Publications
Selected
Publications
M. Enzweiler and D. M. Gavrila.
A Multi-Level Mixture-of-Experts Framework for Pedestrian
Classification.
IEEE Transactions on Image Processing, vol. 20, no. 10, pp.
2967-2979, 2011.
M. Enzweiler and D. M. Gavrila.
Monocular Pedestrian Detection: Survey and
Experiments.
IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI), vol. 31, no. 12, pp. 2179-2195, 2009.
M. Enzweiler and D. M. Gavrila.
Integrated Pedestrian Classification and Orientation
Estimation.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), San Francisco, USA, 2010.
M. Enzweiler, A. Eigenstetter, B. Schiele and D. M.
Gavrila.
Multi-Cue Pedestrian Classification with Partial Occlusion
Handling.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), San Francisco, USA, 2010.
M. Enzweiler and D. M. Gavrila.
A Mixed Generative-Discriminative Framework for Pedestrian
Classification.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Anchorage, USA, 2008.
All Journal Publications
M. Enzweiler and D. M. Gavrila.
A Multi-Level Mixture-of-Experts Framework for Pedestrian
Classification.
IEEE Transactions on Image Processing, vol. 20, no. 10, pp.
2967-2979, 2011.
C. G. Keller, M. Enzweiler, M. Rohrbach, D. F. Llorca, C.
Schnörr and D. M. Gavrila.
The Benefits of Dense Stereo for Pedestrian
Detection.
IEEE Transactions on Intelligent Transportation Systems,
vol. 12, no. 4, pp. 1096-1106, 2011.
M. Enzweiler and D. M. Gavrila.
Monocular Pedestrian Detection: Survey and
Experiments.
IEEE Transactions on Pattern Analysis and Machine
Intelligence (TPAMI), vol. 31, no. 12, pp. 2179-2195, 2009.
All
Conference Publications
M.
Enzweiler, P. Greiner, C. Knoeppel and U. Franke.
Towards Multi-Cue Urban Curb Recognition.
IEEE Intelligent Vehicles Symposium, Gold Coast, Australia,
2013, to appear.
M. Enzweiler, M. Hummel, D. Pfeiffer and U. Franke.
Efficient Stixel-Based Object Recognition.
IEEE Intelligent Vehicles Symposium, Alcala de Henares,
Spain, 2012.
C.
G. Keller, M. Enzweiler and D. M. Gavrila.
A New Benchmark for Stereo-Based Pedestrian
Detection.
IEEE Intelligent Vehicles Symposium, Baden-Baden, Germany,
2011.
M. Enzweiler and D. M. Gavrila.
Integrated Pedestrian Classification and Orientation
Estimation.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), San Francisco, USA, 2010.
M. Enzweiler, A. Eigenstetter, B. Schiele and D. M.
Gavrila.
Multi-Cue Pedestrian Classification with Partial Occlusion
Handling.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), San Francisco, USA, 2010.
M. Rohrbach, M. Enzweiler and D. M. Gavrila.
High-Level Fusion of Depth and Intensity for Pedestrian
Classification.
DAGM Symposium, pp. 101-110, Jena, Germany, 2009.
M. Enzweiler and D. M. Gavrila.
A Mixed Generative-Discriminative Framework for Pedestrian
Classification.
Proc. of the IEEE Conference on Computer Vision and Pattern
Recognition (CVPR), Anchorage, USA, 2008.
M. Enzweiler, P. Kanter and D. M. Gavrila.
Monocular Pedestrian Recognition Using Motion
Parallax.
IEEE Intelligent Vehicles Symposium, Eindhoven, The
Netherlands, 2008.
W. Schulz, M. Enzweiler and T. Ehlgen.
Pedestrian Recognition from a Moving Catadioptric
Camera.
DAGM Symposium, pp. 456-465, Heidelberg, Germany, 2007.
M. Enzweiler, R. P Wildes and R. Herpers.
Unified Target Detection and Tracking Using Motion
Coherence.
IEEE Workshop on Motion and Video Computing, pp. 66-71,
Breckenridge, USA, 2005.
Theses
M. Enzweiler. Resampling Techniques for Pedestrian Classification. Master's Thesis, University of Ulm, Ulm, Germany, 12/2005.
M. Enzweiler. Computing Motion Trajectories Using Spatiotemporal Motion Analysis. Bachelor's Thesis, Bonn-Rhein-Sieg University of Applied Sciences, St. Augustin, Germany, 08/2003.