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Robert Fergus

Associate Professor of Computer Science

20012019
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Research Output 2001 2019

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Article
2017

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
2016

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
2015

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
2014

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
2013

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
2012

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
2010

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
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
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
2007

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

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
2004
Filter
Tigers
Search Engine
Camelus
Equidae