activity
20122021
most citedUnsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data

31 citations · 69 across the 10 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 15 cited

Network Deconvolution

Chengxi Ye, Matthew Evanusa, Hua He +5

Convolution is a central operation in Convolutional Neural Networks (CNNs), which applies a kernel to overlapping regions shifted across the image. However, because of the strong c…

cs.CV2019★ 1 cited

EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras

Anton Mitrokhin, Chengxi Ye, Cornelia Fermuller +2

We present the first event-based learning approach for motion segmentation in indoor scenes and the first event-based dataset - EV-IMO - which includes accurate pixel-wise motion m…