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

Sep. 2025

Prof. Lee serves as Area Chair of ICLR 2026

Jul. 2025

Prof. Lee serves as Senior PC of AAAI 2026

Jul. 2025

Paper accepted in MMSP 2025

Jun. 2025

Paper accepted in SMC 2025

May 2025

Paper accepted in ICIP 2025

Apr. 2025

Paper accepted in Machine Vision and Applications

Jan. 2025

Paper accepted in ICLR 2025

Jan. 2025

Paper accepted in Pattern Recognition Letters

Nov. 2024

Prof. Lee got elected as a member of the Image, Video, and Multidimensional Signal Processing Technical Committee (IVMSP TC) of the IEEE Signal Processing Society

Nov. 2024

Prof. Lee got elected as a member of the Multimedia Signal Processing Technical Committee (MMSP TC) of the IEEE Signal Processing Society

Lab environment

Research activities

Team collaboration