New York University Arts and Science Arts and Sciences
Arts & Science > Policies and Procedures > Browse by Office > Office of the Associate Dean > Rob Fergus
Rob FergusPrinter Friendly Printer Friendly

Assistant Professor of Computer Science

Email:

Personal Homepage: http://cs.nyu.edu/%7Efergus/

Research Interests:

Computer Vision, Machine Learning and Computer Graphics.

Selected Works:

Journal papers

Image and Depth from a Conventional Camera with a Coded Aperture
Levin, A., Fergus, R., Durand, F. and Freeman, W.T.
ACM Trans. on Graphics, (Proc. SIGGRAPH 2007).

Removing Camera Shake From A Single Photograph
Fergus, R., Singh, B., Hertzmann A., Roweis, S. T. and Freeman, W.T.
ACM Trans. on Graphics, Vol. 25, Issue 3, pp. 787-794, (Proc. SIGGRAPH 2006).

Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
Fergus, R. , Perona, P. and Zisserman, A.
International Journal of Computer Vision, Vol. 71(3), 273-303, March 2007.

Learning Generative Visual Models for 101 Object Categories
L. Fei-Fei, R. Fergus, and P. Perona.
Computer Vision and Image Understanding, in print, 2006.

One-Shot Learning of Object Categories   
L. Fei-Fei, R. Fergus and P. Perona.
IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 28(4), 594 - 611, 2006.

Conference papers

Small Codes and Large Image Databases for Recognition
Torralba, A. , Fergus, R. and Weiss, Y.
Proc. of the IEEE Conf on Computer Vision and Pattern Recognition 2008.

Object Recognition by Scene Alignment
Russell, B. , Torralba, A. , Liu, C. , Fergus, R. and Freeman, W.T.
Proc. Neural Information Processing Systems 2007.

Learning Object Categories from Google's Image Search
Fergus, R. , Fei-Fei L. , Perona, P. and Zisserman, A.
Proc. of the 10th Inter. Conf. on Computer Vision, ICCV 2005.
 

A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
Fergus, R. , Perona, P. and Zisserman, A.
Proc. of the IEEE Conf on Computer Vision and Pattern Recognition 2005.

Sampling Methods for Unsupervised Learning
Fergus, R. , Zisserman, A. and Perona, P.
Proc. Neural Information Processing Systems 2004.
 

Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
Fei-Fei, L. , Fergus, R. and Perona, P.
CVPR Workshop on Generative Model Based Vision, 2004. 

A Visual Category Filter for Google Images
Fergus, R. , Perona, P. and Zisserman, A.
Proc. of the 8th European Conf. on Computer Vision, ECCV 2004.
 

A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories.
Fei-Fei, L. , Fergus, R. and Perona, P.         
Proc. of the 9th Inter. Conf. on Computer Vision, ICCV 2003.

Object Class Recognition by Unsupervised Scale-Invariant Learning
Fergus, R. , Perona, P. and Zisserman, A.
Proc. of the IEEE Conf on Computer Vision and Pattern Recognition 2003.
Winner of CVPR 2003 Best Paper prize.

Book chapters

Object Class Recognition by Unsupervised Scale-Invariant Learning
Fergus, R., Perona, P. and Zisserman, A.
in Cognitive Vision Systems, Editor: Nagel, H.H., Kluwer Academic Publishers, in press.

A Sparse Object Category Model for Efficient Learning and Complete Recognition
Fergus, R., Perona, P. and Zisserman, A.
in Collected Proceedings of the International Object Recognition Workshop, Taormina, Sicily, 2004
Editors: Ponce, J. and Zisserman, A., in press.
 

 Update your faculty profile

Sitemap  |  Contact Us
© New York University , Arts and Science