Image Science and Technology Laboratory

Supervisor
Qiu CHEN: Professor

As you know the old saying, "A picture is worth a thousand words", visual information is the most intuitive and effective information for human being to understand the outside environment. Image recognition can be easily accomplished by humans but is extremely difficult for a computer in the past many years. In recent years, image recognition capability has been improving with techniques like Deep Learning, which is making major advances in solving problems in Artificial Intelligence (AI). Our research interests include image recognition, deep learning, computer vision, image generation, video retrieval and their applications.

Topics of research
  • Scene recognition
  • Image retrieval
  • Font generation
  • Intelligent vision system
  • Video database indexing
keyword Pattern recognition / Image retrieval / Deep learning / Image generation / Video retrieval
Original Website

Graduate School of Engineering