Kyoung Rok Lee

Kyoung Rok Lee has worked in various roles in the computer vision field since 2009. In 2009, they worked as a Graduate Student Researcher at UC San Diego, developing algorithms in C++ and CUDA to enhance noisy or low-resolution depth maps using high-resolution color images, and for camera tracking and surface mapping using a handheld RGB-D camera. In 2011, they were an Interim Engineering Intern at Qualcomm Korea, where they developed and simulated a text detection algorithm in natural images based on machine learning technique. In 2009, they were a Software Engineering Intern at Atalgo, Inc., where they developed an object extraction method in C++ for video conference and optimized an existing encoding method to provide high-quality video while reducing the bandwidth required. From 2014 to 2020, they worked at Hexagon Manufacturing Intelligence as a Computer Vision Engineer, where they developed a structured-light based 3D stereo vision system, an Augmented Reality (AR) program to visualize scanned pointcloud with Microsoft Hololens, and object classification using tensorflow and 3D pointcloud registration. Currently, they are a Principal Computer Vision Engineer at AWM Smart Shelf, where they are responsible for multi-camera intrinsics and extrinsics calibration, which supports both pinhole and fisheye cameras, and real-time multi-human 3D pose estimation and tracking with multiple calibrated cameras.

Kyoung Rok Lee's education history includes a PhD in Electrical and Computer Engineering from UC San Diego (2011-2014), a Master of Science (M.S.) in Computer Science from UC San Diego (2008-2010), and a Bachelor of Engineering in Computer Engineering from Kyungpook National University (2001-2008).