Prof. Fei Fei Li

Plenary Lecture of the J. K. Aggarwal Prize winner of 2016 "For seminal contributions to object and event classification using learning methodologies based on statistical and neuroscience principles."

Prof. Fei Fei Li

Plenary Lecture of the J. K. Aggarwal Prize winner of 2016 "For seminal contributions to object and event classification using learning methodologies based on statistical and neuroscience principles."

Biography

I am an Associate Professor at the Computer Science Department at Stanford University. I received my Ph.D. degree from California Institute of Technology, and a B.S. in Physics from Princeton University.

I am currently the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab, where I work with the most brilliant students and colleagues worldwide to build smart algorithms that enable computers and robots to see and think, as well as to conduct cognitive and neuroimaging experiments to discover how brains see and think.

Lecture Abstract

Title: A Quest for Visual Intelligence in Computers

Abstract: It takes nature and evolution more than five hundred million years to develop a powerful visual system in humans. The journey for AI and computer vision is about fifty years. In this talk, I will briefly discuss the key ideas and the cutting edge advances in the quest for visual intelligences in computers. I will particularly focus on the latest work developed in my lab for both image and video understanding, powered by big data and the deep learning (a.k.a. neural network) architecture.

 

All session by Prof. Fei Fei Li

A Quest for Visual Intelligence in Computers

14:00 - 15:00
Gran Cancun Room T1