Rob Fergus
Rob Fergus
Professor of Computer Science, New York University
Verified email at cs.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Visualizing and understanding convolutional networks
MD Zeiler, R Fergus
European conference on computer vision, 818-833, 2014
98732014
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
49952013
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
49952013
Overfeat: Integrated recognition, localization and detection using convolutional networks
P Sermanet, D Eigen, X Zhang, M Mathieu, R Fergus, Y LeCun
arXiv preprint arXiv:1312.6229, 2013
40142013
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
L Fei-Fei, R Fergus, P Perona
2004 conference on computer vision and pattern recognition workshop, 178-178, 2004
37052004
Learning spatiotemporal features with 3d convolutional networks
D Tran, L Bourdev, R Fergus, L Torresani, M Paluri
Proceedings of the IEEE international conference on computer vision, 4489-4497, 2015
36032015
Object class recognition by unsupervised scale-invariant learning
R Fergus, P Perona, A Zisserman
2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003
28082003
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
European conference on computer vision, 746-760, 2012
25802012
Spectral hashing
Y Weiss, A Torralba, R Fergus
Advances in neural information processing systems, 1753-1760, 2009
24032009
Removing camera shake from a single photograph
R Fergus, B Singh, A Hertzmann, ST Roweis, WT Freeman
ACM SIGGRAPH 2006 Papers, 787-794, 2006
20342006
Regularization of neural networks using dropconnect
L Wan, M Zeiler, S Zhang, Y Le Cun, R Fergus
International conference on machine learning, 1058-1066, 2013
19242013
End-to-end memory networks
S Sukhbaatar, J Weston, R Fergus
Advances in neural information processing systems, 2440-2448, 2015
17782015
80 million tiny images: A large data set for nonparametric object and scene recognition
A Torralba, R Fergus, WT Freeman
IEEE transactions on pattern analysis and machine intelligence 30 (11), 1958 …, 2008
17362008
Depth map prediction from a single image using a multi-scale deep network
D Eigen, C Puhrsch, R Fergus
Advances in neural information processing systems, 2366-2374, 2014
16562014
One-shot learning of object categories
L Fei-Fei, R Fergus, P Perona
IEEE transactions on pattern analysis and machine intelligence 28 (4), 594-611, 2006
16472006
Deep generative image models using a laplacian pyramid of adversarial networks
EL Denton, S Chintala, R Fergus
Advances in neural information processing systems, 1486-1494, 2015
15722015
Image and depth from a conventional camera with a coded aperture
A Levin, R Fergus, F Durand, WT Freeman
ACM transactions on graphics (TOG) 26 (3), 70-es, 2007
15662007
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D Eigen, R Fergus
Proceedings of the IEEE international conference on computer vision, 2650-2658, 2015
15082015
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
2010 IEEE Computer Society Conference on computer vision and pattern …, 2010
11832010
Fast image deconvolution using hyper-Laplacian priors
D Krishnan, R Fergus
Advances in neural information processing systems, 1033-1041, 2009
10962009
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