1 code implementation • 15 Dec 2023 • Simon Klenk, Marvin Motzet, Lukas Koestler, Daniel Cremers
To remove the dependency on additional sensors and to push the limits of using only a single event camera, we present Deep Event VO (DEVO), the first monocular event-only system with strong performance on a large number of real-world benchmarks.
1 code implementation • 20 Dec 2022 • Simon Klenk, David Bonello, Lukas Koestler, Nikita Araslanov, Daniel Cremers
The models pretrained with MEM are also label-efficient and generalize well to the dense task of semantic image segmentation.
1 code implementation • 24 Aug 2022 • Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers
We also show that combining events and frames can overcome failure cases of NeRF estimation in scenarios where only a few input views are available without requiring additional regularization.
no code implementations • 16 Aug 2021 • Simon Klenk, Jason Chui, Nikolaus Demmel, Daniel Cremers
The event cameras contain a large sensor of 1280x720 pixels, which is significantly larger than the sensors used in existing stereo event datasets (at least by a factor of ten).
no code implementations • 9 Jul 2021 • Jason Chui, Simon Klenk, Daniel Cremers
We propose a novel method for continuous-time feature tracking in event cameras.