Biography

My research works toward Physical AI: vision systems that perceive the physical world, let people interact with what is perceived, and remain deployable under real-world constraints. I pursue three connected axes, treating them not as separate topics but as the perception, generation, and deployment layers of a single pipeline: segmentation, extending from images to video and 3D; interactive segmentation and editing; and multimodal distillation and quantization. Across all three, my approach is to exploit the implicit knowledge already embedded in large-scale foundation models, using generative priors and lightweight interaction to remove the annotation and optimization burdens that make vision systems expensive to build and maintain.

I have been with OGQ since 2017, currently serving as the Principal AI Researcher and leading industrial AI research and development to maximize tangible real-world impact. In parallel, I have pursued my research under the guidance of Prof. Kyungsu Kim since 2021; following his appointment at Seoul National University, I joined the SNU AIBL Lab as an Affiliated Researcher in September 2024, where I mentor graduate and undergraduate researchers and lead core projects as a co-corresponding author. Integrating industrial R&D leadership with academic rigor, I aim to develop machine learning systems that are both scientifically grounded and practically deployable.