Stanford Vision Lab; Prof. Fei-Fei Li

publications

(please cite using L. Fei-Fei)

journals, conferences and book chapters	(2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004 & before)
Ph.D. thesis
conference abstracts
selected talks
others

journals, conferences and book chapters
2012
	G. Kim, L. Fei-Fei, and E. Xing. Web Image Prediction Using Multivariate Point Processes. The 18th ACM Conference on Knowledge Discovery and Data Mining (KDD). 2012. PDF BibTex
	H. Su, A. Yu, and L. Fei-Fei. Efficient Euclidean Projections onto the Intersection of Norm Balls. International Conference on Machine Learning (ICML). 2012. PDF BibTex (* indicates equal contribution)
	B. Yao, G. Bradski, and L. Fei-Fei. A Codebook-Free and Annotation-Free Approach for Fine-Grained Image Categorization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012. PDF BibTex.
	K. Tang, L. Fei-Fei, and D. Koller. Learning Latent Temporal Structure for Complex Event Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012. BibTex.
	J. Deng, J. Krause, A. Berg, and L. Fei-Fei. Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012. PDF Supplemental Material BibTex.
	B. Yao and L. Fei-Fei. Recognizing Human Actions in Still Images by Modeling the Mutual Context of Objects and Human Poses. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI). 2012. In press, preliminary PDF.
2011
	J. Deng, S. Satheesh, A. C. Berg, and L. Fei-Fei. Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition. Proceedings of the Neural Information Processing Systems (NIPS). 2011. PDF, BibTex.
	B. Zhao, L. Fei-Fei and E. Xing. Large-Scale Category Structure Aware Image Categorization. Proceedings of the Neural Information Processing Systems (NIPS). 2011. PDF, BibTex.
	B. Yao, X. Jiang, A. Khosla, A.L. Lin, L.J. Guibas, and L. Fei-Fei. Human Action Recognition by Learning Bases of Action Attributes and Parts. International Conference on Computer Vision (ICCV). 2011. (Oral) PDF, BibTex, [slides], [Video Talk], [Stanford-40 Action Dataset]
	G. Kim, E.P. Xing, L. Fei-Fei, and T. Kanade. Distributed cosegmentation vis submodular optimization on anisotropic diffusion. International Conference on Computer Vision (ICCV). 2011. (Oral) PDF, Supplementary materials, Code, BibTex
	M. Savva, N. Kong, A. Chhajta, L. Fei-Fei, M. Agrawala, and J. Heer. ReV ReVision: Automated Classification, Analysis and Redesign of Chart Imagesision: Automated Classification, Analysis and Redesign of Chart Images. ACM Symposium on User Interface Software and Technology (UIST). 2011. PDF, BibTex
	B. Yao, A. Khosla, and L. Fei-Fei. Classifying Actions and Measuring Action Similarity by Modeling the Mutual Context of Objects and Human Poses. International Conference on Machine Learning (ICML). 2011. PDF, BibTex
	D. B. Walther, B. Chai, E. Caddigan, D. M. Beck and L. Fei-Fei. Simple line drawings suffice for functional MRI decoding of natural scene categories. Proc. Nat. Acad. of Sci (PNAS). 2011. doi: 10.1073/pnas.1015666108, vol. 108 (no. 23): pp9661-9666. 2011. PDF, BibTex
	J. Deng, A. Berg, and L. Fei-Fei. Hierarchical Semantic Indexing for Large Scale Image Retrieval. IEEE Computer Vision and Pattern Recognition (CVPR). 2011. PDF Supplementary materials BibTex
	B. Yao, A. Khosla, and L. Fei-Fei. Combining Randomization and Discrimination for Fine-Grained Image Categorization. IEEE Computer Vision and Pattern Recognition (CVPR). 2011. PDF, BibTex (* indicates equal contribution)
	B. Zhao, L. Fei-Fei, and E.P. Xing, Online Detection of Unusual Events in Videos via Dynamic Sparse Coding. IEEE Computer Vision and Pattern Recognition (CVPR). 2011. PDF, BibTex
2010
	L.-J. Li, H. Su, E.P. Xing and L. Fei-Fei. Object Bank: A High-Level Image Representation for Scene Classification and Semantic Feature Sparsification. Proceedings of the Neural Information Processing Systems (NIPS). 2010. PDF, BibTex, Code (* indicates equal contribution)
