Mathias Gehrig

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Frame Interpolation

Object Detection

Visual Odometry

Top Venues

IEEE Robotics Autom. Lett.

Publications

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza
Reinforcement Learning Meets Visual Odometry. CoRR (2024)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. WACV (2024)
Nikola Zubic, Mathias Gehrig, Davide Scaramuzza
State Space Models for Event Cameras. CoRR (2024)
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
Dense Continuous-Time Optical Flow From Event Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CVPR Workshops (2023)
Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception. CoRR (2023)
Mathias Gehrig, Davide Scaramuzza
Recurrent Vision Transformers for Object Detection with Event Cameras. CVPR (2023)
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
From Chaos Comes Order: Ordering Event Representations for Object Detection. CoRR (2023)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-Driven Feature Tracking for Event Cameras. CVPR (2023)
Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza
Revisiting Token Pruning for Object Detection and Instance Segmentation. CoRR (2023)
Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras. CoRR (2023)
Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. ICCV (2023)
Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
LEOD: Label-Efficient Object Detection for Event Cameras. CoRR (2023)
Mathias Gehrig, Davide Scaramuzza
Recurrent Vision Transformers for Object Detection with Event Cameras. CoRR (2022)
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
Dense Continuous-Time Optical Flow from Events and Frames. CoRR (2022)
Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza
Data-driven Feature Tracking for Event Cameras. CoRR (2022)
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
AlphaPilot: autonomous drone racing. Auton. Robots 46 (1) (2022)
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. CoRR (2021)
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics Autom. Lett. 6 (3) (2021)
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
Time Lens: Event-Based Video Frame Interpolation. CVPR (2021)
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
How to Calibrate Your Event Camera. CoRR (2021)
Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza
DSEC: A Stereo Event Camera Dataset for Driving Scenarios. CoRR (2021)
Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza
How To Calibrate Your Event Camera. CVPR Workshops (2021)
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robotics Autom. Lett. 6 (2) (2021)
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
E-RAFT: Dense Optical Flow from Event Cameras. 3DV (2021)
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
TimeLens: Event-based Video Frame Interpolation. CoRR (2021)
Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza
Bridging the Gap between Events and Frames through Unsupervised Domain Adaptation. CoRR (2021)
Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza
Dense Optical Flow from Event Cameras. CoRR (2021)
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
AlphaPilot: Autonomous Drone Racing. CoRR (2020)
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. ICRA (2020)
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
Event-Based Angular Velocity Regression with Spiking Networks. CoRR (2020)
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Video to Events: Recycling Video Datasets for Event Cameras. CVPR (2020)
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
AlphaPilot: Autonomous Drone Racing. Robotics: Science and Systems (2020)
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza
Event-Based Angular Velocity Regression with Spiking Networks. ICRA (2020)
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
Focus Is All You Need: Loss Functions for Event-Based Vision. CVPR (2019)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA (2019)
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
Focus Is All You Need: Loss Functions For Event-based Vision. CoRR (2019)
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. CoRR (2019)
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza
Video to Events: Bringing Modern Computer Vision Closer to Event Cameras. CoRR (2019)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR (2018)
Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart
Visual place recognition with probabilistic voting. ICRA (2017)
Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart
Visual Place Recognition with Probabilistic Vertex Voting. CoRR (2016)