JOURNAL PAPERS

	Supervised Learning of Quantizer Codebooks by Information Loss Minimization. S. Lazebnik and M. Raginsky. Accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
	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 Classifcation 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.
	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.
	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.

INVITED PAPERS AND BOOK CHAPTERS

	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.
	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.
	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.
	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.

REFEREED CONFERENCE PAPERS

	Learning Nearest-Neighbor Quantizers from Labeled Data by Information Loss Minimization. S. Lazebnik and M. Raginsky. International Conference on Artificial Intelligence and Statistics, 2007.
	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.
	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.
	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.
	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.
	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.
	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.
	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.

THESES

	Local, Semi-Local and Global Models for Texture, Object and Scene Recognition. Ph.D. Dissertation, May 2006 (also Beckman CVR Technical Report 2006-01).
	Projective Visual Hulls. M.S. Thesis, December 2002 (also Beckman CVR Technical Report 2002-01).