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

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

Aug. 2024

Prof. Lee published a book 인공지능 이해를 위한 수학(Math for understanding AI)

Aug. 2024

Keynote talk at Anomaly Detection with Foundation Models Workshop, IJCAI 2024

Jul. 2024

Paper accepted in ECCV 2024

Jun. 2024

Prof. Lee serves IEEE Trans. Multimedia as an Associate Editor

Feb. 2024

Paper accepted in CVPR 2024

Lab environment
Research activities
Team collaboration