2009

	Supervised Learning of Quantizer Codebooks by Information Loss Minimization. S. Lazebnik and M. Raginsky. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, no. 7, July 2009, pp. 1294-1309.
	An Empirical Bayes Approach to Contextual Region Classification. S. Lazebnik and M. Raginsky. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009.

2008

	Spatial Pyramid Matching. S. Lazebnik, C. Schmid, and J. Ponce. Object Categorization: Computer and Human Vision Perspectives. S. Dickinson, A. Leonardis, B. Schiele, and M. Tarr (eds.), Cambridge University Press. Accepted.
	Near-Minimax Recursive Density Estimation on the Binary Hypercube. M. Raginsky, S. Lazebnik, R. Willett, and J. Silva. Advances in Neural Information Processing Systems, 2008.
	Analysis of Human Attractiveness Using Manifold Kernel Regression. B. Davis and S. Lazebnik. Proceedings of the IEEE International Conference on Image Processing (Special Session on Aesthetics, Mood, and Emotion), 2008.
	Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. X. Li, C. Wu, C. Zach, S. Lazebnik and J.-M. Frahm. Proceedings of the European Conference on Computer Vision, 2008.
	Computing Iconic Summaries for General Visual Concepts. R. Raguram and S. Lazebnik. First IEEE Workshop on Internet Vision (held in conjunction with CVPR), 2008.

2007

	Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. S. Lazebnik and M. Raginsky. International Conference on Artificial Intelligence and Statistics, 2007.
	Projective Visual Hulls. S. Lazebnik, Y. Furukawa, and J. Ponce. International Journal of Computer Vision, vol. 74, no. 2, August 2007, pp. 137-165.
	Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 3, March 2007, pp. 477-491.
	Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study. J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. International Journal of Computer Vision, vol. 73, no. 2, June 2007, pp. 213-238.

2006

	Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York, June 2006, vol. II, pp. 2169-2178.
	Local, Semi-Local and Global Models for Texture, Object and Scene Recognition. Ph.D. Dissertation, May 2006 (also Beckman CVR Technical Report 2006-01).
	3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. International Journal of Computer Vision, vol. 66, no. 3, March 2006, pp. 231-259.
	Dataset Issues in Object Recognition. J. Ponce, T. L. Berg, M. Everingham, D. A. Forsyth, M. Hebert, S. Lazebnik, M. Marszalek, C. Schmid, B. C. Russell, A. Torralba, C. K. I. Williams, J. Zhang, and A. Zisserman. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science vol. 4170. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman (eds.), 2006, pp. 29-48.
	A Discriminative Framework for Texture and Object Recognition Using Local Image Features. S. Lazebnik, C. Schmid, and J. Ponce. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science vol. 4170. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman (eds.), 2006, pp. 423-442.
	3D Object Modeling and Recognition from Photographs and Image Sequences. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science vol. 4170. J. Ponce, M. Hebert, C. Schmid, and A. Zisserman (eds.), 2006, pp. 105-126.
	Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization. M. Raginsky and S. Lazebnik. Advances in Neural Information Processing Systems 18, MIT Press, 2006, pp. 1105-1112.

2005

	A Maximum Entropy Framework for Part-Based Texture and Object Recognition. S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE International Conference on Computer Vision, Beijing, China, October 2005, vol. 1, pp. 832-838.
	A Sparse Texture Representation Using Local Affine Regions. S. Lazebnik, C. Schmid, and J. Ponce. IEEE Transactions on Pattern Analysis and Machine Intelligence, August 2005, vol. 27, no. 8, pp. 1265-1278.
	The Local Projective Shape of Smooth Surfaces and Their Outlines. S. Lazebnik and J. Ponce. International Journal of Computer Vision, June 2005, vol. 63, no. 1, pp. 65-83.
	Pattern Recognition with Local Invariant Features. C. Schmid, G. Dorko, S. Lazebnik, K. Mikolajczyk, and J. Ponce. Handbook of Pattern Recognition and Computer Vision, 3rd edition. C.H. Chen and P.S.P Wang editors, World Scientific Publishing Co., 2005, pp. 71-92.

2004

	Semi-Local Affine Parts for Object Recognition. S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the British Machine Vision Conference, Kingston, UK, September 2004, vol. 2, pp. 959-968.
	Segmenting, Modeling, and Matching Video Clips Containing Multiple Moving Objects. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Washington, DC, June 2004, vol. 2, pp. 914-921.
	Toward True 3D Object Recognition. J. Ponce, S. Lazebnik, F. Rothganger, and C. Schmid. Congrès de Reconnaissance des Formes et Intelligence Artificielle, Toulouse, France, January 2004.

2003

	Affine-Invariant Local Descriptors and Neighborhood Statistics for Texture Recognition. S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE International Conference on Computer Vision, Nice, France, October 2003, pp. 649-655.
	The Local Projective Shape of Smooth Surfaces and Their Outlines. S. Lazebnik and J. Ponce. Proceedings of the IEEE International Conference on Computer Vision, Nice, France, October 2003, pp. 83-89.
	A Sparse Texture Representation Using Affine-Invariant Regions. S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, June 2003, Vol. II, pp. 319-324.
	3D Object Modeling and Recognition Using Affine-Invariant Patches and Multi-View Spatial Constraints. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Madison, WI, June 2003, Vol. II, pp. 272-277.
	3D Photography from Photographs and Video Clips. J. Ponce, F. Rothganger, S. Lazebnik, K. McHenry, C. Schmid, S. Mahamud, and M. Hebert. Proceedings of the International Symposium on Core Research for Evolutional Science, Technology (CREST) --- Ikeuchi Project, Tokyo, Japan, 2003, pp. 153-182.

2002

	Projective Visual Hulls. M.S. Thesis, December 2002 (also Beckman CVR Technical Report 2002-01).
	On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes. S. Lazebnik, A. Sethi, C. Schmid, D. Kriegman, J. Ponce and M. Hebert. Proceedings of the European Conference on Computer Vision, Copenhagen, Denmark, May 2002. Springer-Verlag Lecture Notes in Computer Science 2352, pp. 651-665.

2001

	On Computing Exact Visual Hulls of Solids Bounded by Smooth Surfaces. S. Lazebnik, E. Boyer, and J. Ponce. Proceedings of the 2001 IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, Vol. 1, pp. 156-161.