My research focuses on indoor geometry estimation, such as indoor 3D reconstruction based on (weak) Manhattan-World assumption and indoor visual odometry using a geometry-integrated deep neural network. Currently, I am working on patch-wise incremental indoor 3D reconstruction capable of run on a mobile device for assistive technology. Most of my researches are under restrictive mobile environment, especially on iOS and Android devices, for blind people as assistive technology.
I am also interested in deep machine learning topics for embedded environments, e.g., nVidia Jetson, or mobile devices with GPGPU.
Before joining UC Santa Cruz, I received M.S. degree in Computer Science from Yonsei University in 2013 (worked with Professor Hyeran Byun at Computer Vision and Pattern Recognition Lab) and received B.S. degree in Computer Engineering from Hongik University in 2011.