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I work on machine learning, in particular Deep Learning methods as applied to representation learning and generative models. Application areas include computer vision and generative biology. \\
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I work on machine learning, in particular Deep Learning methods as applied to representation learning and generative models. \\
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!!Research Director\\
[[https://research.fb.com/blog/category/facebook-ai-research/|Facebook AI Research.]]\\
[[https://
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!!Research Scientist\\
[[https://deepmind.com/|DeepMind New York]]\\
[[https://deepmind.com/|DeepMind New York]]\\
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http://cs.nyu.edu/~fergus/email2.png\\
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----
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\\
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\\
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I work on machine learning, in particular Deep Learning methods as applied to representation learning and generative models. Application areas include computer vision and generative biology. \\
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!!Research Director,
[[https://research.facebook.com/ai|Facebook AI Research]].\\
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!!Research Director\\
[[https://research.fb.com/blog/category/facebook-ai-research/|Facebook AI Research.]]\\
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!!Research Director,
[[https://research.facebook.com/ai|Facebook AI Research]].\\
[[https://research.facebook.com/ai|Facebook AI Research]].\\
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!!Professor\\
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!!Professor of Computer Science\\
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\\
!Research Papers
!Research Papers
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[[https://arxiv.org/search/?searchtype=author&query=Fergus%2C+R|arXiv]]
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[[https://arxiv.org/search/?searchtype=author&query=Fergus%2C+R|arXiv]] and
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'''I am also a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
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'''I am also a Research Director at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
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!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
ECCV 2014, [[http://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invariance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
to:
!Research papers
My research papers can be found at:
[[https://arxiv.org/search/?searchtype=author&query=Fergus%2C+R|arXiv]]
[[https://scholar.google.com/citations?user=GgQ9GEkAAAAJ&hl=en&oi=ao|Google Scholar]]
My research papers can be found at:
[[https://arxiv.org/search/?searchtype=author&query=Fergus%2C+R|arXiv]]
[[https://scholar.google.com/citations?user=GgQ9GEkAAAAJ&hl=en&oi=ao|Google Scholar]]
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!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[
to:
!!Professor\\
[[https://wp.nyu.edu/cilvr/|CILVR lab,]]\\
[[https://wp.nyu.edu/cilvr/|CILVR lab,]]\\
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Room 1226, 715 Broadway,\\
New York, NY10003, USA.\\
New York, NY
to:
Room 514, 60 5th Ave.,\\
New York, NY 10011, USA.\\
New York, NY 10011, USA.\\
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'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
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'''I am also a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
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%block rframe %http://cs.nyu.edu/~fergus/rob4.png%%
!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
ECCV 2014, [[http://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invariance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
ECCV 2014, [[http://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invariance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
October 13, 2016, at 06:26 PM
by - ruiywtow
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to:
Hello!<a href="http://www.cia9online.com/#1.html">cialis online pharmacy</a>
October 13, 2016, at 06:13 AM
by - turiywte
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!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
ECCV 2014, [[http://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invariance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
to:
I do believe all of the ideas you've offered for your post. They are really convincing and will definitely work. Still, the posts are very quick for newbies. May just you please extend them a little from next time? Thank you for the post. bkgekeeecgda
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'''However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016).'''\\
to:
'''However, I am looking to recruit PhD students this year (i.e. to start in Fall 2016).'''\\
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'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]]. However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016)'''\\
to:
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]].'''\\
\\
'''However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016).'''\\
\\
'''However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016).'''\\
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'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]]'''\\
\\
'''However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016)'''\\
\\
'''
to:
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]]. However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016)'''\\
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'''However, I am looking to recruit PhD students this year (i.e. for admission in Fall 2016)'''\\
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'''I am currently on leave from NYU, working as a Research Scientist at [[http://www.facebook.com|Facebook]] AI Research'''\\
to:
'''I am currently on leave from NYU, working as a Research Scientist at [[https://research.facebook.com/ai|Facebook AI Research]]'''\\
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ECCV 2014, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
to:
ECCV 2014, [[http://cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf|PDF]][[<<]]
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I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
----
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to:
ECCV 2014, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
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!!Learning Invarance through Imitation
to:
!!Learning Invariance through Imitation
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I am currently on leave from NYU, working as a Research Scientist at [[http://www.facebook.com|Facebook]] AI Research\\
to:
'''I am currently on leave from NYU, working as a Research Scientist at [[http://www.facebook.com|Facebook]] AI Research'''\\
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I am currently on leave from NYU, working as a Research Scientist\\
at [[http://www.facebook.com|Facebook]] AI Research\\
at [[http://www.facebook.com|Facebook]] AI Research\\
to:
I am currently on leave from NYU, working as a Research Scientist at [[http://www.facebook.com|Facebook]] AI Research\\
Changed lines 9-10 from:
to:
I am currently on leave from NYU, working as a Research Scientist\\
at [[http://www.facebook.com|Facebook]] AI Research\\
at [[http://www.facebook.com|Facebook]] AI Research\\
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[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
to:
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----
! I'm joining Facebook!
