23 citations · 91 across the 16 of their papers we have counts for
16 papers
Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
Youngsaeng Jin, David K. Han, Hanseok Ko
With the availability of many datasets tailored for autonomous driving in real-world urban scenes, semantic segmentation for urban driving scenes achieves significant progress. How…
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features
Gwantae Kim, David K. Han, Hanseok Ko
A mixed sample data augmentation strategy is proposed to enhance the performance of models on audio scene classification, sound event classification, and speech enhancement tasks.…
CPNet: Cross-Parallel Network for Efficient Anomaly Detection
Youngsaeng Jin, Jonghwan Hong, David Han +1
Anomaly detection in video streams is a challenging problem because of the scarcity of abnormal events and the difficulty of accurately annotating them. To alleviate these issues,…
Few-shot Learning for CT Scan based COVID-19 Diagnosis
Yifan Jiang, Han Chen, David K. Han +1
Coronavirus disease 2019 (COVID-19) is a Public Health Emergency of International Concern infecting more than 40 million people across 188 countries and territories. Chest computed…
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…