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Robert Fergus

Associate Professor of Computer Science

    20012019
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    Research Output 2001 2019

    2010

    Case for automated detection of diabetic retinopathy

    Silberman, N., Ahlrich, K., Fergus, R. & Subramanian, L., 2010, Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. Vol. SS-10-01. p. 85-90 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Computer vision
    Medical problems
    Explosions
    Color

    Convolutional learning of spatio-temporal features

    Taylor, G. W., Fergus, R., LeCun, Y. & Bregler, C., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 6 ed. Vol. 6316 LNCS. p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Action Recognition
    Image Sequence
    Parametrization
    Model
    Flow Field

    Deconvolutional networks

    Zeiler, M. D., Krishnan, D., Taylor, G. W. & Fergus, R., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 2528-2535 8 p. 5539957

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Decomposition
    Detectors

    Learning object categories from internet image searches

    Fergus, R., Fei-Fei, L., Perona, P. & Zisserman, A., Aug 2010, In : Proceedings of the IEEE. 98, 8, p. 1453-1466 14 p., 5483225.

    Research output: Contribution to journalArticle

    Internet
    Search engines
    Semantics

    Pose-sensitive embedding by nonlinear NCA regression

    Taylor, G. W., Fergus, R., Williams, G., Spiro, I. & Bregler, C., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Regression analysis
    Labeling

    Semantic label sharing for learning with many categories

    Fergus, R., Bernal, H., Weiss, Y. & Torralba, A., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 1 ed. Vol. 6311 LNCS. p. 762-775 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6311 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Labels
    Sharing
    Semantics
    Object recognition
    WordNet
    2009

    Dark flash photography

    Krishnan, D. & Fergus, R., Jul 27 2009, In : ACM Transactions on Graphics. 28, 3, 96.

    Research output: Contribution to journalArticle

    Photography
    Cameras
    Lighting
    Infrared radiation
    Wavelength

    Fast image deconvolution using hyper-laplacian priors

    Krishnan, D. & Fergus, R., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 1033-1041 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Deconvolution
    Pixels
    Table lookup
    Image processing
    Polynomials

    Learning invariant features through topographic filter maps

    Kavukcuoglu, K., Ranzato, MA., Fergus, R. & LeCun, Y., 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. p. 1605-1612 8 p. 5206545

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Image recognition
    Object recognition
    Feature extraction
    Classifiers
    Detectors

    Object recognition by scene alignment

    Russell, B. C., Torralba, A., Liu, C., Fergus, R. & Freeman, W. T., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Object recognition
    Labels
    Statistical Models

    Semi-supervised learning in gigantic image collections

    Fergus, R., Weiss, Y. & Torralba, A., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 522-530 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Supervised learning
    Labels
    Eigenvalues and eigenfunctions
    Internet
    Learning systems

    Spectral hashing

    Weiss, Y., Torralba, A. & Fergus, R., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 1753-1760 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Eigenvalues and eigenfunctions
    Semantics
    Hamming distance
    Binary codes
    Experiments
    2008

    80 million tiny images: A large data set for nonparametric object and scene recognition

    Torralba, A., Fergus, R. & Freeman, W. T., 2008, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 30, 11, p. 1958-1970 13 p.

    Research output: Contribution to journalArticle

    Large Data Sets
    Semantics
    Internet
    Image resolution
    WordNet

    Small codes and large image databases for recognition

    Torralba, A., Fergus, R. & Weiss, Y., 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 4587633

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Internet
    Binary codes
    Object recognition
    Computer graphics
    Computer hardware
    2007

    Image and depth from a conventional camera with a coded aperture

    Levin, A., Fergus, R., Durand, F. & Freeman, W. T., 2007, Proceedings of ACM SIGGRAPH 2007. 70

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cameras
    Camera lenses
    Image resolution
    Hardware
    Recovery

    Image and depth from a conventional camera with a coded aperture

    Levin, A., Fergus, R., Durand, F. & Freeman, W. T., Jul 29 2007, In : ACM Transactions on Graphics. 26, 3, 1276464.

