Mathias Gehrig

According to our database, Mathias Gehrig authored at least 29 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dense Continuous-Time Optical Flow From Event Cameras.

Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Revisiting Token Pruning for Object Detection and Instance Segmentation.

Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Reinforcement Learning Meets Visual Odometry.

Nico Messikommer, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza

Proceedings of the Computer Vision - ECCV 2024, 2024

State Space Models for Event Cameras.

Nikola Zubic, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LEOD: Label-Efficient Object Detection for Event Cameras.

Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception.

Asude Aydin, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

From Chaos Comes Order: Ordering Event Representations for Object Detection.

Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

CoRR, 2023

From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neuromorphic Optical Flow and Real-time Implementation with Event Cameras.

Yannick Schnider, Stanislaw Wozniak, Mathias Gehrig, Jules Lecomte, Axel von Arnim, Luca Benini, Davide Scaramuzza, Angeliki Pantazi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Data-Driven Feature Tracking for Event Cameras.

Nico Messikommer, Carter Fang, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Recurrent Vision Transformers for Object Detection with Event Cameras.

Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation.

Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2022

Dense Continuous-Time Optical Flow from Events and Frames.

Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

CoRR, 2022

AlphaPilot: autonomous drone racing.

Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

Auton. Robots, 2022

2021

Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction.

Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2021

DSEC: A Stereo Event Camera Dataset for Driving Scenarios.

Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza

IEEE Robotics Autom. Lett., 2021

Dense Optical Flow from Event Cameras.

Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza

CoRR, 2021

TimeLens: Event-based Video Frame Interpolation.

Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza

CoRR, 2021

Time Lens: Event-Based Video Frame Interpolation.

Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How To Calibrate Your Event Camera.

Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

E-RAFT: Dense Optical Flow from Event Cameras.

Mathias Gehrig, Mario Millhäusler, Daniel Gehrig, Davide Scaramuzza

Proceedings of the International Conference on 3D Vision, 2021

2020

Event-Based Angular Velocity Regression with Spiking Networks.

Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras.

Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Video to Events: Recycling Video Datasets for Event Cameras.

Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Video to Events: Bringing Modern Computer Vision Closer to Event Cameras.

Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza

CoRR, 2019

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.

Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

Proceedings of the International Conference on Robotics and Automation, 2019

Focus Is All You Need: Loss Functions for Event-Based Vision.

Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Visual place recognition with probabilistic voting.

Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Visual Place Recognition with Probabilistic Vertex Voting.

Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart

CoRR, 2016