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 my dissertation research titled Plane-constrained Incremental 3D reconstruction in an Indoor Scene. Most of my researches are intended to be used in a 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.
Currently, I affiliate with UCSC Computer Vision Lab lead by Professor Roberto Manduchi. I plan to finish my dissertation by 2018 Spring. After that, I will be joining Apple Inc. in Sunnyvale, California, USA.
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.