Bryan C. Russell Postdoctoral Fellow INRIA WILLOW Team Département d'Informatique École Normale Supérieure Contact: DI - École Normale Supérieure 45, rue d'Ulm 75230 Paris Cedex 05 France

	Segmenting Scenes by Matching Image Composites B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman To appear at Advances in Neural Information Processing Systems (NIPS), 2009.
	LabelMe video: Building a Video Database with Human Annotations J. Yuen, B. C. Russell, C. Liu, and A. Torralba IEEE International Conference on Computer Vision (ICCV), 2009.
	LabelMe: online image annotation and applications A. Torralba, B. C. Russell, and J. Yuen MIT CSAIL Technical Report, 2009.
	Building a Database of 3D Scenes from User Annotations B. C. Russell and A. Torralba IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. Project page   Download LabelMe3D database   Source code
	LabelMe: a Database and Web-based Tool for Image Annotation B. C. Russell, A. Torralba, K. P. Murphy, W. T. Freeman International Journal of Computer Vision, 77(1-3):157-173, 2008. Project page
	Unsupervised Discovery of Visual Object Class Hierarchies J. Sivic, B. C. Russell, A. Zisserman, W. T. Freeman, and A. A. Efros. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
	Object Recognition by Scene Alignment B. C. Russell, A. Torralba, C. Liu, R. Fergus, W. T. Freeman Advances in Neural Information Processing Systems (NIPS), 2007. Project page
	Using Multiple Segmentations to Discover Objects and their Extent in Image Collections B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. Project page and source code
	Discovering Objects and their Location in Images J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, W. T. Freeman International Conference on Computer Vision (ICCV), 2005.

Labeling, Discovering, and Detecting Objects in Images
B. C. Russell
Doctoral Thesis, Massachusetts Institute of Technology, 2008.

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.
In Toward Category-Level Object Recognition. Springer-Verlag Lecture Notes in Computer Science, J. Ponce, M. Hebert, C. Schmid, and A. Zisserman (eds.), 2006.

Discovering object categories in image collections
J. Sivic, B. C. Russell, A. A. Efros, A. Zisserman, W. T. Freeman
MIT AI Lab Memo AIM-2005-005, February, 2005.

Efficient Graphical Models for Processing Images
M. F. Tappen, B. C. Russell, and W. T. Freeman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004.

Exploiting the sparse derivative prior for super-resolution and image demosaicing
M. F. Tappen, B. C. Russell, and W. T. Freeman
3rd Intl. Workshop on Statistical and Computational Theories of Vision (associated with ICCV), 2003.

Exploiting the Sparse Derivative Prior for Super-Resolution
B. C. Russell
Master's Thesis, Massachusetts Institute of Technology, 2003.