Welcome to Computer Vision Lab
We’re looking for strong and motivated graduate students and undergraduate interns.
If you are interested, please apply ►►► HERE.
The lab challenges unsolved real-life problems by inventing novel artificial intelligence for computer vision. To do so, our research focuses on developing innovative computer vision systems through deep learning algorithms and heterogeneous visual sensors. We also adopt machine learning to innovate visual machine intelligence.
News!
✦ 2023.10. One paper got accepted in Information Sciences(JCR IF Top 10%). Congratulations to all authors!
✦ 2023.08. One paper got accepted in BMVC 2023(Oral). Congratulations to all authors!
✦ 2023.08. One paper got accepted in Neural Networks(JCR IF Top 10%). Congratulations to all authors!
✦ 2023.07. One paper got accepted in ICCV 2023. Congratulations to all authors!
✦ 2023.07. Two paper got accepted in ICML 2023 Workshop. Congratulations to all authors!
✦ 2023.02. One paper got accepted in WWW 2023. Congratulations to all authors!
✦ 2022.09. One paper got accepted in BMVC 2022. Congratulations to all authors!
✦ 2022.07. One paper got accepted in ECCV 2022. Congratulations to all authors!
✦ 2022.03. One paper got accepted in CVPR 2022. Congratulations to all authors!
★ 2023.08. We received GCP Credit Award ($32,600) from Google Research.
★ 2023.05. Seunghyun Lee got an internship offer from Google Research, CA, USA.
★ 2023.05. Gyusam Chang got an internship offer from Samsung AIT(종합기술원).
★ 2022.06. We received Research Funding from Google Research USA.
★ 2023.01. We initiated a collaboration project with Google Research USA.
★ 2022.08. We initiated a collaboration project with Samsung Advanced Institute of Technology.
★ 2022.05. We received GCP Credit Award ($30,000) from Google Research.
★ 2021.09. We initiated a collaboration project with NVIDIA Research USA.
In the narrow scope of research, the lab is interested in the following:
– Multi-modal Generative Model
– Multi-modal Representation Learning
– Domain Generalization and Unsupervised Domain Adaptation
– Computer Vision for Autonomous Driving
– 3D Computer Vision and Inverse Graphics
– Hand Pose Estimation
– Human Computer Interaction
– Diffusion Model


Computer Vision Lab
Department of Artificial Intelligence, Korea University
603, Woojung Hall of Informatics, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841