Mathias Gehrig - Google Scholar Citations

2017201820191 9 12

Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
Elena StummAutonomous Systems Lab, ETH ZurichVerified email at ethz.ch
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandVerified email at ethz.ch
Timo HinzmannSwiss Federal Institute of Zurich (ETHZ)Verified email at ethz.ch
Alexey DosovitskiyResearch Scientist, Google BrainVerified email at google.com
Vladlen KoltunIntelVerified email at intel.com
Rene RanftlIntel LabsVerified email at intel.com
Philipp FoehnPhD Student in RoboticsVerified email at ifi.uzh.ch
Elia KaufmannRobotics and Perception Group, University of Zurich, SwitzerlandVerified email at ifi.uzh.ch
Guillermo GallegoAssociate Professor at TU BerlinVerified email at tu-berlin.de

Mathias Gehrig

Verified email at ifi.uzh.ch


Title	Cited by	Year
Visual place recognition with probabilistic voting M Gehrig, E Stumm, T Hinzmann, R Siegwart 2017 IEEE International Conference on Robotics and Automation (ICRA), 3192-3199, 2017	14	2017
Beauty and the beast: Optimal methods meet learning for drone racing E Kaufmann, M Gehrig, P Foehn, R Ranftl, A Dosovitskiy, V Koltun, ... 2019 International Conference on Robotics and Automation (ICRA), 690-696, 2019	7	2019
Focus is all you need: Loss functions for event-based vision G Gallego, M Gehrig, D Scaramuzza Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	1	2019

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