Follow
Mathias Gehrig
Mathias Gehrig
PhD Candidate, University of Zurich
Verified email at ifi.uzh.ch - Homepage
Title
Cited by
Cited by
Year
DSEC: A Stereo Event Camera Dataset for Driving Scenarios
M Gehrig, W Aarents, D Gehrig, D Scaramuzza
IEEE Robotics and Automation Letters, 2021
1662021
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
1622020
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
1452019
AlphaPilot: Autonomous Drone Racing
P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ...
2020 Robotics: Science and Systems (RSS), 2020
1422020
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
1252021
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
1142019
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
922021
E-raft: Dense optical flow from event cameras
M Gehrig, M Millhäusler, D Gehrig, D Scaramuzza
2021 International Conference on 3D Vision (3DV), 197-206, 2021
902021
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
782020
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
462017
How to Calibrate Your Event Camera
M Muglikar, M Gehrig, D Gehrig, D Scaramuzza
IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
422021
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
412020
Bridging the gap between events and frames through unsupervised domain adaptation
N Messikommer, D Gehrig, M Gehrig, D Scaramuzza
IEEE Robotics and Automation Letters 7 (2), 3515-3522, 2022
322022
Recurrent vision transformers for object detection with event cameras
M Gehrig, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
302023
Dense Continuous-Time Optical Flow from Event Cameras
M Gehrig, M Muglikar, D Scaramuzza
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
8*2024
Data-driven feature tracking for event cameras
N Messikommer, C Fang, M Gehrig, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
From Chaos Comes Order: Ordering Event Representations for Object Detection
N Zubić, D Gehrig, M Gehrig, D Scaramuzza
Proceedings of the International Conference on Computer Vision (ICCV), 2023
2*2023
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
A Aydin, M Gehrig, D Gehrig, D Scaramuzza
arXiv preprint arXiv:2303.14176, 2023
12023
State Space Models for Event Cameras
N Zubić, M Gehrig, D Scaramuzza
arXiv preprint arXiv:2402.15584, 2024
2024
Revisiting Token Pruning for Object Detection and Instance Segmentation
Y Liu, M Gehrig, N Messikommer, M Cannici, D Scaramuzza
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
The system can't perform the operation now. Try again later.
Articles 1–20