Sanghyeok Lee
I earned my Ph.D. in the Department of Computer Science at Korea University, advised by Prof. Hyunwoo J. Kim (Machine Learning & Vision Lab, MLV Lab). I am a postdoctoral research fellow at Korea Advanced Institute of Science & Technology (KAIST).
My research interests include Efficient Deep Learning, Video Understanding, Computer Vision, 3D Vision, and Multimodal Large Language Models (MLLMs). If you are interested in collaboration, feel free to reach out!
Email: sanghyeoklee [at] kaist [dot] ac [dot] kr
For more information, please see my CV and Publications!
2026
May
Served as a Program Committee member for the MICCAI 4th International Workshop on Foundation Models for General Medical AI.
Sep
Joined KAIST (MLV Lab, hosted by Prof. Hyunwoo J. Kim) as a postdoctoral research fellow.
Awarded the InnoCORE Postdoctoral Fellowship!
Jun
Our paper (Representation Shift) got accepted to ICCV 2025!
Representation Shift: Unifying Token Compression with FlashAttention
May
Served as a Program Committee member for the MICCAI 3rd International Workshop on Foundation Models for General Medical AI.
Feb
Our paper (EfficientViM) got accepted to CVPR 2025!
EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
2024
Aug
Received the Outstanding Paper Award @ Korea Univ.
May
Served as a Program Committee member for the MICCAI 2nd International Workshop on Foundation Models for General Medical AI.
Feb
Our papers (MCTF, vid-TLDR) got accepted to CVPR 2024! (Travel Award)
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
vid-TLDR: Training Free Token merging for Light-weight Video Transformer
2023
Jul
Our paper (RPO) got accepted to ICCV 2023!
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Feb
Our paper (SPoTr) got accepted to CVPR 2023!
Self-positioning Point-based Transformer for Point Cloud Understanding
@ 2026 Sanghyeok Lee