7 citations · 7 across the 1 of their papers we have counts for
4 papers
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…
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…
Topology-Aware Non-Rigid Point Cloud Registration
Konstantinos Zampogiannis, Cornelia Fermuller, Yiannis Aloimonos
In this paper, we introduce a non-rigid registration pipeline for pairs of unorganized point clouds that may be topologically different. Standard warp field estimation algorithms,…
On the Importance of Consistency in Training Deep Neural Networks
Chengxi Ye, Yezhou Yang, Cornelia Fermuller +1
We explain that the difficulties of training deep neural networks come from a syndrome of three consistency issues. This paper describes our efforts in their analysis and treatment…