30 citations · 173 across the 35 of their papers we have counts for
5 papers · 1 filter
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
Jeong-gi Kwak, David K. Han, Hanseok Ko
The goal of face attribute editing is altering a facial image according to given target attributes such as hair color, mustache, gender, etc. It belongs to the image-to-image domai…
Unsupervised domain adaptation based COVID-19 CT infection segmentation network
Han Chen, Yifan Jiang, Murray Loew +1
Automatic segmentation of infection areas in computed tomography (CT) images has proven to be an effective diagnosis approach for COVID-19. However, due to the limited number of pi…
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network
Yifan Jiang, Han Chen, Murray Loew +1
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread rapidly since December 2019. Real-time reverse transcription polymerase chain reaction (rRT-PCR) a…
Data Separability for Neural Network Classifiers and the Development of a Separability Index
Shuyue Guan, Murray Loew, Hanseok Ko
In machine learning, the performance of a classifier depends on both the classifier model and the dataset. For a specific neural network classifier, the training process varies wit…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…