Stella Yu, PhD

Affiliations

Adjunct Professor, Electrical Engineering and Computer Science (EECS)
Director, Vision Group at the International Computer Science Institute
Senior Fellow, Berkeley Institute for Data Science

Research Areas

As a vision scientist, I subscribe to the view that visual perception presents not just a fascinating computational problem, but more importantly an intelligent solution for large-scale data mining and pattern recognition applications.

I am particularly interested in human vision's ingenuity and immediacy at resolving a property or region of interest from its context. The context is not a mere conglomeration of pieces, but an organized whole of interrelated elements. Only in such an organization can an object be assigned a place and be singled out from the context without relinquishing the effects of the context.

My approach to computer vision is thus about establishing parts in relation, organizing them into a whole, and singling out the aspect of interest from the whole. In modeling visual organization, I have developed new tools in spectral graph theory and machine learning to effectively uncover the relational structure of large-scale data. I have also pursued efficient representation and computation by learning from artists and exploring the connections between Art and Vision.

Selected Publications

http://www1.icsi.berkeley.edu/~stellayu/publication/index.html