publications

(please cite using L. Fei-Fei)

 

refereed journal and conferences	(2009, 2008, 2007, 2006, 2005, 2004 & before)
Ph.D. thesis
conference abstracts
selected talks
others

refereed journals and conferences
	2009
		B. Yao, D.B. Walther, D.M. Beck*, L. Fei-Fei*. Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions. NIPS 2009. (* indicates equal contribution) PDF
		B. Chai†, D.B. Walther†, D.M. Beck*, L. Fei-Fei*. Exploring Functional Connectivity of the Human Brain using Multivariate Information Analysis. NIPS 2009. (†,* indicates equal contribution) PDF
		Li-Jia Li and Li Fei-Fei. OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. International Journal of Computer Vision (IJCV), 2009. PDF
		H. Su*, M. Sun*, L. Fei-Fei and S. Savarese. Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. International Conference on Computer Vision (ICCV), 2009. (Oral) (* indicates equal contribution). PDF BibTex
		Peelen, Marius V. and Fei-Fei, Li and Kastner, Sabine. Neural mechanisms of rapid natural scene categorization in human visual cortex. Nature 2009, http://dx.doi.org/10.1038/nature08103, doi:10.1038/nature08103. PDF  BibTex
		D.B. Walther, E. Caddigan, L. Fei-Fei*, D.M. Beck*. Natural scene categories revealed in distributed patterns of activity in the human brain. Journal of Neuroscience, August 26, 2009, 29(34):10573-10581; doi:10.1523/JNEUROSCI.0559-09.2009 (* indicates equal contribution) PDF
		L.-J. Li, R. Socher and L. Fei-Fei. Towards Total Scene Understanding:Classification, Annotation and Segmentation in an Automatic Framework. Computer Vision and Pattern Recognition (CVPR) 2009. (Oral) PDF  BibTex  Slides
		Chong Wang, David Blei and L. Fei-Fei. Simultaneous Image Classification and Annotation. Computer Vision and Pattern Recognition (CVPR) 2009. PDF  BibTex  Code
		J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database.Computer Vision and Pattern Recognition (CVPR) 2009. PDF  BibTex
		*M. Sun, *H. Su, S. Savarese and L. Fei-Fei. A Multi-View Probabilistic Model for 3D Object Classes. Computer Vision and Pattern Recognition (CVPR) 2009. (*indicates equal contributions) PDF BibTex
	2008
		J.C. Niebles, B. Han, A. Ferencz and L. Fei-Fei. Extracting Moving People from Internet Videos. European Conference on Computer Vision (ECCV) 2008. PDF  BibTex  Poster
		B.Collins, J. Deng, L. Kai and L. Fei-Fei. Towards scalable dataset construction: An active learning approach. European Conference on Computer Vision (ECCV) 2008. PDF  BibTex
		S.Savarese and L. Fei-Fei. View synthesis for recognizing unseen poses of object classes. European Conference on Computer Vision (ECCV) 2008. PDF  BibTex
		J.C. Niebles, H. Wang and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision. 79(3): 299-318. 2008. PDF  BibTex Poster
		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  BibTex
	2007
		S. Savarese and L. Fei-Fei. 3D generic object categorization, localization and pose estimation. IEEE Intern. Conf. in Computer Vision (ICCV). 2007. PDF  BibTex
		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  BibTex Poster
		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  BibTex Poster
		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  BibTex
		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  BibTex Poster
		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  BibTex Poster
		L. Fei-Fei, R. Fergus and P. Perona. Learning generative visual models for 101 object categories. Computer Vision and Image Understanding. 2007. PDF  BibTex
		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  BibTex
	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)  BibTex   Poster
		L. Fei-Fei. Knowledge transfer in learning to recognize visual object classes. International Conference on Development and Learning (ICDL). 2006. PDF  BibTex
		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  BibTex  Poster
		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  BibTex
	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  BibTex
		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  BibTex
		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  BibTex
		L. Fei-Fei and P. Perona. A Bayesian Hierarchical Model for Learning Natural Scene Categories. IEEE Comp. Vis. Patt. Recog. 2005. PDF  BibTex
	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 CVPR 2004, Workshop on Generative-Model Based Vision. 2004. PDF  BibTex
		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  BibTex
		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  BibTex
		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  BibTex
		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  BibTex

