| Stella Yu | |
| Director, | ICSI Vision Group |
| Senior Fellow, | Berkeley Institute for Data Science |
| Faculty, | Computer Science and Vision Science |
| University of California, Berkeley | |
| Contact: | stellayu @ berkeley . edu |
| CS280 | Computer Vision | Spring 2017 | CS189 / 289A | Machine Learning | Fall 2017 |
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 study visual perception from multiple perspectives: human vision, computer vision, robotic vision, and artistic vision.
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.
| Zhongqi Miao, Jyh-Jing Hwang, Tsung-Wei Ke, Baladitya Yellapragada, Patrick Virtue |
| Dr. Zhirong Wu, Dr. Ziwei Liu, Dr. Sascha Hornauer, Dr. Matthias Demant |
| Jiayun Wang, Riley Edmunds, Tapabrata Chakraborty, Sebastian Palacio |
| Dr. Seyed Ali Amirshahi, Asha Anoosheh, Weiyu Zhang, Dr. Dimitri Lisin, Dr. Christina Pavlopoulou, Dr. Elena Bernardis |