Publications

Mathias Gehrig, Davide Scaramuzza (2022). Recurrent Vision Transformers for Object Detection with Event Cameras. Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

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Nico Messikommer, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza (2022). Bridging the Gap Between Events and Frames Through Unsupervised Domain Adaptation. IEEE Robotics and Automation Letters (RA-L).

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Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza (2022). Dense Continuous-Time Optical Flow from Events and Frames. arXiv preprint.

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Mathias Gehrig, Mario Millhausler, Daniel Gehrig, Davide Scaramuzza (2021). E-RAFT: Dense Optical Flow from Event Cameras. IEEE International Conference on 3D Vision (3DV), ORAL.

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Mathias Gehrig, Willem Aarents, Daniel Gehrig, Davide Scaramuzza (2021). DSEC: A Stereo Event Camera Dataset for Driving Scenarios. IEEE Robotics and Automation Letters (RA-L).

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Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza (2021). Time Lens: Event-based Video Frame Interpolation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza (2021). How to Calibrate Your Event Camera. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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Daniel Gehrig, Michelle Ruegg, Mathias Gehrig, Javier Hidalgo-Carrio, Davide Scaramuzza (2021). Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction. IEEE Robotics and Automation Letters (RA-L).

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Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza (2020). AlphaPilot: Autonomous Drone Racing. Robotics: Science and Systems (RSS).

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Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrio, Davide Scaramuzza (2020). Video to Events: Recycling Video Datasets for Event Cameras. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza (2020). Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras. IEEE International Conference on Robotics and Automation (ICRA).

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Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza (2020). Event-Based Angular Velocity Regression with Spiking Networks. IEEE International Conference on Robotics and Automation (ICRA).

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Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza (2019). Focus Is All You Need: Loss Functions for Event-Based Vision. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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Elia Kaufmann, Mathias Gehrig, Philipp Foehn, Rene Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza (2019). Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. International Conference on Robotics and Automation (ICRA).

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Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart (2017). Visual place recognition with probabilistic voting. IEEE International Conference on Robotics and Automation (ICRA).

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