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

conference abstracts
2008
		Walther, D., Caddigan, E., Fei-Fei, L. Beck, D. M. (2008). The neural representation of natural scene categories. Talk at the Society for Neurosciences, Washington, DC.
		Caddigan, E., Walther, D., Fei-Fei, L., & Beck, D.M. (2008) Decoding scene categories using distributed patterns of fMRI activity. Poster presentation at European Conference on Visual Perception, Utrecht, Netherlands.rlands
		Caddigan, E., Walther, D., Fei-Fei, L., & Beck, D.M. (2008). Decoding of natural scene categories from transformed images using distributed patterns of fMRI activity. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
		Walther, D., Caddigan, E., Beck, D, Fei-Fei, L. (2008) Decoding Perceived Natural Scene Categories from fMRI Activity in PPA and RSC, Computational and Systems Neuroscience, Salt Lake City, Utah.
2007
		Walther, D., Caddigan, E., Birgiolas, J., Weissman, J., Fei-Fei, L. Beck, D. (2007). Predicting perceived natural scene categories from distributed patterns of fMRI activity, CVR summer conference, Toronto, Canada, 2007.
		Walther, D., Caddigan, E., Birgiolas, J., Weissman, J., Fei-Fei, L. Beck, D. (2007).  Predicting perceived natural scene categories from distributed patterns of fMRI activity.  Talk presented at the Annual meeting of the Organization for Human Brain Mapping, Chicago, Illinois.
		Caddigan, E., Walther, D., Birgiolas, J., Weissman, J., Beck, D., Fei-Fei, L. (2007). Decoding distributed patterns of activity associated with natural scene categories. Talk presented at the Annual meeting of the Vision Sciences Society, Sarasota, Florida.
		D. B. Walther, E. Caddigan, J. Birgiolas, L. Fei-Fei and D. Beck. Decoding distributed patterns of activity associated with natural scene categorization. 13th Annual Meeting of Human Brain Mapping. Chicago, June 10-14, 2007.
		E. Caddigan, D. B. Walther, J. Birgiolas, J. Weissman, D. Beck, L. Fei-Fei. Decoding distributed patterns of activity associated with natural scene categorization. Vision Sciences Society, Sarasota, May, 2007.
2006 & before
		D. Walther, L. Fei-Fei, and K. Koch. Measuring the cost of deploying visual attention. Vision Sciences Society, Sarasota, May, 2006.
		Fei-Fei, L., Iyer, A., Koch, C and Perona, P. What do we see when we glance at a scene? Vision Sciences Society, Sarasota, April, 2004.
		Fei-Fei, L., VanRullen, R., Koch, C. and Perona, P. Natural scene categorization in the near absence of attention: further explorations. Proceedings of the Vision Sciences Society annual meeting, Sarasota, April, 2003.
		S. Savarese, L. Fei-Fei, and P. Perona. Can we see the shape of a mirror? Proceedings of the Vision Sciences Society annual meeting, Sarasota, April, 2003.
		VanRullen, R., Reddy, L., Fei-Fei, L., Perona, P. & Koch, C. A neural framework for visual search and attention. Munich Visual Search Symposium, Munich, Germany. 2003.
		Fei-Fei. Li, R. VanRullen, C. Koch & P. Perona. Rapid natural scene categorization in the near absence of attention. Proceedings of the Vision Sciences Society annual meeting, Sarasota, 2002.
		Fei-Fei, L., VanRullen, R., Koch, C. & Perona, P. Rapid natural scene categorization without attention. Society for Neuroscience meeting, San Diego (California, USA). 2001.

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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