Computer Vision and Machine Learning
To build a computer system that can see like we do
The image formation is a process that involves high complex interactions of objects with lights. Such understanding is a key to build a computer system that can interpret the scene presented in image and we focus on a combination of understanding and simulating scenes in images.
The major interests of our research mainly include Medical Image Analysis, Computer Vision, Pattern Recognition, Machine Learning, Image Processing in a wide range of domains such as medical imaging, object recognition systems, surface reconstruction, autonomous vehicle systems, robot vision systems, mobile vision applications and many others.
We encourage you to join us to build a better world where machine also can see.