25 citations · 28 across the 5 of their papers we have counts for
5 papers
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime
Shuning Jiang, Wei-Lun Chao, Daniel Haehn +2
We present a data-domain sampling regime for quantifying CNNs' graphic perception behaviors. This regime lets us evaluate CNNs' ratio estimation ability in bar charts from three pe…
Generalization of CNNs on Relational Reasoning with Bar Charts
Zhenxing Cui, Lu Chen, Yunhai Wang +3
This paper presents a systematic study of the generalization of convolutional neural networks (CNNs) and humans on relational reasoning tasks with bar charts. We first revisit prev…
Fast Mitochondria Detection for Connectomics
Vincent Casser, Kai Kang, Hanspeter Pfister +1
High-resolution connectomics data allows for the identification of dysfunctional mitochondria which are linked to a variety of diseases such as autism or bipolar. However, manual a…
Guided Proofreading of Automatic Segmentations for Connectomics
Daniel Haehn, Verena Kaynig, James Tompkin +2
Automatic cell image segmentation methods in connectomics produce merge and split errors, which require correction through proofreading. Previous research has identified the visual…
Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures
Felix Gonda, Verena Kaynig, Ray Thouis +4
We present an interactive approach to train a deep neural network pixel classifier for the segmentation of neuronal structures. An interactive training scheme reduces the extremely…