ProfessorsProfessors of KAISTYoungji Kim

Youngji Kim

KAIST

H-index: 8

Asia-South Korea

About Youngji Kim

Youngji Kim, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at KAIST, specializes in the field of robotics, SLAM, computer vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multitask learning for scalable and dense multilayer bayesian map inference

A single correspondence is enough: Robust global registration to avoid degeneracy in urban environments

Unsupervised balanced covariance learning for visual-inertial sensor fusion

Youngji Kim Information

University	KAIST
Position	___
Citations(all)	183
Citations(since 2020)	167
Cited By	58
hIndex(all)	8
hIndex(since 2020)	7
i10Index(all)	6
i10Index(since 2020)	5
Email	Access Email
University Profile Page	KAIST
Google Scholar	View Google Scholar Profile

Youngji Kim Skills & Research Interests

robotics

SLAM

computer vision

Top articles of Youngji Kim

Title	Journal	Author(s)	Publication Date
Multitask learning for scalable and dense multilayer bayesian map inference	IEEE Transactions on Robotics	Lu Gan Youngji Kim Jessy W Grizzle Jeffrey M Walls Ayoung Kim ...	2022/8/31
A single correspondence is enough: Robust global registration to avoid degeneracy in urban environments		Hyungtae Lim Suyong Yeon Soohyun Ryu Yonghan Lee Youngji Kim ...	2022/5/23
Unsupervised balanced covariance learning for visual-inertial sensor fusion	IEEE Robotics and Automation Letters	Youngji Kim Sungho Yoon Sujung Kim Ayoung Kim	2021/1/14