Taeheon Kim

Ph.D. Candidate

Image and Video Systems Lab

Korea Advanced Institute of Science and Technology (KAIST)

e-mail: eetaekim@kaist.ac.kr [Google Scholar] [Youtube]

Curriculum Vitae (Updated Feb.2024) 

I'm a Ph.D. student at KAIST EE, advised by Professor Yong Man Ro.

Research Interest 

Education

■  KAIST (Spring 2020 ~ Present)

Ph.D. in Electrical Engineering 

■   KAIST (Spring 2014 ~ Fall 2018)

B.S. in Electrical Engineering

■   Georgia Institute of Technology (Fall 2016 ~ Spring 2017)

Computer Engineering - GPA: 4.0/4.0 (Faculty Honors)

■   Gyeongnam Science High School  (Spring 2012 ~ Fall 2013 )

■   Cheldelin Middle School, USA

Publications

5. Revisiting Misalignment in Multispectral Pedestrian Detection: A Language-driven Approach for Cross-modal Alignment Fusion

Taeheon Kim, Sangyun Chung, Youngjoon Yu, and Yong Man Ro

IEEE International Conference on Image Processing Workshops (ICIPW), 2024

4. Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection

Taeheon Kim*, Sebin Shin*, Youngjoon Yu, Hak Gu Kim, and Yong Man Ro (* : equally contributed.)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Acceptance Rate 23.6% 

[paper][demo video][code]

3. Multispectral Invisible Coating: Laminated Visible-Thermal Physical Attack against Multispectral Object Detectors using Transparent Low-e films

Taeheon Kim, Youngjoon Yu, and Yong Man Ro

AAAI Conference on Artificial Intelligence (AAAI), 2023

Acceptance Rate 19.6%

[paper][demo video]

2. Defending Physical Adversarial Attack on Object Detection via Adversarial Patch-Feature Energy

Taeheon Kim, Youngjoon Yu, and Yong Man Ro

ACM Multimedia (MM), 2022

Acceptance Rate 24%

[paper][demo video]

1. MAP: Multispectral Adversarial Patch to Attack Multispectral Person Detection

Taeheon Kim, Hong Joo Lee, and Yong Man Ro

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

[paper] [demo video]

Professional Activities

Reviewer

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Teaching

2016 Spring: CS101: Introduction to Programming

2017 Spring: ECE2031: Digital Design Laboratory

2021 Spring: EE202: Signals and Systems

2021 Fall, 2022 Spring, 2022 Fall: EE305: Introduction to Electronics Design Lab

Other Skills

I'm also very enthusiastic about interpreting and performing Chopin's piano works, which are full of nobleness, creativity, and delicacy. His music makes my life beautiful and gives great energy and inspiration to my research.

Here are some of the famous interpretations of Chopin's piano music.