4 citations · 8 across the 5 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 4 cited
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Simon Klenk, David Bonello, Lukas Koestler +2
Event cameras asynchronously capture brightness changes with low latency, high temporal resolution, and high dynamic range. However, annotation of event data is a costly and labori…
cs.CV2022
E-NeRF: Neural Radiance Fields from a Moving Event Camera
Simon Klenk, Lukas Koestler, Davide Scaramuzza +1
Estimating neural radiance fields (NeRFs) from "ideal" images has been extensively studied in the computer vision community. Most approaches assume optimal illumination and slow ca…