Taeheon Kim
Ph.D. Candidate
Integrated Vision and Language Lab
Korea Advanced Institute of Science and Technology (KAIST)
e-mail: eetaekim@kaist.ac.kr [Google Scholar] [Youtube]
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I'm a Ph.D. student at KAIST, advised by Professor Yong Man Ro.
My Ph.D research focuses on the Physical-world Robustness of multimodal models.
Research Interest
Computer Vision, Large, Multi-modal Learning
Physical Adversarial Attack/Defense, Causal Inference, Object Detection.
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
7. Infrared Cleanser: Detecting the Hyperchannel and Removing Adversarial Patches in Infrared Images
Taeheon Kim, Sangyun Chung, Youngjoon Yu, and Yong Man Ro
Under Review (2024)
6. MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
Taeheon Kim*, Sangyun Chung*, Damin Yeom, Youngjoon Yu, Hak Gu Kim, and Yong Man Ro (* : equally contributed.)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Impact Factor: 8.3, JCR Top 5.5%
[paper][code]
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 (* : equally contributed.)
IEEE International Conference on Image Processing (ICIP), 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 Conference (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
Professional Activities
■ Reviewer
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024, 2025
IEEE / CVF International Conference on Computer Vision (ICCV) 2025
AAAI Conference on Artificial Intelligence (AAAI) 2025
International Conference on Learning Representations (ICLR) 2025
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 2023, 2024
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024
IEEE Transactions on Multimedia (TMM) 2025
IEEE Robotics and Automation Letters (RA-L) 2025
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023
IEEE International Conference on Image Processing Workshop (ICIPW) 2024
■ Teaching
2016 Spring: CS101: Introduction to Programming
@KAIST, Undergraduate Teaching Assistant
2017 Spring: ECE2031: Digital Design Laboratory
@Georgia Tech, Undergraduate Teaching Assistant
Supervised over 30 GT students about lab experiments, technical writing, and presentation skills.
2021 Spring: EE202: Signals and Systems
@KAIST, Graduate Teaching Assistant
2021 Fall, 2022 Spring, 2022 Fall: EE305: Introduction to Electronics Design Lab
@KAIST, Graduate Teaching Assistant
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.
Classical Piano Performances (Played by Taeheon Kim)
Here are some of the famous interpretations of Chopin's piano music.
Performances from Famous Artists
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