I'm a Principal Engineer at Samsung Research, Seoul, Korea. I have been working on Computer Vision for Augmented Reality more than 10 years. During my experience at Qualcomm and Samsung, I have worked on several CV topics, including Image-based 3D modeling, Object Detection and Tracking, and Image Restoration. Recently, my research interests are extended to deep learning methods for augmented reality, especially on mobile device platforms.
E-Mail: contact.wlee@icloud.com
Principal Engineer, Samsung Research, Seoul, Korea
Staff Engineer, Samsung Research, Seoul, Korea
Senior Computer Vision Engineer in Vuforia Team at PTC
Senior Computer vision Engineer in Vuforia Team at Qualcomm Austria Research Center
Ph.D., Department of Information and Communication (DIC), Gwangju Institute of Science and Technology (GIST), Gwangju, Korea
M.S., Department of Information and Communication (DIC), Gwangju Institute of Science and Technology (GIST), Gwangju, Korea
B.S., Department of Mechanical Engineering, Hanyang University , Seoul, Korea (including 26 months military services)
AI-based Video Understanding
Deep learning-based tracking and image/video restoration
Real-time object detection and tracking
Image-based modelling and 3D reconstruction
Augmented / Virtual reality
[2024-Present]
Best Moment Detection from Videos
Developed on-device AI solution that detects meaningful moments from a video.
Commercialized to Galaxy S25 series (Feature Introduction) as Auto-Trim in Samsung Studio.
[2023]
On-device Video Understanding
Developed on-device AI solution that captures interesting moments from videos of cats and dogs.
Commercialized to Galaxy S24 series (Feature Introduction) as SingleTake -Pet mode in Camera App.
[2016] - [2022]
Deep Learning Technologies for Augmented Reality Glasses
Role: Team member
Topic: Deep learning-based computer vision methods for Object Recognition, Camera Motion Estimation, Saliency Detection, and Video Deblurring.
Vuforia SDK Development for Augmented Reality
Role: Team member
Topic: Worked on several features of Vuforia SDK, including SLAM, Extended Tracking, Object Target, VuMark.
Real-time registration and Intelligent Information Augmentation for 4D+ Augmented Reality : Development of target detection and tracking with RGB-D cameras and information synthesis techniques for augmented reality.
Role: Team member
Topic: In situ 3D modeling of indoor scenes on mobile phones for creating virtual annotations
Real-time registration and Intelligent Information Augmentation for 4D+ Augmented Reality : Development of target detection and tracking with RGB-D cameras and information synthesis
Mobile Phone-based AR Tour Guide: Development of Augmented Reality services on mobile phones to guide tourists, exploiting GPS, cameras, and cloud computing resources.
Role: Team member
Topic in 2011: Real-time object detection on mobile phones
Topic in 2010: Real-time learning and detection of a planar target on mobile phones
Topic in 2009: 2D visual tag detection and tracking on mobile phones
Context-aware Mobile Augmented Reality(CAMAR): CAMAR project aimed to develop a mobile augmented reality framework that allows selective contents sharing among users based on their personal context.
Role: Team member
Topic: Personalized 2D visual tag recognition
Immersive Media Contents Creation Platform: The goal of this project was developing a framework to create realistic 3D contents using image-based modeling techniques and corresponding technologies.
Role: Team leader
Topic: Depth-based 2.5D environment modeling and image-based 3D object modeling