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Robert Fergus

Associate Professor of Computer Science

    20012019
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    Research Output 2001 2019

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    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

    A hybrid neural network-latent topic model

    Wan, L., Zhu, L. & Fergus, R., 2012, In : Journal of Machine Learning Research. 22, p. 1287-1294 8 p.

    Research output: Contribution to journalArticle

    Neural Networks
    Neural networks
    Hybrid Model
    Discriminative Training
    Model
    Filter
    Tigers
    Search Engine
    Camelus
    Equidae

    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

    Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip

    Samadani, U., Farooq, S., Ritlop, R., Warren, F., Reyes, M., Lamm, E., Alex, A., Nehrbass, E., Kolecki, R., Jureller, M., Schneider, J., Chen, A., Shi, C., Mendhiratta, N., Huang, J. H., Qian, M., Kwak, R., Mikheev, A., Rusinek, H., George, A. & 4 others, Fergus, R., Kondziolka, D., Huang, P. P. & Smith, R. T., Mar 1 2015, In : Journal of Neurosurgery. 122, 3, p. 707-720 14 p.

    Research output: Contribution to journalArticle

    Abducens Nerve Diseases
    Oculomotor Nerve
    Motion Pictures
    Surgical Instruments
    Cranial Nerve Diseases

    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

    Learning multiagent communication with backpropagation

    Sukhbaatar, S., Szlam, A. & Fergus, R., 2016, In : Advances in Neural Information Processing Systems. p. 2252-2260 9 p.

    Research output: Contribution to journalArticle

    Backpropagation
    Communication
    Network protocols

    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

    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

    Project 1640 Observations of Brown Dwarf GJ 758 B: Near-infrared Spectrum and Atmospheric Modeling

    Nilsson, R., Veicht, A., Godfrey, P. A. G., Rice, E. L., Aguilar, J., Pueyo, L., Roberts, L. C., Oppenheimer, R., Brenner, D., Luszcz-Cook, S. H., Bacchus, E., Beichman, C., Burruss, R., Cady, E., Dekany, R., Fergus, R., Hillenbrand, L., Hinkley, S., King, D., Lockhart, T. & 6 others, Parry, I. R., Sivaramakrishnan, A., Soummer, R., Vasisht, G., Zhai, C. & Zimmerman, N. T., Mar 20 2017, In : Astrophysical Journal. 838, 1, 64.

    Research output: Contribution to journalArticle

    atmospheric modeling
    near infrared
    infrared spectra
    stars
    sun

    Reconnaissance of the hr 8799 exosolar system. I. near-infrared spectroscopy

    Roberts, L. C., Oppenheimer, B. R., Baranec, C., Beichman, C., Brenner, D., Burruss, R., Cady, E., Crepp, J. R., Dekany, R., Fergus, R., Hale, D., Hillenbrand, L., Hinkley, S., Hogg, D. W., King, D., Ligon, E. R., Lockhart, T., Nilsson, R., Parry, I. R., Pueyo, L. & 13 others, Rice, E., Roberts, J. E., Roberts, L. C., Shao, M., Sivaramakrishnan, A., Soummer, R., Truong, T., Vasisht, G., Veicht, A., Vescelus, F., Wallace, J. K., Zhai, C. & Zimmerman, N., May 1 2013, In : Astrophysical Journal. 768, 1, 24.

    Research output: Contribution to journalArticle

    reconnaissance
    infrared spectroscopy
    planets
    near infrared
    planet

    S4: A spatial-spectral model for speckle suppression

    Fergus, R., Hogg, D. W., Oppenheimer, R., Brenner, D. & Pueyo, L., Oct 20 2014, In : Astrophysical Journal. 794, 2, 161.

    Research output: Contribution to journalArticle

    speckle
    retarding
    brightness
    stars
    error signals

    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