- 연세대학교 공학사 (전기전자공학)

- 연세대학교 공학박사 (전기전자공학)

- 전자공학과 조교수, 서울과학기술대학교 (2026.03 - 현재)

- Research Scientist, Twelve Labs (2023.07 - 2026.02)

- Research Intern, Adobe Research (2021.05 - 2021.11)

- Computer Vision

- Image / Video Processing

- Machine Learning

- World Models

- 공학수학1

- 영상처리

- Hyeongmin 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.

- Hanbin Son, Taeoh Kim, Hyeongmin Lee, and Sangyoun Lee, “Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks,” IEEE Transactions on Image Processing (TIP), 2022.

- Hyeongmin Lee and Kyungjune Baek, “Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian Splatting,” Neural Information Processing Systems (NeurIPS), 2025.

- 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) (Highlight; Top 10% of Accepted Papers), 2023.

- Chajin Shin, Hyeongmin Lee, Hanbin Son, Sangjin Lee, Dogyoon Lee, and Sangyoun Lee, “Expanded Adaptive Scaling Normalization for End to End Image Compression,” European Conference on Computer Vision (ECCV), 2022.

- Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, and Sangyoun Lee, “Regularization Strategy for Point Cloud via Rigidly Mixed Sample,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

- 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.