Markus Enzweiler - Google Scholar Citations

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Co-authors

Uwe FrankeHead of Image Understanding, Daimler AGVerified email at daimler.com
Dariu M. GavrilaFull Professor at Delft University of TechnologyVerified email at gavrila.net
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
Timo Rehfeld (Scharwächter)Mercedes-Benz Research & Development North AmericaVerified email at daimler.com
Marius CordtsDaimler AGVerified email at daimler.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Sebastian RamosTechnical Expert | Deep Learning Multi-Sensor Perception @ ZenuityVerified email at zenuity.com
Mohamed OmranMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
Rodrigo BenensonResearch scientist at GoogleVerified email at google.com
David PfeifferZoox IncVerified email at dltmail.de
Marcus RohrbachResearch Scientist, Facebook AI ResearchVerified email at fb.com
Christoph Gustav KellerDaimler AGVerified email at daimler.com
Lukas SchneiderVerified email at schneiderdt.de
Angela Blechschmidt geb. EigenstetterApple Inc.Verified email at apple.com
Marc PollefeysDirector of Science, Microsoft HoloLens; Professor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
Björn FröhlichJenoptik AGVerified email at daimler.com
David Fernández LlorcaFull Professor, Computer Engineering Department, University of Alcalá, SpainVerified email at uah.es
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
J. Marius ZöllnerProfessor at Karlsruhe Institute of Technology (KIT), Director at Forschungszentrum Informatik (FZI)Verified email at fzi.de
Peter PinggeraDaimler AG, Research & DevelopmentVerified email at daimler.com

Markus Enzweiler

Mercedes-Benz AG R&D - Automated Driving

Verified email at daimler.com - Homepage

Autonomous Driving Scene Understanding Deep Learning Lidar Computer Vision


Title	Cited by	Year
The Cityscapes Dataset for Semantic Urban Scene Understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Computer vision and pattern recognition (CVPR), 2016 IEEE Conference on, 2016	2580	2016
Monocular pedestrian detection: Survey and experiments M Enzweiler, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 31 (12), 2179 …, 2008	1356	2008
Making Bertha Drive - An Autonomous Journey on a Historic Route J Ziegler, P Bender, M Schreiber, H Lategahn, T Strauss, C Stiller, T Dang, ... Intelligent Transportation Systems Magazine, IEEE 6 (2), 8-20, 2014	561	2014
Multi-cue pedestrian classification with partial occlusion handling M Enzweiler, A Eigenstetter, B Schiele, DM Gavrila 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	256	2010
A multilevel mixture-of-experts framework for pedestrian classification M Enzweiler, DM Gavrila IEEE Transactions on Image Processing 20 (10), 2967-2979, 2011	157	2011
Making bertha see U Franke, D Pfeiffer, C Rabe, C Knoeppel, M Enzweiler, F Stein, ... Proceedings of the IEEE International Conference on Computer Vision …, 2013	156	2013
The benefits of dense stereo for pedestrian detection CG Keller, M Enzweiler, M Rohrbach, DF Llorca, C Schnorr, DM Gavrila IEEE transactions on intelligent transportation systems 12 (4), 1096-1106, 2011	112	2011
The cityscapes dataset M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ... CVPR Workshop on the Future of Datasets in Vision 2, 2015	110	2015
A mixed generative-discriminative framework for pedestrian classification M Enzweiler, DM Gavrila 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	104	2008
Integrated pedestrian classification and orientation estimation M Enzweiler, DM Gavrila 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	100	2010
A new benchmark for stereo-based pedestrian detection CG Keller, M Enzweiler, DM Gavrila 2011 IEEE Intelligent Vehicles Symposium (IV), 691-696, 2011	89	2011
Efficient multi-cue scene segmentation T Scharwächter, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition, 435-445, 2013	73	2013
Monocular pedestrian recognition using motion parallax M Enzweiler, P Kanter, DM Gavrila 2008 IEEE Intelligent Vehicles Symposium, 792-797, 2008	71	2008
Semantic stixels: Depth is not enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... 2016 IEEE Intelligent Vehicles Symposium (IV), 110-117, 2016	65	2016
Stixmantics: A medium-level model for real-time semantic scene understanding T Scharwächter, M Enzweiler, U Franke, S Roth European Conference on Computer Vision, 533-548, 2014	61	2014
Efficient stixel-based object recognition M Enzweiler, M Hummel, D Pfeiffer, U Franke 2012 IEEE Intelligent Vehicles Symposium, 1066-1071, 2012	59	2012
Towards multi-cue urban curb recognition M Enzweiler, P Greiner, C Knöppel, U Franke 2013 IEEE Intelligent Vehicles Symposium (IV), 902-907, 2013	40	2013
High-level fusion of depth and intensity for pedestrian classification M Rohrbach, M Enzweiler, DM Gavrila Joint Pattern Recognition Symposium, 101-110, 2009	39	2009
The stixel world: A medium-level representation of traffic scenes M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ... Image and Vision Computing 68, 40-52, 2017	23	2017
Will this car change the lane?-turn signal recognition in the frequency domain B Fröhlich, M Enzweiler, U Franke 2014 IEEE Intelligent Vehicles Symposium Proceedings, 37-42, 2014	23	2014

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