Research in our lab focuses on two intimately connected branches of vision research: computer vision and human vision. In both fields, we are intrigued by visual functionalities that give rise to semantically meaningful interpretations of the visual world. In computer vision, we aspire to build intelligent visual algorithms that perform important visual perception tasks such as object recognition, scene categorization, integrative scene understanding, human motion recognition, material recognition, etc. In human vision, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency.

news and events [news archive]
2012.2 Congratulations to the 2 abstracts selected for oral presentations at VSS 2012: C. Baldassano, D.M. Beck, and L. Fei-Fei; M.C. Iordan, M.R. Greene, D.M. Beck, and L. Fei-Fei.
2011.12 We released the Stanford-40 action dataset. Please check here for details.
2011.11 We released the ImageNet Dogs dataset, a dataset for subordinate classification. Please check here for details.
2011.09 The website for CS231A (former CS 223B): Introduction to Computer Vision is now live!
Check out the new image feature -- Object Bank! (Code available)
2011.02 Job openings.
2011.06 Congratulations to the 2 papers accepted by ICCV 2011.
2011.05 Congratulations to the paper accepted by PNAS 2011: Walther, Chai, Caddigan, Beck & Fei-Fei.
2011.02 Congratulations to the 3 papers accepted by CVPR 2011: Deng, Berg & Fei-Fei; Zhao, Fei-Fei & Xing; Yao, Khosla & Fei-Fei.
Check out our newest image ontology -- ImageNet!
   
press coverage
2011.05 News article about 'Mind Reading', Stanford University News.
2011.05 News article related to the ImageNet project and ImageNet Challenge:"Sorting Through Photos", Communications ACM
2007.08 News articles related to Team OPTIMOL (UIUC-Princeton) at the Semantic Robot Vision Challange: 1) New Scientist magazine (full article); 2) UIUC ECE Dept. news
2007.06 "Taking the scenic route", companion article of Princeton EQUAD News "Frontiers of Health", School of Engineering and Applied Sciences, Princeton.
2006.05.03 "Recognizing the brightest minds in computer science," Microsoft press release
2006.04.26 "Microsoft Research recognizes computer science's most promising professors with New Faculty Fellowships," Microsoft press release