activity
20172024
most citedOn the Importance of Consistency in Training Deep Neural Networks

7 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.LG2019

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

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…