Multimedia Computing & Machine Learning Group

led by Prof. Jong-Seok Lee

School of Integrated Technology, Yonsei University

Research Areas

Explainable AI

Explainable AI aims to improve the transparency of AI decisions through interpretable methods

Responsible AI

Focusing on safe image generation and machine unlearning.

Efficient AI

Focusing on learned image compression and knowledge distillation.

Brain-Computer Interfaces

BCI is a powerful way to understand users' perception directly by monitoring brain activities

Dynamic Vision Sensors

Dynamic Vision Sensors detect rapid visual changes through event-based imaging

Multimodal Deep Learning

Often, heterogeneous sensors are simultaneously involved, which produce multimodal data

News

Aug. 2026

Paper accepted in ECCV 2026 Workshop on Low-Level Vision Frontiers

Aug. 2026

Prof. Lee serves as Area Chair of ICLR 2027 and ACM MM Asia 2026

Apr. 2026

2 papers accepted in ICIP 2026

Mar. 2026

Prof. Lee serves as Area Chair of NeurIPS 2026

Mar. 2026

Prof. Lee won the Distinguished Teaching Award 2025 from Yonsei University

Mar. 2026

Prof. Lee serves as Area Chair of ACM MM 2026

Jan. 2026

Paper accepted in ICASSP 2026

Jan. 2026

Prof. Lee serves as Senior PC of IJCAI 2026

Jan. 2026

Prof. Lee serves as Senior Area Chair of ICME 2026

Sep. 2025

Prof. Lee serves as Area Chair of ICASSP 2026

Lab environment
Research activities
Team collaboration