Statistical Inference and Information Theory Laboratory

Korea Advanced Institute of Science and Technology

Junmo Kim (S01-M05) received the B.S. degree from Seoul National University, Seoul, Korea, in 1998, and the M.S. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT), Cambridge, in 2000 and 2005, respectively. From 2005 to 2009, he was with the Samsung Advanced Institute of Technology (SAIT), Korea, as a Research Staff Member. He joined the faculty of KAIST in 2009, where he is currently an Assistant Professor
of electrical engineering. His research interests are in image processing, computer vision, statistical signal
processing, and information theory.

Statistical Inference and Information Theory Laboratory was established at Korea Advanced Institute of Science and Technology in 2009.
We are mainly interested in deep learning and machine learning to solve the problem of various computer vision tasks.

Our research topic can be found below:
Machine Learning & Pattern Recognition
Neural networks & Deep learning
Eye Tracking and Motion Tracking
Image Processing & Computer Vision
Image & Video Segmentation
Object Segmentation & Recognition
Image Annotation & Retrieval
Statistical Analysis & Mathematical Methods for Image Analysis
Statistical Shape Analysis
Medical Image Analysis

junmo@ee.kaist.ac.kr