3 papers
cs.CV2020
Event-based Asynchronous Sparse Convolutional Networks
Nico Messikommer, Daniel Gehrig, Antonio Loquercio +1
Event cameras are bio-inspired sensors that respond to per-pixel brightness changes in the form of asynchronous and sparse "events". Recently, pattern recognition algorithms, such…
cs.CV2019
Video to Events: Recycling Video Datasets for Event Cameras
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió +1
Event cameras are novel sensors that output brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with…
cs.CV2019
End-to-End Learning of Representations for Asynchronous Event-Based Data
Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis +1
Event cameras are vision sensors that record asynchronous streams of per-pixel brightness changes, referred to as "events". They have appealing advantages over frame-based cameras…