Bryan C. Russell's publications

2011

Automatic Alignment of Paintings and Photographs Depicting a 3D Scene
B. C. Russell, J. Sivic, J. Ponce, and H. Dessales
3rd International IEEE Workshop on 3D Representation for Recognition (3dRR-11), associated with ICCV 2011.
PDF | project page

2010

LabelMe: Online Image Annotation and Applications
A. Torralba, B. C. Russell, and J. Yuen
Proceedings of the IEEE, 98(8):1467-1484, 2010.
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2009

Segmenting Scenes by Matching Image Composites
B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman
Advances in Neural Information Processing Systems (NIPS), 2009.
PDF | project page

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.
PDF | project page | video collection challenge

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.
PDF | project page | LabelMe3D database | source code

2008

Labeling, Discovering, and Detecting Objects in Images
B. C. Russell
Doctoral Thesis, Massachusetts Institute of Technology, 2008.
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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.
PDF | 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.
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2007

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.
PDF | project page

2006

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.
PDF | project page

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.
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2005

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.
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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.
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2004

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.
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2003

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