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Rob Fergus
Rob Fergus
Research Scientist, DeepMind. 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
Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014
225712014
Intriguing properties of neural networks
C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ...
arXiv preprint arXiv:1312.6199, 2013
168342013
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
100662015
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
77462013
Indoor segmentation and support inference from rgbd images
N Silberman, D Hoiem, P Kohli, R Fergus
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
62732012
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
54982004
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 27, 2014
45152014
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
33022013
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
32712015
Spectral hashing
Y Weiss, A Torralba, R Fergus
Advances in neural information processing systems 21, 2008
32452008
End-to-end memory networks
S Sukhbaatar, J Weston, R Fergus
Advances in neural information processing systems 28, 2015
31302015
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
30662003
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
30602006
Deep generative image models using a laplacian pyramid of adversarial networks
EL Denton, S Chintala, R Fergus
Advances in neural information processing systems 28, 2015
29682015
Removing camera shake from a single photograph
R Fergus, B Singh, A Hertzmann, ST Roweis, WT Freeman
Acm Siggraph 2006 Papers, 787-794, 2006
26972006
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
24172008
Deconvolutional networks
MD Zeiler, D Krishnan, GW Taylor, R Fergus
2010 IEEE Computer Society Conference on computer vision and pattern …, 2010
22772010
Exploiting linear structure within convolutional networks for efficient evaluation
EL Denton, W Zaremba, J Bruna, Y LeCun, R Fergus
Advances in neural information processing systems 27, 2014
20342014
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
19912007
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ...
Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021
17272021
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