Perceiving Systems
We combine research on computer vision, computer graphics, and machine learning to teach computers to see and understand humans and their behavior. A key goal is to learn digital humans.
Our research uses Computer Vision to learn digital humans that can perceive, learn, and act in virtual 3D worlds. This involves capturing the shape, appearance, and motion of real people as well as their interactions with each other and the 3D scene using monoculr video. We leverage this to learn generative models of people and their behavior and evaluate these models by synthesizing realistic looking humans behaving in virtual worlds.
This work combines Computer Vision, Machine Learning, and Computer Graphics.
