31 citations · 69 across the 10 of their papers we have counts for
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cs.CV2018★ 31 cited
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller +2
In this work we present a lightweight, unsupervised learning pipeline for \textit{dense} depth, optical flow and egomotion estimation from sparse event output of the Dynamic Vision…
cs.CV2018
Evenly Cascaded Convolutional Networks
Chengxi Ye, Chinmaya Devaraj, Michael Maynord +2
We introduce Evenly Cascaded convolutional Network (ECN), a neural network taking inspiration from the cascade algorithm of wavelet analysis. ECN employs two feature streams - a lo…