Journal papers

Dark Flash Photography
Krishnan, D. and Fergus, R.
ACM Trans. on Graphics, (Proc. SIGGRAPH 2009).
(High Res (73Mb) - 11 pages PDF) (Low Res (5.1Mb) - 11 pages PDF) (Bibtex) Project page

80 million tiny images: a large dataset for non-parametric object and scene recognition
Torralba, A., Fergus, R. and Freeman, W.T.
IEEE PAMI, November 2008
(13 pages PDF) (Bibtex) (Project page)

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).
(9 pages PDF) (Bibtex) (Project page)

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).
(8 pages PDF) (Bibtex) (Project page)


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
(47 pages PDF) (Bibtex) (Project page)


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


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
 (18 pages PDF) (Bibtex)

 

Conference papers

Semi-supervised Learning in Gigantic Image Collections
Fergus, R., Weiss, Y. and Torralba, A.
Proc. Neural Information Processing Systems 2009, (8 pages PDF)


Fast Image Deconvolution using Hyper-Laplacian Priors
Krishnan, D. and Fergus, R.
Proc. Neural Information Processing Systems 2009, (8 pages PDF) Project page


Learning Invariant Features through Topographic Filter Maps
Kavukcuoglu, K. , Ranzato, M. , Fergus, R. and LeCun, Y.
Proc. of the IEEE Conf on Computer Vision and Pattern Recognition 2009, (8 pages PDF)
(Bibtex)

Spectral Hashing
Weiss, Y., Torralba, A. and Fergus, R.
Proc. Neural Information Processing Systems 2008, (8 pages PDF) Project page


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, (8 pages PDF)
Slides PPT, Google TechTalk Video Link, Matlab Code .zip .tgz


Object Recognition by Scene Alignment
Russell, B. , Torralba, A. , Liu, C. , Fergus, R. and Freeman, W.T.
Proc. Neural Information Processing Systems 2007., (8 pages PDF)


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.
(8 pages PDF) (Bibtex) (Project Page)
Datasets used in this paper can be found here
 

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.
(8 pages PDF) (Bibtex) (Project page)
 

Sampling Methods for Unsupervised Learning
Fergus, R. , Zisserman, A. and Perona, P.
Proc. Neural Information Processing Systems 2004.
(8 pages PDF) (Bibtex)
 

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.
(9 pages PDF) (Bibtex)
 

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.
(14 pages PDF) (Bibtex) (Project Page)
 

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.  
(8 pages PDF) (Bibtex)
 

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.
 (8 pages PDF) (Bibtex) (Project Page). Datasets used in this paper can be found here and here.
 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.
        (32 pages PDF) (Bibtex)
        

        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.
        (19 pages PDF) (Bibtex)
 

Technical Notes

        Random Lens Imaging
        Fergus, R., Torralba A. and Freeman, W.T.
        MIT CSAIL Technical Report 2006-058, 2006.
         (11 pages PDF) (Bibtex)
        

        Efficient Methods for Object Recognition using the Constellation Model
        Fergus, R., Weber, M. and Perona, P.
        Caltech Technical Report, 2001.
        (8 pages PDF) (Bibtex)
 

PhD Thesis

        Visual Object Category Recognition
        D.Phil thesis
        University of Oxford, 2005.
        (193 pages PDF) (Bibtex)
        Winner of the British Computer Society's 2006 Distinguished Dissertations award
           (Best Computer Science thesis in the UK)
        Winner of the British Machine Vision Association's 2006 Sullivan prize
           (Best Computer Vision thesis in UK)