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researcher

C. Fermüller

4 papers hereh-index 415.4k citations211 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedOn the Importance of Consistency in Training Deep Neural Networks

7 citations · 7 across the 1 of their papers we have counts for

collaborators

4 papers

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…

cs.CV2018

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,…

cs.LG2017★ 7 cited

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…

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