Robert Fergus

Rob Fergus

	2012
31		Li Wan, Leo Zhu, Rob Fergus: A Hybrid Neural Network-Latent Topic Model. Journal of Machine Learning Research - Proceedings Track 22: 1287-1294 (2012)
	2011
30		Dilip Krishnan, Terence Tay, Rob Fergus: Blind deconvolution using a normalized sparsity measure. CVPR 2011: 233-240
29		Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus: Learning invariance through imitation. CVPR 2011: 2729-2736
28		Matthew D. Zeiler, Graham W. Taylor, Rob Fergus: Adaptive deconvolutional networks for mid and high level feature learning. ICCV 2011: 2018-2025
27		Nathan Silberman, Rob Fergus: Indoor scene segmentation using a structured light sensor. ICCV Workshops 2011: 601-608
26		Matthew D. Zeiler, Graham W. Taylor, Leonid Sigal, Iain Matthews, Rob Fergus: Facial Expression Transfer with Input-Output Temporal Restricted Boltzmann Machines. NIPS 2011: 1629-1637
	2010
25		Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian: Case for Automated Detection of Diabetic Retinopathy. AAAI Spring Symposium: Artificial Intelligence for Development 2010
24		Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus: Deconvolutional networks. CVPR 2010: 2528-2535
23		Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba: Semantic Label Sharing for Learning with Many Categories. ECCV (1) 2010: 762-775
22		Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler: Convolutional Learning of Spatio-temporal Features. ECCV (6) 2010: 140-153
21		Graham W. Taylor, Rob Fergus, George Williams, Ian Spiro, Christoph Bregler: Pose-Sensitive Embedding by Nonlinear NCA Regression. NIPS 2010: 2280-2288
	2009
20		Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun: Learning invariant features through topographic filter maps. CVPR 2009: 1605-1612
19		Dilip Krishnan, Rob Fergus: Fast Image Deconvolution using Hyper-Laplacian Priors. NIPS 2009: 1033-1041
18		Rob Fergus, Yair Weiss, Antonio Torralba: Semi-Supervised Learning in Gigantic Image Collections. NIPS 2009: 522-530
17		Dilip Krishnan, Rob Fergus: Dark flash photography. ACM Trans. Graph. 28(3): (2009)
	2008
16		Antonio Torralba, Robert Fergus, Yair Weiss: Small codes and large image databases for recognition. CVPR 2008
15		Yair Weiss, Antonio Torralba, Robert Fergus: Spectral Hashing. NIPS 2008: 1753-1760
14		Antonio Torralba, Robert Fergus, William T. Freeman: 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 30(11): 1958-1970 (2008)
	2007
13		Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman: Object Recognition by Scene Alignment. NIPS 2007
12		Anat Levin, Robert Fergus, Frédo Durand, William T. Freeman: Image and depth from a conventional camera with a coded aperture. ACM Trans. Graph. 26(3): 70 (2007)
11		Fei-Fei Li, Robert Fergus, Pietro Perona: Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Computer Vision and Image Understanding 106(1): 59-70 (2007)
10		Robert Fergus, Pietro Perona, Andrew Zisserman: Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. International Journal of Computer Vision 71(3): 273-303 (2007)
	2006
9		Robert Fergus, Pietro Perona, Andrew Zisserman: A Sparse Object Category Model for Efficient Learning and Complete Recognition. Toward Category-Level Object Recognition 2006: 443-461
8		Robert Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman: Removing camera shake from a single photograph. ACM Trans. Graph. 25(3): 787-794 (2006)
7		Fei-Fei Li, Robert Fergus, Pietro Perona: One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 594-611 (2006)
	2005
6		Robert Fergus, Pietro Perona, Andrew Zisserman: A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. CVPR (1) 2005: 380-387
5		Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman: Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823
	2004
4		Robert Fergus, Pietro Perona, Andrew Zisserman: A Visual Category Filter for Google Images. ECCV (1) 2004: 242-256
3		Robert Fergus, Andrew Zisserman, Pietro Perona: Sampling Methods for Unsupervised Learning. NIPS 2004
	2003
2		Robert Fergus, Pietro Perona, Andrew Zisserman: Object Class Recognition by Unsupervised Scale-Invariant Learning. CVPR (2) 2003: 264-271
1		Fei-Fei Li, Robert Fergus, Pietro Perona: A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV 2003: 1134-1141

Coauthor Index

1	Kristy Ahrlich	[25]
2	Hector Bernal	[23]
3	Christoph Bregler	[21] [22] [29]
4	Frédo Durand	[12]
5	William T. Freeman	[8] [12] [13] [14]
6	Aaron Hertzmann	[8]
7	Koray Kavukcuoglu	[20]
8	Dilip Krishnan	[17] [19] [24] [30]
9	Yann LeCun	[20] [22]
10	Anat Levin	[12]
11	Fei-Fei Li	[1] [5] [7] [11]
12	Ce Liu	[13]
13	Iain Matthews (Iain A. Matthews)	[26]
14	Pietro Perona	[1] [2] [3] [4] [5] [6] [7] [9] [10] [11]
15	Marc'Aurelio Ranzato	[20]
16	Sam T. Roweis	[8]
17	Bryan C. Russell	[13]
18	Leonid Sigal	[26]
19	Nathan Silberman	[25] [27]
20	Barun Singh	[8]
21	Ian Spiro	[21] [29]
22	Lakshminarayanan Subramanian	[25]
23	Terence Tay	[30]
24	Graham W. Taylor	[21] [22] [24] [26] [28] [29]
25	Antonio Torralba	[13] [14] [15] [16] [18] [23]
26	Li Wan	[31]
27	Yair Weiss	[15] [16] [18] [23]
28	George Williams	[21]
29	Matthew D. Zeiler	[24] [26] [28]
30	Long Zhu (Leo Zhu)	[31]
31	Andrew Zisserman	[2] [3] [4] [5] [6] [9] [10]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page