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Welcome to Computer Vision Lab

The lab challenges unsolved real-life problems by inventing novel artificial intelligence for computer vision. To do so, we research developing innovative computer vision systems through deep learning algorithms and heterogeneous visual sensors. We also adopt machine learning to innovate visual machine intelligence. In the narrow scope of research, the lab is interested in the following:

We’re looking for strong and motivated graduate students and undergraduate interns with interest in Computer Vision.
Please contact the faculty if you are interested in getting involved.

  • Multi-modal Generative Model
  • Multi-modal Representation Learning
  • Domain Generalization and Domain Adaptation
  • Computer Vision for Autonomous Driving
  • 3D Computer Vision and Inverse Graphics
  • Dynamic Vision Sensor
  • Moire Removal
  • Face Tracking, Detection, Landmark Prediction

News!
✦ 2022.09 One paper got accepted at BMVC 2022. Congratulations to all authors
✦ 2022.07 One paper got accepted at ECCV 2022. Congratulations to all authors
✦ 2022.03 One paper got accepted at CVPR 2022. Congratulations to all authors
✦ 2021.09 Two papers got accepted at NeurIPSW 2021. Congratulations to all authors

★ 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

  • Sound-Guided Semantic Image Manipulation(CVPR2022)
  • ORA3D: Overlap Region Aware Multi-view 3D Object Detection(BMVC2022)
  • Sound-Guided Semantic Video Generation(ECCV2022))
  • SMGNN: Self-Supervised Multimodal Graph Neural Network for Recommender Systems(2022)

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