Youngwook Paul Kwon

I’ve been fascinated in various theories of computer vision and deep learning. Plus, I've also enjoyed the deeper understanding of the physical world. These combined interests led me to study both computer science and mechanical engineering. I received double B.S. at Seoul National University (CS+ME), M.S. at UC Berkeley (CS), and Ph.D. at UC Berkeley (ME concentrated in computer vision, especially the topics of image feature description and matching). Several internships at Lawrence Livermore National Laboratory ignite my research on low-level image processing such as feature detection and description. Currently at Phantom AI, I've worked on high-level perception such as object detection (2D/3D) in the field of autonomous driving. In short, here are my all-time questions: How can I help machines to see/think/act better, and given my humble knowledge, how can I contribute to the society in a positive way?

Email theorem: \(e=x@y\) where \(x=\)"young" and \(y=\)"berkeley.edu"