Associate Adjunct Professor
- Computer Science
Computer vision, machine learning, artificial intelligence, computer graphics
Lee's research group aims to create robust visual recognition systems that can understand visual data. Key directions include learning with weak or incomplete supervision, unsupervised learning, learning from video and real-time perception. Applications include image and video search, image generation for graphics and understanding animal behavior.