Stefan Gehrig

Publication Activity (10 Years)

Years Active: 2008-2017
Publications (10 Years): 3

Top Topics

Semi Global Matching

Weather Conditions

Top Venues

Intelligent Vehicles Symposium

Publications

Stefan Gehrig, Nicolai Schneider, Reto Stalder, Uwe Franke
Stereo vision during adverse weather - Using priors to increase robustness in real-time stereo vision. Image Vis. Comput. 68 (2017)
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
Lost and Found: detecting small road hazards for self-driving vehicles. IROS (2016)
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR (2016)
Stefan Gehrig, Nicolai Schneider, Uwe Franke
Exploiting Traffic Scene Disparity Statistics for Stereo Vision. CVPR Workshops (2014)
David Pfeiffer, Stefan Gehrig, Nicolai Schneider
Exploiting the Power of Stereo Confidences. CVPR (2013)
Stefan Gehrig, Maxim Reznitskii, Nicolai Schneider, Uwe Franke, Joachim Weickert
Priors for Stereo Vision under Adverse Weather Conditions. ICCV Workshops (2013)
René Ranftl, Stefan Gehrig, Thomas Pock, Horst Bischof
Pushing the limits of stereo using variational stereo estimation. Intelligent Vehicles Symposium (2012)
Stefan Gehrig, Alexander Barth, Nicolai Schneider, Jan Siegemund
A multi-cue approach for stereo-based object confidence estimation. IROS (2012)
Nicolai Schneider, Stefan Gehrig, David Pfeiffer, Konstantinos A. Banitsas
An Evaluation Framework for Stereo-Based Driver Assistance. Theoretical Foundations of Computer Vision (2011)
Daniel Kondermann, Steffen Abraham, Gabriel J. Brostow, Wolfgang Förstner, Stefan Gehrig, Atsushi Imiya, Bernd Jähne, Felix Klose, Marcus A. Magnor, Helmut Mayer, Rudolf Mester, Tomás Pajdla, Ralf Reulke, Henning Zimmer
On Performance Analysis of Optical Flow Algorithms. Theoretical Foundations of Computer Vision (2011)
Juergen Gall, Bodo Rosenhahn, Stefan Gehrig, Hans-Peter Seidel
Model-Based Motion Capture for Crash Test Video Analysis. DAGM-Symposium (2008)