver model
J Eggert, F Damerow, S Klingelschmitt
2015 IEEE Intelligent Vehicles Symposium (IV), 322-329, 2015
332015
Predictive risk maps
F Damerow, J Eggert
17th International IEEE Conference on Intelligent Transportation Systems …, 2014
312014
Binary sparse coding
M Henniges, G Puertas, J Bornschein, J Eggert, J Lücke
International Conference on Latent Variable Analysis and Signal Separation …, 2010
312010
Non-gaussian velocity distributions integrated over space, time, and scales
V Willert, J Eggert, J Adamy, E Korner
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 36 …, 2005
312005
Estimating object proper motion using optical flow, kinematics, and depth information
J Schmudderich, V Willert, J Eggert, S Rebhan, C Goerick, G Sagerer, ...
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008
292008
Risk-aversive behavior planning under multiple situations with uncertainty
F Damerow, J Eggert
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
262015
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