publications

(please cite using L. Fei-Fei)

refereed journals and conferences
2008		J.C. Niebles, H. Wang and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision. in press PDF
		S. Savarese, A. Del Pozo, J.C. Niebles and L. Fei-Fei. Spatial-temporal correlations for unsupervised action classification. IEEE Workshop on Motion and Video Computing. Copper Mountain, Colorado, 2008. PDF
2007		S. Savarese and L. Fei-Fei. 3D generic object categorization, localization and pose estimation. IEEE Intern. Conf. in Computer Vision (ICCV). 2007. PDF
		L.-J. Li and L. Fei-Fei. What, where and who? Classifying event by scene and object recognition . IEEE Intern. Conf. in Computer Vision (ICCV). 2007. PDF
		L. Cao and L. Fei-Fei. Spatially coherent latent topic model for concurrent object segmentation and classification . IEEE Intern. Conf. in Computer Vision (ICCV). 2007. PDF
		D. Walther and L. Fei-Fei. (2007). Task-set switching with natural scenes: Measuring the cost of deploying top-down attention. Journal of Vision, 7(11):9, 1-12, http://journalofvision.org/7/11/9/, doi:10.1167/7.11.9. PDF
		L.-J. Li, G. Wang and L. Fei-Fei. OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning. IEEE Computer Vision and Pattern Recognition (CVPR). 2007. PDF
		J. C. Niebles and L. Fei-Fei. A hierarchical model model of shape and appearance for human action classification. IEEE Computer Vision and Pattern Recognition (CVPR). 2007. PDF
		L. Fei-Fei, R. Fergus and P. Perona. Learning generative visual models for 101 object categories. Computer Vision and Image Understanding. 2007. PDF
		Fei-Fei, L., Iyer, A., Koch, C., & Perona, P. (2007). What do we perceive in a glance of a real-world scene? Journal of Vision, 7(1):10, 1-29, http://journalofvision.org/7/1/10/, doi:10.1167/7.1.10. PDF
2006		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. PDF (Project Page)
		L. Fei-Fei. Knowledge transfer in learning to recognize visual object classes. International Conference on Development and Learning (ICDL). 2006. PDF
		G. Wang, Y. Zhang, and L. Fei-Fei. Using dependent regions for object categorization in a generative framework. IEEE Comp. Vis. Patt. Recog. 2006. PDF
		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. PDF
2005		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. PDF
		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. PDF
		R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman. Learning Object Categories from Google's Image Search. IEEE Inter. Conf. Computer Vision. 2005. PDF
		L. Fei-Fei and P. Perona. A Bayesian Hierarchical Model for Learning Natural Scene Categories. IEEE Comp. Vis. Patt. Recog. 2005. PDF
2004 & before		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. PDF
		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. PDF
		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. PDF
		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. PDF
		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. PDF

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

conference abstracts
	coming soon...

selected talks
2007.05	Discovering meaning in the visual world	CV seminar, MIT
2006.09	Unsupervised learning of human action categories using spatial-temporal words	CMU, VASC Seminar Series
2006.03	From Hollywood to national security: what is computer vision about?	UIUC
2006.02	Natural scene categorization: from humans to computers	SUNS07, MIT
2005.12	Learning to categorize real-world scenes and objects	Princeton U., Sarnoff, Siemens
2005.05	A Bayesian hierarchical model for natural scene categorization	MSR Cambridge, Oxford U.
2004.02	One-shot learning of object categories	Brown U.
2003.12	One-shot learning of object categories	NYU
2003.10	Natural scene categorization in the near absence of attention	Louvein U., Belgium
2003.05	Object categorization	UCLA
2003.02	Natural scene categorization without attention	MIT
2002.12	Natural scene categorization in the near absence of attention	CNRS, France

others (news, books, etc.)
		J. Braun. Natural scenes upset visual applecart. Trends in Cognitive Neuroscience. vol 7 (1), pp7-9. 2003. PDF
		R. Jones. Visual attention: now you see it? Nature Reviews Neuroscience. vol 3, pp589, 2002. PDF
		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.
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