1. Ph.D. in Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (Mar. 2018 - Aug. 2023)
2. B.S. in Electrical and Electronic Engineering, Yonsei University, Seoul, Korea (Mar. 2014 - Feb. 2018)

1.Assistant Professor, Department of Electronic Engineering, Seoul National University of Science and Technology, Seoul, Korea (Mar. 2026 - Present)
2.ML Research Scientist, Twelve Labs, Seoul, Korea (Jul. 2023 - Feb. 2026), working on the foundation models for video understanding
3.Research Intern, Adobe Research, San Jose, CA, USA (May 2021 - Nov. 2021), working on video stabilization with Dr. Simon Niklaus and Dr. Oliver Wang

1. Machine Learning and Computer Vision
2. Video Understanding and Representation Learning
3. Video Processing, Enhancement, and Compression
4. 3D Vision
5. World Models

1. Hyeongmin Lee and Kyungjune Baek, "Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting," Neural Information Processing Systems (NeurIPS), 2025.
H2. yeongmin Lee, Taeoh Kim, Hanbin Son, Sangwook Baek, Minsu Cheon, and Sangyoun Lee, "A Nonlinear, Regularized, and Data-Independent Modulation for Continuously Interactive Image Processing Network," International Journal of Computer Vision (IJCV), 2023.
3. Sangjin Lee*, Hyeongmin Lee*, Chajin Shin, and Sangyoun Lee, "Exploring Discontinuity for Video Frame Interpolation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight; Top 10% of Accepted Papers).
4. Hyeongmin Lee, Taeoh Kim, Tae-young Chung, Daehyun Pak, Yuseok Ban, and Sangyoun Lee, "AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.