Bryan Russell's publications

2017

ActionVLAD: Learning Spatio-temporal Aggregation for Action Classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, Bryan Russell
Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
project page | arXiv

PixelNet: Representation of the Pixels, by the Pixels, and for the Pixels
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, Deva Ramanan
arXiv, 2017.
project page | arXiv


2016

SURGE: Surface Regularized Geometry Estimation from a Single Image
Peng Wang, Xiaohui Shen, Bryan Russell, Scott Cohen, Brian Price, Alan Yuille
Advances in Neural Information Processing Systems (NIPS), 2016.
PDF | Supplemental

Marr Revisited: 2D-3D Alignment via Surface Normal Prediction
Aayush Bansal, Bryan C. Russell, Abhinav Gupta
Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
project page | arXiv

Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
Francisco Massa, Bryan C. Russell, Mathieu Aubry
Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
project page | arXiv


2015

Understanding Deep Features with Computer-Generated Imagery
Mathieu Aubry and Bryan C. Russell
IEEE International Conference on Computer Vision (ICCV), 2015.
project page | arXiv

Deep Classifiers from Image Tags in the Wild
Hamid Izadinia, Bryan C. Russell, Ali Farhadi, Matthew D. Hoffman, Aaron Hertzmann
Multimedia COMMONS, ACM Multimedia, 2015.
PDF | project page | arXiv

Visual geo-localization of non-photographic depictions via 2D-3D alignment
Mathieu Aubry, Bryan C. Russell, Josef Sivic
Springer book chapter on Visual Analysis and Geo-Localization of Large Scale Imagery, 2015.
PDF


2014

The 3D Jigsaw Puzzle: Mapping Large Indoor Spaces
Ricardo Martin-Brualla, Yanling He, Bryan C. Russell, Steven M. Seitz
European Conference on Computer Vision (ECCV), 2014.
PDF | project page

Seeing 3D Chairs: Exemplar Part-based 2D-3D Alignment Using a Large Dataset of CAD Models
Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, and Josef Sivic
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
PDF | project page

Painting-to-3D Model Alignment Via Discriminative Visual Elements
Mathieu Aubry, Bryan C. Russell, and Josef Sivic
ACM Transactions on Graphics (presented at SIGGRAPH 2014), Vol. 33, No. 2, 2014.
PDF | project page


2013

3D Wikipedia: Using Online Text to Automatically Label and Navigate Reconstructed Geometry
Bryan C. Russell, Ricardo Martin-Brualla, Daniel J. Butler, Steven M. Seitz, and Luke Zettlemoyer
ACM Transactions on Graphics (SIGGRAPH Asia 2013), Vol. 32, No. 6.
PDF | project page

Basic Level Scene Understanding: Categories, Attributes and Structures
Jianxiong Xiao, James Hays, Bryan C. Russell, Genevieve Patterson, Krista Ehinger, Antonio Torralba, and Aude Oliva
Frontiers in Psychology, Vol. 4, No. 506, 2013.
PDF


2012

Localizing 3D Cuboids in Single-view Images
Jianxiong Xiao, Bryan C. Russell, and Antonio Torralba
Advances in Neural Information Processing Systems (NIPS), 2012.
PDF | project page

Basic Level Scene Understanding: From Labels to Structure and Beyond
J. Xiao, B. C. Russell, J. Hays, K. A. Ehinger, A. Oliva and A. Torralba
SIGGRAPH Asia 2012. (invited paper)
PDF


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.
PDF


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 | LabelMe3D project page


2008

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

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.
PDF


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.
PDF


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.
PDF

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.
PDF


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.
PDF


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.
PDF

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