7 citations · 7 across the 4 of their papers we have counts for
5 papers
Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Bearing is a key component in industrial machinery and its failure may lead to unwanted downtime and economic loss. Hence, it is necessary to predict the remaining useful life (RUL…
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Sungho Suh, Sojeong Cheon, Wonseo Choi +6
Deep neural networks (DNNs) have been widely used for medical image analysis. However, the lack of access a to large-scale annotated dataset poses a great challenge, especially in…
Discriminative feature generation for classification of imbalanced data
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The data imbalance problem is a frequent bottleneck in the classification performance of neural networks. In this paper, we propose a novel supervised discriminative feature genera…
Two-stage generative adversarial networks for document image binarization with color noise and background removal
Sungho Suh, Jihun Kim, Paul Lukowicz +1
Document image enhancement and binarization methods are often used to improve the accuracy and efficiency of document image analysis tasks such as text recognition. Traditional non…
Fusion of Global-Local Features for Image Quality Inspection of Shipping Label
Sungho Suh, Paul Lukowicz, Yong Oh Lee
The demands of automated shipping address recognition and verification have increased to handle a large number of packages and to save costs associated with misdelivery. A previous…