Mathias Gehrig

49 papers A* 12A 1Journal 30Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Sun, Daniel Gehrig, Christos Sakaridis, Mathias Gehrig, Jingyun Liang, Peng Sun, Zhijie Xu, Kaiwei Wang, Luc Van Gool, Davide Scaramuzza
2025 J jnl
Data-Driven Feature Tracking for Event Cameras With and Without Frames.
IEEE Trans. Pattern Anal. Mach. Intell.
Nico Messikommer, Carter Fang, Mathias Gehrig, Giovanni Cioffi, Davide Scaramuzza
2024 — conf
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.
CVPR Workshops
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2024 J jnl
Dense Continuous-Time Optical Flow From Event Cameras.
IEEE Trans. Pattern Anal. Mach. Intell.
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
2024 A* conf
LEOD: Label-Efficient Object Detection for Event Cameras.
CVPR
Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
2024 — conf
Reinforcement Learning Meets Visual Odometry.
ECCV (59)
Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
2024 J jnl
Reinforcement Learning Meets Visual Odometry.
CoRR
Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
2024 A conf
Revisiting Token Pruning for Object Detection and Instance Segmentation.
WACV
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
2024 A* conf
State Space Models for Event Cameras.
CVPR
Nikola Zubic, Mathias Gehrig, Davide Scaramuzza
2024 J jnl
State Space Models for Event Cameras.
CoRR
Nikola Zubic, Mathias Gehrig, Davide Scaramuzza
2023 J jnl
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.
CoRR
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2023 A* conf
Data-Driven Feature Tracking for Event Cameras.
CVPR
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
2023 J jnl
From Chaos Comes Order: Ordering Event Representations for Object Detection.
CoRR
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2023 A* conf
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
ICCV
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2023 J jnl
LEOD: Label-Efficient Object Detection for Event Cameras.
CoRR
Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
2023 — conf
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras.
CVPR Workshops
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
2023 J jnl
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras.
CoRR
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
2023 A* conf
Recurrent Vision Transformers for Object Detection with Event Cameras.
CVPR
Mathias Gehrig, Davide Scaramuzza
2023 J jnl
Revisiting Token Pruning for Object Detection and Instance Segmentation.
CoRR
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
2022 J jnl
AlphaPilot: autonomous drone racing.
Auton. Robots
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
2022 J jnl
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation.
IEEE Robotics Autom. Lett.
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2022 J jnl
Data-driven Feature Tracking for Event Cameras.
CoRR
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
2022 J jnl
Dense Continuous-Time Optical Flow from Events and Frames.
CoRR
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
2022 J jnl
Recurrent Vision Transformers for Object Detection with Event Cameras.
CoRR
Mathias Gehrig, Davide Scaramuzza
2021 J jnl
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation.
CoRR
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
2021 J jnl
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
IEEE Robotics Autom. Lett.
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.
CoRR
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2021 J jnl
DSEC: A Stereo Event Camera Dataset for Driving Scenarios.
CoRR
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
DSEC: A Stereo Event Camera Dataset for Driving Scenarios.
IEEE Robotics Autom. Lett.
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
Dense Optical Flow from Event Cameras.
CoRR
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
2021 — conf
E-RAFT: Dense Optical Flow from Event Cameras.
3DV
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
2021 — conf
How To Calibrate Your Event Camera.
CVPR Workshops
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2021 J jnl
How to Calibrate Your Event Camera.
CoRR
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
2021 A* conf
Time Lens: Event-Based Video Frame Interpolation.
CVPR
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
2021 J jnl
TimeLens: Event-based Video Frame Interpolation.
CoRR
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
2020 — conf
AlphaPilot: Autonomous Drone Racing.
Robotics: Science and Systems
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
2020 J jnl
AlphaPilot: Autonomous Drone Racing.
CoRR
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
2020 A* conf
Event-Based Angular Velocity Regression with Spiking Networks.
ICRA
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
2020 J jnl
Event-Based Angular Velocity Regression with Spiking Networks.
CoRR
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
2020 A* conf
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras.
ICRA
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza
2020 A* conf
Video to Events: Recycling Video Datasets for Event Cameras.
CVPR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2019 A* conf
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
ICRA
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019 J jnl
Focus Is All You Need: Loss Functions For Event-based Vision.
CoRR
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
2019 A* conf
Focus Is All You Need: Loss Functions for Event-Based Vision.
CVPR
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
2019 J jnl
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras.
CoRR
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza
2019 J jnl
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras.
CoRR
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
2018 J jnl
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
CoRR
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2017 A* conf
Visual place recognition with probabilistic voting.
ICRA
Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart
2016 J jnl
Visual Place Recognition with Probabilistic Vertex Voting.
CoRR
Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart