Yekeun Jeong

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Yekeun Jeong is a researcher specializing in computer vision and robotics, with a focus on sensor fusion, 3D perception, and object detection. Her work addresses critical challenges in integrating depth-sensing technologies with traditional vision systems. Her most-cited paper, "A novel 2.5D pattern for extrinsic calibration of ToF and camera fusion system" (2011, 22 citations), introduces an innovative calibration method that enables accurate alignment between Time-of-Flight depth sensors and RGB cameras—a fundamental requirement for reliable 3D scene understanding. In "Graph-based robust shape matching for robotic application" (2009, 13 citations), Jeong tackles the difficult problem of recognizing objects in cluttered, occluded environments by leveraging graph-based shape representations, advancing robotic perception capabilities. Her research on "Detecting Small Objects in Natural Scene using Depth Cue" (2010, 4 citations) pioneers the use of depth information to improve detection of small-scale targets—a persistent challenge in computer vision. Through these contributions, Jeong has helped bridge the gap between 2D and 3D vision systems, enabling more robust perception for autonomous systems and robotic applications.