Haebom Lee

Generative Oversampling Method for Imbalanced Data on Bearing Fault Detection and Diagnosis

Sungho Suh*, Haebom Lee*, Jun Jo, Paul Lukowicz and Yong Oh Lee

Applied Sciences 2019, 9(4), 746

Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs

Haebom Lee, Jun Jo, Yong Oh Lee, Nuriye Korkmaz Zirpel, Leon Abelmann

International Conference on Practical Applications of Computational Biology & Bioinformatics. Springer, Cham, 2018.

Presented at International Conference on PACBB 2018, Toledo, Spain

Real-time Apparent Resolution Enhancement for Head-mounted Displays

Haebom Lee, Piotr Didyk

Proceedings of the ACM on Computer Graphics and Interactive Techniques 1.1 (2018): 19.

Presented at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2018, Montreal, Canada

Measuring Color Defects in Flat Panel Displays using HDR Imaging and Appearance Modeling

Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim

IEEE Transactions on Instrumentation and Measurement, Oct. 19, 2015, 65(2), pp.297-304

Building a Two-Way Hyperspectral Imaging System with Liquid Crystal Tunable Filters

Haebom Lee, Min H. Kim

Proc. Int. Conf. Image and Signal Processing 2014, Lecture Notes in Computer Science, 8509, June 2014, pp. 26-34 (oral presentation)

Implementation and Performance Improvement of EKF-SLAM and TJTF-SLAM with Logs of Sensor Data Set taken from Real Robots

Byungsoo Kim, Haebom Lee, Kee-Eung Kim

Undergraduate Research Participation (URP) Program, KAIST, 2008 Fall

Kaggle Statoil/C-CORE Iceberg Classifier Challenge

Kaggle is well known for hosting deep learning related competitions. Iceberg Classifier Challenge was one of them, encouraging researchers to distinguish icebergs from ships by examining a set of radar images. I designed a CNN model as well as image processing algorithms for preprocessing.

Deep Learning based Segmentation for Autonomous Driving

One of the most important techniques for autonomous driving is image segmentation. Exploiting deep learning in this area is already common because of its accuracy and flexibility. In this project, I tested several state-of-the-art deep learning segmentation algorithms. Furthermore, an efficient method to generate street view images from a simulated scene was also investigated.

Real-time Apparent Resolution Enhancement for VR devices

There have been several apparent resolution enhancement techniques for high-framerate displays using an expensive optimization or a vibrating motor. Those characteristics made the methods unable to be performed on head mounted displays, which are usually showing real-time contents. The proposed technique approximates the time consuming optimization using a set of filters. While there is a slight loss of clarity, it improves apparent resolution in real time as shown in a user experiment. The details will be provided in this page.

Smartphone Display Inspection System

In order to make the smartphone display inspection more reliable, quantified, and automatized, a system based on HDR imaging and image appearance modeling was developed for LG Electronics. The system efficiently classified faulty products, which are containing yellowish regions or black dots. The details are presented in this paper.

PACT Engine for Mobile Devices

PACT Engine is an OpenGL-based 3D game engine developed in Com2uS, a mobile game company. The engine consists of a viewer, a 3ds Max plugin and libraries for iOS and Android. It supports keyframe-based animations for bones, vertices and textures

Android Wrapper Framework for Game Development

An OS-independent development environment gets rid of problems occur in porting a game from one platform to another. The 'Wrapper' project was therefore initiated in Com2uS to enable the developers to focus only on a game itself. The project is categorized into 'iOS Wrapper' and 'Android Wrapper'. I took the charge of the Android wrapper and successfully launched the first Android game of Com2uS.

Mobile Game Development

I participated as an engine programmer in several game developments: Homerun Battle 3D, Homerun Battle 2, Heavy Gunner 3D, Zombie Runaway, Swing Shot, and Slice It!.

Netflix Prize

Netflix set $1,000,000 prize for the accurate recommendation system. I implemented k-Nearest Neighbors, k-Means Clustering, and Naive Bayesian Classifier on a Hadoop-based distributed system to participate in the Netflix Prize.