Jong-Hwan Kim

Jong-Hwan Kim

KAIST

H-index: 52

Asia-South Korea

About Jong-Hwan Kim

Jong-Hwan Kim, With an exceptional h-index of 52 and a recent h-index of 26 (since 2020), a distinguished researcher at KAIST, specializes in the field of AI Robotics, Intelligence Technology, Machine Intelligence Learning.

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

Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning

SPU-BERT: Faster human multi-trajectory prediction from socio-physical understanding of BERT

Spatio-Temporal Deformable DETR for Weakly Supervised Defect Localization

Balanced supervised contrastive learning for few-shot class-incremental learning

RDIS: Random drop imputation with self-training for incomplete time series data

Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR

Simvodis++: Neural semantic visual odometry in dynamic environments

Dual task learning by leveraging both dense correspondence and Mis-correspondence for robust change detection with imperfect matches

Jong-Hwan Kim Information

University

Position

Professor of Electrical Engineering

Citations(all)

15139

Citations(since 2020)

3673

Cited By

12305

hIndex(all)

52

hIndex(since 2020)

26

i10Index(all)

219

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Jong-Hwan Kim Skills & Research Interests

AI Robotics

Intelligence Technology

Machine Intelligence Learning

Top articles of Jong-Hwan Kim

Title

Journal

Author(s)

Publication Date

Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning

arXiv preprint arXiv:2309.02833

In-Ug Yoon

Tae-Min Choi

Sun-Kyung Lee

Young-Min Kim

Jong-Hwan Kim

2023/9/6

SPU-BERT: Faster human multi-trajectory prediction from socio-physical understanding of BERT

Knowledge-Based Systems

Ki-In Na

Ue-Hwan Kim

Jong-Hwan Kim

2023/8/15

Spatio-Temporal Deformable DETR for Weakly Supervised Defect Localization

IEEE Sensors Journal

Young-Min Kim

Yong-Ho Yoo

In-Ug Yoon

Hyun Myung

Jong-Hwan Kim

2023/7/28

Balanced supervised contrastive learning for few-shot class-incremental learning

arXiv preprint arXiv:2305.16687

In-Ug Yoon

Tae-Min Choi

Young-Min Kim

Jong-Hwan Kim

2023/5/26

RDIS: Random drop imputation with self-training for incomplete time series data

IEEE Access

Tae-Min Choi

Ji-Su Kang

Jong-Hwan Kim

2023/9/14

Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR

Curie Kim

Ue-Hwan Kim

Jong-Hwan Kim

2022/9/20

Simvodis++: Neural semantic visual odometry in dynamic environments

IEEE Robotics and Automation Letters

Ue-Hwan Kim

Se-Ho Kim

Jong-Hwan Kim

2022/2/14

Dual task learning by leveraging both dense correspondence and Mis-correspondence for robust change detection with imperfect matches

Jin-Man Park

Ue-Hwan Kim

Seon-Hoon Lee

Jong-Hwan Kim

2022

Writing in the air: Unconstrained text recognition from finger movement using spatio-temporal convolution

IEEE Transactions on Artificial Intelligence

Ue-Hwan Kim

Yewon Hwang

Sun-Kyung Lee

Jong-Hwan Kim

2022/10/10

GSECnet: Ground segmentation of point clouds for edge computing

arXiv preprint arXiv:2104.01766

Dong He

Jie Cheng

Jong-Hwan Kim

2021/4/5

Air-text: Air-writing and recognition system

Sun-Kyung Lee

Jong-Hwan Kim

2021/10/17

Bi-directional convolutional recurrent reconstructive network for welding defect detection

IEEE Access

Young-Min Kim

In-Ug Yoon

Hyun Myung

Jong-Hwan Kim

2021/9/29

AI world cup: robot-soccer-based competitions

IEEE Transactions on Games

Chansol Hong

Inbae Jeong

Luiz Felipe Vecchietti

Dongsoo Har

Jong-Hwan Kim

2021/3/11

Changesim: Towards end-to-end online scene change detection in industrial indoor environments

Jin-Man Park

Jae-Hyuk Jang

Sahng-Min Yoo

Sun-Kyung Lee

Ue-Hwan Kim

...

2021/9/27

Online incremental hierarchical classification resonance network

Pattern Recognition

Ju-Youn Park

Jong-Hwan Kim

2021/3/1

Learning to Explore, Navigate and Interact for Visual Room Rearrangement

Ue-Hwan Kim

Young-Ho Kim

Jin-Man Park

Hwan-Soo Choi

Jong-Hwan Kim

2021

Type Anywhere You Want: An Introduction to Invisible Mobile Keyboard

arXiv preprint arXiv:2108.09030

Sahng-Min Yoo

Ue-Hwan Kim

Yewon Hwang

Jong-Hwan Kim

2021/8/20

S-DRN: Stabilized developmental resonance network

In-Ug Yoon

Ue-Hwan Kim

Hyun Myung

Jong-Hwan Kim

2021/12/16

SR-EM: episodic memory aware of semantic relations based on hierarchical clustering resonance network

IEEE Transactions on Cybernetics

Jae-Woo Choi

Gyeong-Moon Park

Jong-Hwan Kim

2021/6/16

Revisiting self-supervised monocular depth estimation

Ue-Hwan Kim

Gyeong-Min Lee

Jong-Hwan Kim

2021/12/16

See List of Professors in Jong-Hwan Kim University(KAIST)