publications

Please cite all of Prof. Fei-Fei Li's papers after year 2002 under

the name L. Fei-Fei (where Fei-Fei is the last name, Li is the first name).

	D. Walther, L. Fei-Fei, and C. Koch. Measuring the cost of deploying top-down visual attention. submitted.
	L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models for 101 object categories. Computer Vision and Image Understanding	in press
	L. Fei-Fei*, A. Iyer*, C. Koch and P. Perona. What do we perceive in a glance of a real-world scene? Journal of Vision. 2006	in press
	J.C. Niebles, H. Wang, L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. Accepted for Oral Presentation at British Machine Vision Conference (BMVC) 2006. Project Page
	L. Fei-Fei. Knowledge transfer in learning to recognize visual object classes. International Conference on Development and Learning (ICDL). 2006
	G. Wang, Y. Zhang, and L. Fei-Fei. Using dependent regions for object categorization in a generative framework. IEEE Comp. Vis. Patt. Recog. 2006.
	L. Fei-Fei, R. Fergus and P. Perona. One-Shot learning of object categories. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol28(4), 594 - 611, 2006
	R. VanRullen, L. Reddy and L. Fei-Fei. Binding is local problem for natural objects and scenes. Vision Research. 45(25-26), 3133-3144. 2005
	L. Fei-Fei, R. VanRuellen, C. Koch and P. Perona. Why does natural scene categorization require little attention? Exploring attentional requirements for natural and synthetic stimuli. Visual Cognition. 12(6): pp893-924. 2005
	R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman. Learning Object Categories from Google's Image Search. IEEE Inter. Conf. Computer Vision. 2005.
	L. Fei-Fei and P. Perona. A Bayesian Hierarchical Model for Learning Natural Scene Categories. IEEE Comp. Vis. Patt. Recog. 2005
	L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories. IEEE C VPR 2004, Workshop on Generative-Model Based Vision. 2004
	L. Fei-Fei, R. Fergus, and P. Perona. A Bayesian approach to unsupervised One-Shot learning of Object categories. IEEE Inter. Conf. Computer Vision. 2003
	S. Savarese, L. Fei-Fei, and P. Perona. What do reflections tell us about the shape of a mirror? in Applied Perception in Graphics and Visualization [sponsored by ACM SIGGRAPH]. 2004
	F.F. Li, R. VanRullen, C. Koch and P. Perona. Rapid natural scene categorization in the near absence of attention. Proc. Natl. Acad. Sci. 99, 8378 - 8383, 2002.
	G.B. Stanley, F.F. Li, and Y. Dan. Reconstruction of natural scenes from ensemble responses in the LGN, Journal of Neuroscience, 19(18):8036-8042, 1999.

L. Fei-Fei. Visual recognition: computational models and human psychophysics. Caifornia Institute of Technology. Thesis. 2005

coming soon...

	J. Braun. Natural scenes upset visual applecart. Trends in Cognitive Neuroscience. vol 7 (1), pp7-9. 2003.
	R. Jones. Visual attention: now you see it?. Nature Reviews Neuroscience. vol 3, pp589, 2002.
	V. Adams and F. F. Li. Integration or erasure? Modernizing medicine at Lhasa's Mentsikhang. In L. Pordie, ed., Exploring Tibetan medicine in contemporary context: perspectives in social sciences.	in press
	F. F. Li, R. Sabella, D. Liu, editors. Nanking 1937: Memory and Healing. M.E. Sharpe. 2001.
	visit our 1997 Princeton conference website
	order on amazon.com, M.E.Sharpe, Barnes & Noble