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Johannes Stallkamp
Johannes Stallkamp
Hella Aglaia Mobile Vision GmbH
Bestätigte E-Mail-Adresse bei hella.com
Titel
Zitiert von
Zitiert von
Jahr
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
J Stallkamp, M Schlipsing, J Salmen, C Igel
Neural networks 32, 323-332, 2012
12442012
The German traffic sign recognition benchmark: a multi-class classification competition
J Stallkamp, M Schlipsing, J Salmen, C Igel
The 2011 international joint conference on neural networks, 1453-1460, 2011
9282011
Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark
S Houben, J Stallkamp, J Salmen, M Schlipsing, C Igel
The 2013 international joint conference on neural networks (IJCNN), 1-8, 2013
7292013
Video-based face recognition on real-world data
J Stallkamp, HK Ekenel, R Stiefelhagen
2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007
1602007
Real-time stereo vision: Optimizing semi-global matching
M Michael, J Salmen, J Stallkamp, M Schlipsing
2013 IEEE Intelligent Vehicles Symposium (IV), 1197-1202, 2013
882013
Face recognition for smart interactions
HK Ekenel, J Stallkamp, H Gao, M Fischer, R Stiefelhagen
2007 IEEE International Conference on Multimedia and Expo, 1007-1010, 2007
602007
A video-based door monitoring system using local appearance-based face models
HK Ekenel, J Stallkamp, R Stiefelhagen
Computer vision and image understanding 114 (5), 596-608, 2010
402010
Video-based face recognition using local appearance-based models
J Stallkamp
Thesisreport, Universitat Karlsruhe (TH), 2006
122006
Video-based driver identification using local appearance face recognition
J Stallkamp, HK Ekenel, H Erdoğan, R Stiefelhagen, A Erçil
Sabancı University, 2007
102007
Introduction to the special issue on machine learning for traffic sign recognition
J Stallkamp, M Schlipsing, J Salmen, C Igel
IEEE Transactions on Intelligent Transportation Systems 13 (4), 1481-1483, 2012
62012
Framework zur Entwicklung, Bewertung und Analyse von Computer-Vision-Anwendungen im Kontext umfelderfassender Fahrerassistenzsysteme
J Stallkamp
2015
Frame­work zur Ent­wick­lung, Be­wer­tung und Ana­ly­se von Com­pu­ter-Vi­si­on-An­wen­dun­gen im Kon­text um­fel­der­fas­sen­der Fah­re­ras­sis­tenz­sys­te­me
J Stallkamp
Faculty of Electrical Engineering and Information Technology, Ruhr …, 2014
2014
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