	J. Zhu, L.-J. Li, L. Fei-Fei and E.P. Xing. Large Margin Learning of Upstream Scene Understanding Models. Proceedings of the Neural Information Processing Systems (NIPS). 2010. PDF, BibTex, Appendix
	J. Deng, A. Berg, K. Li and L. Fei-Fei. What does classifying more than 10,000 image categories tell us? Proceedings of the 12th European Conference of Computer Vision (ECCV). 2010. PDF, Category lists, BibTex,
	J. C. Niebles, C.-W. Chen and L. Fei-Fei. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification. Proceedings of the 12th European Conference of Computer Vision (ECCV). 2010. (Oral) PDF, PPTX (without videos), PPTX (with videos), BibTex, Project Page
	B. Zhao, L. Fei-Fei and E. P. Xing. Image Segmentation with Topic Random Fields. Proceedings of the 12th European Conference of Computer Vision (ECCV). 2010. PDF, BibTex
	L.J. Li, H. Su, Y. Lim and L. Fei-Fei, Objects as Attributes for Scene Classification. Proceedings of the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010. PDF, BibTex, Code (* indicates equal contribution)
	O. Russakovsky and L. Fei-Fei, Attribute Learning in Large-scale Datasets. Proceedings of the 12th European Conference of Computer Vision (ECCV), 1st International Workshop on Parts and Attributes. 2010. PDF (updated), BibTex, slides, data (updated)
	R. Fergus, L. Fei-Fei, P. Perona and A. Zisserman. Learning object categories from Internet image searches. Proc. Of IEEE, Special Issue on Internet Vision. Vol 98/8. 2010. PDF, BibTex
	L. Fei-Fei and L.-J. Li. What, Where and Who? Telling the Story of an Image by Activity Classification, Scene Recognition and Object Categorization. Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010, Springer, 2010. PDF, BibTex
	S. Savarese, and L. Fei-Fei. Multi-view Object Categorization and Pose Estimation. Book chapter in "Studies in Computational Intelligence- Computer Vision". Volume 285/2010, Springer, 2010.PDF, BibTex
	D. B. Walther, D. M. Beck, and L. Fei-Fei. To err is human: investigating neural function by correlating error patterns with human behavior. In: Nikolaus Kriegeskorte and Gabriel Kreiman (eds.), Understanding visual population codes – Toward a common multivariate framework for cell recording and functional imaging, MIT Press, Cambridge, Massachusetts. 2010. PDF, BibTex
	B. Yao and L. Fei-Fei. Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. (Oral) PDF BibTex full version slides video talk PPMI dataset
	B. Yao and L. Fei-Fei. Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. (Oral) Winner of Best Paper Honorable Mention PDF BibTex full version slides video talk data annotation
	Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei and Li Fei-Fei. Building and Using a Semantivisual Image Hierarchy. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. (* indicates equal contribution) PDF BibTex
	J. C. Niebles, B. Han and L. Fei-Fei. Efficient Extraction of Human Motion Volumes by Tracking. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. PDF BibTex
	R. Socher and L. Fei-Fei. Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora. IEEE Computer Vision and Pattern Recognition (CVPR). 2010. PDF BibTex
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, BibTex
	L.-J. Li and L. Fei-Fei. OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. International Journal of Computer Vision (IJCV), 2009. PDF, BibTex
	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, https://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, BibTex
	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, https://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, https://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

2012

C. Baldassano, D.M. Beck, L. Fei-Fei (2012). Neural Representation of Human-Object Interactions. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.

