Rob Fergus
List of publications from the DBLP Bibliography Server - FAQ
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 | 2013 | |
|---|---|---|
| i2 |      | Matthew D. Zeiler, Rob Fergus: Stochastic Pooling for Regularization of Deep Convolutional Neural Networks. CoRR abs/1301.3557 (2013) |
| 2012 | ||
| j9 | | Li Wan, Leo Zhu, Rob Fergus: A Hybrid Neural Network-Latent Topic Model. Journal of Machine Learning Research - Proceedings Track 22: 1287-1294 (2012) |
| c26 | | David Eigen, Rob Fergus: Nonparametric image parsing using adaptive neighbor sets. CVPR 2012: 2799-2806 |
| c25 | | |
| c24 | | Nathan Silberman, Derek Hoiem, Pushmeet Kohli, Rob Fergus: Indoor Segmentation and Support Inference from RGBD Images. ECCV (5) 2012: 746-760 |
| i1 | | Matthew D. Zeiler, Rob Fergus: Differentiable Pooling for Hierarchical Feature Learning. CoRR abs/1207.0151 (2012) |
| 2011 | ||
| c23 | | Dilip Krishnan, Terence Tay, Rob Fergus: Blind deconvolution using a normalized sparsity measure. CVPR 2011: 233-240 |
| c22 | | Graham W. Taylor, Ian Spiro, Christoph Bregler, Rob Fergus: Learning invariance through imitation. CVPR 2011: 2729-2736 |
| c21 | | Matthew D. Zeiler, Graham W. Taylor, Rob Fergus: Adaptive deconvolutional networks for mid and high level feature learning. ICCV 2011: 2018-2025 |
| c20 | | Nathan Silberman, Rob Fergus: Indoor scene segmentation using a structured light sensor. ICCV Workshops 2011: 601-608 |
| c19 | | 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 | ||
| j8 | | Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman: Learning Object Categories From Internet Image Searches. Proceedings of the IEEE 98(8): 1453-1466 (2010) |
| c18 | | Nathan Silberman, Kristy Ahrlich, Rob Fergus, Lakshminarayanan Subramanian: Case for Automated Detection of Diabetic Retinopathy. AAAI Spring Symposium: Artificial Intelligence for Development 2010 |
| c17 | | Matthew D. Zeiler, Dilip Krishnan, Graham W. Taylor, Robert Fergus: Deconvolutional networks. CVPR 2010: 2528-2535 |
| c16 | | Graham W. Taylor, Rob Fergus, Yann LeCun, Christoph Bregler: Convolutional Learning of Spatio-temporal Features. ECCV (6) 2010: 140-153 |
| c15 | | Robert Fergus, Hector Bernal, Yair Weiss, Antonio Torralba: Semantic Label Sharing for Learning with Many Categories. ECCV (1) 2010: 762-775 |
| c14 | | Graham W. Taylor, Rob Fergus, George Williams, Ian Spiro, Christoph Bregler: Pose-Sensitive Embedding by Nonlinear NCA Regression. NIPS 2010: 2280-2288 |
| 2009 | ||
| j7 | | |
| c13 | | Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus, Yann LeCun: Learning invariant features through topographic filter maps. CVPR 2009: 1605-1612 |
| c12 | | Rob Fergus, Yair Weiss, Antonio Torralba: Semi-Supervised Learning in Gigantic Image Collections. NIPS 2009: 522-530 |
| c11 | | Dilip Krishnan, Rob Fergus: Fast Image Deconvolution using Hyper-Laplacian Priors. NIPS 2009: 1033-1041 |
| 2008 | ||
| j6 | | 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) |
| c10 | | Antonio Torralba, Robert Fergus, Yair Weiss: Small codes and large image databases for recognition. CVPR 2008 |
| c9 | | |
| 2007 | ||
| j5 | | 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) |
| j4 | | 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) |
| j3 | | 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) |
| c8 | | Bryan C. Russell, Antonio Torralba, Ce Liu, Robert Fergus, William T. Freeman: Object Recognition by Scene Alignment. NIPS 2007 |
| 2006 | ||
| j2 | | Fei-Fei Li, Robert Fergus, Pietro Perona: One-Shot Learning of Object Categories. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 594-611 (2006) |
| j1 | | 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) |
| c7 | | 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 |
| 2005 | ||
| c6 | | Robert Fergus, Pietro Perona, Andrew Zisserman: A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. CVPR (1) 2005: 380-387 |
| c5 | | Robert Fergus, Fei-Fei Li, Pietro Perona, Andrew Zisserman: Learning Object Categories from Google's Image Search. ICCV 2005: 1816-1823 |
| 2004 | ||
| c4 | | Robert Fergus, Pietro Perona, Andrew Zisserman: A Visual Category Filter for Google Images. ECCV (1) 2004: 242-256 |
| c3 | | Robert Fergus, Andrew Zisserman, Pietro Perona: Sampling Methods for Unsupervised Learning. NIPS 2004 |
| 2003 | ||
| c2 | | Robert Fergus, Pietro Perona, Andrew Zisserman: Object Class Recognition by Unsupervised Scale-Invariant Learning. CVPR (2) 2003: 264-271 |
| c1 | | Fei-Fei Li, Robert Fergus, Pietro Perona: A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. ICCV 2003: 1134-1141 |
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