Mathias Gehrig
Mathias Gehrig
Verified email at ifi.uzh.ch
Title
Cited by
Cited by
Year
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
662019
Focus is all you need: Loss functions for event-based vision
G Gallego, M Gehrig, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
442019
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
332017
Video to events: Recycling video datasets for event cameras
D Gehrig, M Gehrig, J Hidalgo-Carrió, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
322020
AlphaPilot: Autonomous Drone Racing
P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ...
2020 Robotics: Science and Systems (RSS), 2020
282020
Towards low-latency high-bandwidth control of quadrotors using event cameras
RS Dimitrova, M Gehrig, D Brescianini, D Scaramuzza
2020 IEEE International Conference on Robotics and Automation (ICRA), 4294-4300, 2020
222020
Event-Based Angular Velocity Regression with Spiking Networks
M Gehrig, SB Shrestha, D Mouritzen, D Scaramuzza
IEEE International Conference on Robotics and Automation (ICRA), 4195-4202, 2020
92020
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
M Gehrig, W Aarents, D Gehrig, D Scaramuzza
IEEE Robotics and Automation Letters, 2021
82021
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction
D Gehrig, M Rüegg, M Gehrig, J Hidalgo-Carrió, D Scaramuzza
IEEE Robotics and Automation Letters 6 (2), 2822-2829, 2021
22021
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation
N Messikommer, D Gehrig, M Gehrig, D Scaramuzza
arXiv preprint arXiv:2109.02618, 2021
2021
Dense Optical Flow from Event Cameras
M Gehrig, M Millhäusler, D Gehrig, D Scaramuzza
arXiv preprint arXiv:2108.10552, 2021
2021
Time Lens: Event-Based Video Frame Interpolation
S Tulyakov, D Gehrig, S Georgoulis, J Erbach, M Gehrig, Y Li, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2021
How to Calibrate Your Event Camera
M Muglikar, M Gehrig, D Gehrig, D Scaramuzza
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 0
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Articles 1–13