54 citations · 105 across the 14 of their papers we have counts for
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cs.CV2022★ 10 cited
Data-Driven Feature Tracking for Event Cameras With and Without Frames
Nico Messikommer, Carter Fang, Mathias Gehrig +2
Because of their high temporal resolution, increased resilience to motion blur, and very sparse output, event cameras have been shown to be ideal for low-latency and low-bandwidth…
cs.CV2022★ 54 cited
Dense Continuous-Time Optical Flow from Events and Frames
Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza
We present a method for estimating dense continuous-time optical flow from event data. Traditional dense optical flow methods compute the pixel displacement between two images. Due…