Markus Enzweiler
Markus Enzweiler
Professor of Computer Science, Esslingen University of Applied Sciences
Bestätigte E-Mail-Adresse bei hs-esslingen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
48212016
Monocular pedestrian detection: Survey and experiments
M Enzweiler, DM Gavrila
IEEE transactions on pattern analysis and machine intelligence 31 (12), 2179 …, 2008
14952008
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
7452014
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
2952010
A multilevel mixture-of-experts framework for pedestrian classification
M Enzweiler, DM Gavrila
IEEE Transactions on Image Processing 20 (10), 2967-2979, 2011
1742011
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
1732013
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
1512015
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
1242011
A mixed generative-discriminative framework for pedestrian classification
M Enzweiler, DM Gavrila
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
1142008
Integrated pedestrian classification and orientation estimation
M Enzweiler, DM Gavrila
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1072010
A new benchmark for stereo-based pedestrian detection
CG Keller, M Enzweiler, DM Gavrila
2011 IEEE Intelligent Vehicles Symposium (IV), 691-696, 2011
1012011
Efficient multi-cue scene segmentation
T Scharwächter, M Enzweiler, U Franke, S Roth
German Conference on Pattern Recognition, 435-445, 2013
912013
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
872016
Monocular pedestrian recognition using motion parallax
M Enzweiler, P Kanter, DM Gavrila
2008 IEEE Intelligent Vehicles Symposium, 792-797, 2008
742008
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
662014
Efficient stixel-based object recognition
M Enzweiler, M Hummel, D Pfeiffer, U Franke
2012 IEEE Intelligent Vehicles Symposium, 1066-1071, 2012
642012
High-level fusion of depth and intensity for pedestrian classification
M Rohrbach, M Enzweiler, DM Gavrila
Joint Pattern Recognition Symposium, 101-110, 2009
442009
Towards multi-cue urban curb recognition
M Enzweiler, P Greiner, C Knöppel, U Franke
2013 IEEE Intelligent Vehicles Symposium (IV), 902-907, 2013
402013
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
352017
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
322018
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