Professor Fei-Fei Li

Assistant Professor


Prof. Fei-Fei Li is an assistant professor at the Computer Science Department, Stanford University. Her main research interest is in vision, particularly high-level visual recognition. In computer vision, Fei-Fei's interests span from object and natural scene categorization to human activity categorizations in both videos and still images. In human vision, she has studied the interaction of attention and natural scene and object recognition, and decoding the human brain fMRI activities involved in natural scene categorization by using pattern recognition algorithms. Fei-Fei graduated from Princeton University in 1999 with a physics degree. She received PhD in electrical engineering from the California Institute of Technology in 2005. From 2005 to August 2009, Fei-Fei was an assistant professor in the Electrical and Computer Engineering Department at University of Illinois Urbana-Champaign and Computer Science Department at Princeton University, respectively. Fei-Fei and her students have published in major scientific journals and top conferences, including winning a first prize in the first Semantic Visual Robot competition at AAAI 2007, a Best Paper Honorable Mention at IEEE CVPR 2010, and a first prize of the PASCAL VOC Action Challenge in 2012. Fei-Fei is a recipient of a Microsoft Research New Faculty award, a number of Google Research Awards, the Alfred Sloan Faculty Award and an NSF CAREER award. (Fei-Fei publishes using the name L. Fei-Fei.)


Computer Vision: From 3D Reconstruction to Visual Recognition