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]
2013.03 We are preparing to run the ImageNet Large Scale Visual Recognition Challenge 2013. This year we will be introducing an additional object detection task with 200 object categories modeled after the PASCAL VOC detection challenge. Also, check out the new Fine-Grained Classification Challenge.
2013.03 Congratulations to the 3 papers accepted for Oral presentations at CVPR 2013: (1) Deng, Krause, and Fei-Fei; (2) Ramanathan, Yao, and Fei-Fei; (3) Tang, Sukthankar, Yagnik, and Fei-Fei.
2013.02 Congratulations to the 3 Orals and 1 Poster accepted at VSS 2013: (1) Iordan, Greene, Beck, and Fei-Fei; (2) Baldassano, Beck, and Fei-Fei; (3) Greene, Beck, and Fei-Fei; (4) Botros, Greene, and Fei-Fei.
2013.02 Congratulations to the paper accepted by NeuroImage: Baldassano, Beck, and Fei-Fei.
2013.01 Congratulations to the paper accepted by ICRA 2013: Karpathy, Miller, and Fei-Fei.
Check out our newest image ontology -- ImageNet!
   
press coverage
2012.11 "Seeking a Better Way to Find Web Images", The New York Times
2012.05 Former Vison lab member Prof. Juan Carlos Niebles won the 2012 Microsoft Research Faculty Award
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 "Recognizing the brightest minds in computer science," Microsoft press release
2006.04 "Microsoft Research recognizes computer science's most promising professors with New Faculty Fellowships," Microsoft press release