    Research output: Contribution to journalArticle

    Cameras
    Camera lenses
    Image resolution
    Hardware
    Recovery

    Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

    Fei-Fei, L., Fergus, R. & Perona, P., Apr 2007, In : Computer Vision and Image Understanding. 106, 1, p. 59-70 12 p.

    Research output: Contribution to journalArticle

    Maximum likelihood
    Information use
    Statistical Models

    Weakly supervised scale-invariant learning of models for visual recognition

    Fergus, R., Perona, P. & Zisserman, A., Mar 2007, In : International Journal of Computer Vision. 71, 3, p. 273-303 31 p.

    Research output: Contribution to journalArticle

    Animals
    Railroad cars
    Statistical Models
    2006

    A sparse object category model for efficient learning and complete recognition

    Fergus, R., Perona, P. & Zisserman, A., 2006, Toward category-level object recognition. Ponce, J., Herbert, M., Schmid, C. & Zisserman, A. (eds.). Springer, (1470).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Object class recognition by unsupervised scale-invariant learning

    Fergus, R., Perona, P. & Zisserman, A., 2006, Cognitive vision systems. Nagel, H. H. (ed.). Springer LNCS, p. 3948

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    One-shot learning of object categories

    Fei-Fei, L., Fergus, R. & Perona, P., Apr 2006, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 28, 4, p. 594-611 18 p.

    Research output: Contribution to journalArticle

    Bayesian Approach
    Model Category
    Probability density function
    Maximum likelihood
    Model

    Random lens imaging

    Fergus, R., Torralba, A. & Freeman, W. T., 2006, MIT CSAIL Technical Report 2006-058.

    Research output: Book/ReportOther report

    Removing camera shake from a single photograph

    Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T. & Freeman, W. T., 2006, ACM SIGGRAPH 2006 Papers, SIGGRAPH '06. p. 787-794 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cameras
    Deconvolution

    Removing camera shake from a single photograph

    Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T. & Freeman, W. T., Jul 2006, ACM Transactions on Graphics. 3 ed. Vol. 25. p. 787-794 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Cameras
    Deconvolution
    2005

    A sparse object category model for efficient learning and exhaustive recognition

    Fergus, R., Perona, P. & Zisserman, A., 2005, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. Schmid, C., Soatto, S. & Tomasi, C. (eds.). Vol. 1. p. 380-387 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Detectors
    Object recognition
    Model structures
    Stars
    Topology

    Learning object categories from Google's image search

    Fergus, R., Fei-Fei, L., Perona, P. & Zisserman, A., 2005, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. Vol. II. p. 1816-1823 8 p. 1544937

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Search engines
    Object recognition
    Internet

    Sampling methods for unsupervised learning

    Fergus, R., Zisserman, A. & Perona, P., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Unsupervised learning
    Sampling
    Computer vision
    2004
    Filter
    Tigers
    Search Engine
    Camelus
    Equidae

    Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

    Fei-Fei, L., Fergus, R. & Perona, P., 2004, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. January ed. IEEE Computer Society, Vol. 2004-January. 1384978

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Maximum likelihood
    Information use
    Statistical Models
    2003

    A Bayesian approach to unsupervised one-shot learning of object categories

    Fei-Fei, L., Fergus, R. & Perona, P., 2003, Proceedings of the IEEE International Conference on Computer Vision. Vol. 2. p. 1134-1141 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Motorcycles
    Probability density function
    Aircraft
    Statistical Models

    Object class recognition by unsupervised scale-invariant learning

    Fergus, R., Perona, P. & Zisserman, A., 2003, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Maximum likelihood
    Animals
    Entropy
    Railroad cars
    Detectors
    2001

    Efficient methods for object recognition using the constellation model

    Fergus, R., Weber, M. & Perona, P., 2001, Caltech Technical Report.

    Research output: Book/ReportCommissioned report