164 citations · 323 across the 19 of their papers we have counts for
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cs.CV2020
Learning Monocular Dense Depth from Events
Javier Hidalgo-Carrió, Daniel Gehrig, Davide Scaramuzza
Event cameras are novel sensors that output brightness changes in the form of a stream of asynchronous events instead of intensity frames. Compared to conventional image sensors, t…
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…