M.C. Iordan, M.R. Greene, D.M. Beck, L. Fei-Fei. (2012). Neural Representations of Object Categories at Multiple Taxonomic Levels. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.

2011

C. Baldassano, M.C. Iordan, D.M. Beck, L. Fei-Fei. (2011). Decoding objects undergoing contextual violations Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.

M.C. Iordan, C. Baldassano, D.B. Walther, D.M. Beck, L. Fei-Fei. (2011). Translation Invariance of Natural Scene Categories. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.

Caddigan, E., Fei-Fei, L., Beck, D. M. (2011). Natural scenes are robust to bubbling. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.

2010

E. Caddigan, D.B. Walther, L. Fei-Fei, D.M. Beck. (2010). Perceptual differences between natural scene categories. Talk presented at OPAM, St.Louis,Missouri.

E. Caddigan, D.B. Walther, L. Fei-Fei, D.M. Beck. (2010). The Good, the Bad, and the Scrambled: A Perceptual Advantage for Good Examples of Natural Scene Categories. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.

D.B. Walther, B.Chai, E. Caddigan, D.M. Beck, L. Fei-Fei. (2010). fMRI Decoding of Natural Scene Categories from Line Drawings. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.

2009

Caddigan, E, Walther, D., Beck, D.M., Fei-Fei, L. (2009). Finding “good” features for natural scene classification. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.

Torralbo, A., Chai, B., Caddigan, E., Walther, D., Beck, D.M., Fei-Fei, L. (2009). Categorization of good and bad examples of natural scene categories. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.

Walther, D., Caddigan, Beck, D.M., Fei-Fei, L. (2009). Searchlight analysis reveals brain areas involved in scene categorization. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.

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.

visit our 1997 Princeton conference website

order on amazon.com, M.E.Sharpe, Barnes & Noble

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

conference abstracts
2012
		C. Baldassano, D.M. Beck, L. Fei-Fei (2012). Neural Representation of Human-Object Interactions. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.
		M.C. Iordan, M.R. Greene, D.M. Beck, L. Fei-Fei. (2012). Neural Representations of Object Categories at Multiple Taxonomic Levels. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.
2011
		C. Baldassano, M.C. Iordan, D.M. Beck, L. Fei-Fei. (2011). Decoding objects undergoing contextual violations Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
		M.C. Iordan, C. Baldassano, D.B. Walther, D.M. Beck, L. Fei-Fei. (2011). Translation Invariance of Natural Scene Categories. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.
		Caddigan, E., Fei-Fei, L., Beck, D. M. (2011). Natural scenes are robust to bubbling. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
2010
		E. Caddigan, D.B. Walther, L. Fei-Fei, D.M. Beck. (2010). Perceptual differences between natural scene categories. Talk presented at OPAM, St.Louis,Missouri.
		E. Caddigan, D.B. Walther, L. Fei-Fei, D.M. Beck. (2010). The Good, the Bad, and the Scrambled: A Perceptual Advantage for Good Examples of Natural Scene Categories. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.
		D.B. Walther, B.Chai, E. Caddigan, D.M. Beck, L. Fei-Fei. (2010). fMRI Decoding of Natural Scene Categories from Line Drawings. Talk presented at the Vision Sciences Society Annual Meeting, Naples,Florida.
2009
		Caddigan, E, Walther, D., Beck, D.M., Fei-Fei, L. (2009). Finding “good” features for natural scene classification. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
		Torralbo, A., Chai, B., Caddigan, E., Walther, D., Beck, D.M., Fei-Fei, L. (2009). Categorization of good and bad examples of natural scene categories. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
		Walther, D., Caddigan, Beck, D.M., Fei-Fei, L. (2009). Searchlight analysis reveals brain areas involved in scene categorization. Poster Presentation at the Vision Sciences Society Annual Meeting, Naples,Florida.
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.

		visit our 1997 Princeton conference website

		order on amazon.com, M.E.Sharpe, Barnes & Noble