Jihyeon Lee

Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques

2020 · arXiv (Cornell University)

To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which indicate what buildings and population centers have been most affected. …

Learning Debiased Representation via Disentangled Feature Augmentation

2021 · arXiv (Cornell University)

Image classification models tend to make decisions based on peripheral attributes of data items that have strong correlation with a target variable (i.e., dataset bias). These biased models suffer from the poor generalization capability when …