Bei Xiao
American University
Assistant Professor/Lecturer
Human and machine perception of complex materials
Email hidden; Javascript is required.
I did my PhD in human color vision with Professor David Brainard at the University of Pennsylvania in the Neuroscience Graduate Group. After my PhD, to further probe the brain, I worked with Professor Alex Wade at the Smith-Kettlewell Eye Research Institute in San Francisco, where I investigated early visual processing of color and luminance signals using frequency-tagging and source-imaged EEG methods. Fascinated by the challenging problem of material perception, I did a postdoc under the supervision of Professor Ted Adelson at MIT. I joined the Department of Computer Science at American University, in 2014 where I currently lead the Computational Material Perception Laboratory. My research focuses on human and computer vision and how to apply principles of human cognition to improve robustness in artificial intelligence. Specifically, I study perception and reasoning of material properties of objects in dynamic scenes using VR, machine learning, and VR.