Markus Enzweiler

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Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
Dariu M. GavrilaFull Professor at Delft University of TechnologyVerified email at gavrila.net
Timo Rehfeld (Scharwächter)Mercedes-Benz Research & Development North AmericaVerified email at daimler.com
Marius CordtsMercedes-Benz AG R&D - Automated DrivingVerified email at daimler.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Sebastian RamosCEO & Co-Founder @ TensoreyeVerified email at tensoreye.de
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
Lukas SchneiderVerified email at schneiderdt.de
Christoph Gustav KellerNvidia CorporationVerified email at nvidia.com
Angela Blechschmidt geb. EigenstetterApple Inc.Verified email at apple.com
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Microsoft Mixed Reality and AI Lab ZurichVerified email at inf.ethz.ch
Christoph B. RistPhD Student, TU Delft Intelligent Vehicles GroupVerified email at tudelft.nl
Björn FröhlichJenoptik AGVerified email at daimler.com
J. Marius ZöllnerProfessor at Karlsruhe Institute of Technology (KIT), Director at Forschungszentrum Informatik (FZI)Verified email at fzi.de
David Fernández LlorcaEuropean Commission - Joint Research Centre and University of AlcaláVerified email at uah.es
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Peter PinggeraTensoreyeVerified email at pinggera.net

Markus Enzweiler

Professor of Computer Science, Esslingen University of Applied Sciences

Verified email at hs-esslingen.de - Homepage

Autonomous Systems Scene Understanding Deep Learning


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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	7458	2016
Monocular pedestrian detection: Survey and experiments M Enzweiler, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 31 (12), 2179 …, 2008	1569	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	846	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	305	2010
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	219	2015
A multilevel mixture-of-experts framework for pedestrian classification M Enzweiler, DM Gavrila IEEE Transactions on Image Processing 20 (10), 2967-2979, 2011	187	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	186	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	128	2011
Integrated pedestrian classification and orientation estimation M Enzweiler, DM Gavrila 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	113	2010
A mixed generative-discriminative framework for pedestrian classification M Enzweiler, DM Gavrila 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	112	2008
Efficient multi-cue scene segmentation T Scharwächter, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition, 435-445, 2013	108	2013
A new benchmark for stereo-based pedestrian detection CG Keller, M Enzweiler, DM Gavrila 2011 IEEE Intelligent Vehicles Symposium (IV), 691-696, 2011	107	2011
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	91	2016
Monocular pedestrian recognition using motion parallax M Enzweiler, P Kanter, DM Gavrila 2008 IEEE Intelligent Vehicles Symposium, 792-797, 2008	75	2008
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	71	2014
Efficient stixel-based object recognition M Enzweiler, M Hummel, D Pfeiffer, U Franke 2012 IEEE Intelligent Vehicles Symposium, 1066-1071, 2012	68	2012
Towards multi-cue urban curb recognition M Enzweiler, P Greiner, C Knöppel, U Franke 2013 IEEE Intelligent Vehicles Symposium (IV), 902-907, 2013	43	2013
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	42	2017
High-level fusion of depth and intensity for pedestrian classification M Rohrbach, M Enzweiler, DM Gavrila Joint Pattern Recognition Symposium, 101-110, 2009	42	2009
Boosting lidar-based semantic labeling by cross-modal training data generation F Piewak, P Pinggera, M Schafer, D Peter, B Schwarz, N Schneider, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018	40	2018

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