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group ([[https://www.facebook.com/yann.lecun/posts/10151728212367143|Link]]). Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Menlo Park and in London. This is an exciting time for the field, and I'm looking forward to getting started.
Deleted lines 14-15:
Please see the admissions [[http://cds.nyu.edu/apply/|page]]\\
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%block rframe %http://cs.nyu.edu/~fergus/rob4.png%%
!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
Research Scientist\\
[[http://www.facebook.com|Facebook]] AI Lab\\
\\
Director of Graduate Studies for \\
[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
Applicants for Fall 2014 are welcome.\\
Please see the admissions [[http://cds.nyu.edu/apply/|page]]\\
\\
MSDS Office Hours: 10.30-11.30am Wednesdays\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
! I'm joining Facebook!
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group ([[https://www.facebook.com/yann.lecun/posts/10151728212367143|Link]]). Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Menlo Park and in London. This is an exciting time for the field, and I'm looking forward to getting started.
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
! International Conference on Learning Representations 2014
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
arXiv pre-print, Nov 2013, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invarance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
Research Scientist\\
[[http://www.facebook.com|Facebook]] AI Lab\\
\\
Director of Graduate Studies for \\
[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
Applicants for Fall 2014 are welcome.\\
Please see the admissions [[http://cds.nyu.edu/apply/|page]]\\
\\
MSDS Office Hours: 10.30-11.30am Wednesdays\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
! I'm joining Facebook!
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group ([[https://www.facebook.com/yann.lecun/posts/10151728212367143|Link]]). Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Menlo Park and in London. This is an exciting time for the field, and I'm looking forward to getting started.
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
! International Conference on Learning Representations 2014
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
arXiv pre-print, Nov 2013, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invarance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
May 10, 2014, at 10:17 PM
by - asyRburRmqZELULqcz
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to:
http://chicagorehab.net/userinfo.php?uid=465922 15 min payday loans no credit check
May 10, 2014, at 06:07 PM
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May 08, 2014, at 05:39 AM
by - FKtoJulGZKFTg
Changed lines 1-146 from:
!!Associate Professor\\
[[http://vlg.cs.nyu.edu|Vision, Learning and Graphics group,]]\\
[[http://cs.nyu.edu|Dept. of Computer Science,]]\\
[[http://cims.nyu.edu|Courant Institute of Mathematical Sciences,]]\\
[[http://www.nyu.edu|New York University]]\\
\\
Research Scientist\\
[[http://www.facebook.com|Facebook]] AI Lab\\
\\
Director of Graduate Studies for \\
[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
\\
MSDS Office Hours: 10.30-11.30am Wednesdays\\
\\
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
\\
[[PmWiki/Directions|Directions to lab]]
\\
\\
http://cs.nyu.edu/~fergus/email2.png\\
\\
\\
----
! I'm joining Facebook!
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group ([[https://www.facebook.com/yann.lecun/posts/10151728212367143|Link]]). Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Menlo Park and in London. This is an exciting time for the field, and I'm looking forward to getting started.
----
\\
!Research Overview
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
----
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
-----
! Online Recognition Demo
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
----
! International Conference on Learning Representations 2014
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
----
!%block red%[@ Latest Work @]
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
----
!Selected Projects
\\
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
!!Visualizing and Understanding Convolutional Networks
Matt Zeiler and Rob Fergus,
arXiv pre-print, Nov 2013, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/depth_indoor.png%%\\
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deconv2.png%%\\
!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/imitate.png%%\\
!!Learning Invarance through Imitation
Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/norm_sparse.png%%\\
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/dark2.jpg%%\\
!!Dark Flash Photography
Dilip Krishnan and Rob Fergus,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).\\
[[http://cs.nyu.edu/~fergus/papers/dark_flash.pdf|High res PDF (73Mb)]] |
[[http://cs.nyu.edu/~fergus/papers/dark_flash_low.pdf|Low res PDF (5.1Mb)]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=38|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/tinyimages.jpg%%\\
!!80 million tiny images: a large dataset for non-parametric object and scene recognition
Antonio Torralba, Rob Fergus and William T. Freeman\\
PAMI, November 2008. [[http://people.csail.mit.edu/torralba/tmp/tiny.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/papers/tiny.bib|Bibtex]] | [[http://people.csail.mit.edu/torralba/tinyimages|Project page]]
[[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/deblur-tn.png%%\\
!!Removing Camera Shake From A Single Photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman,\\
ACM Trans. on Graphics (Proc. SIGGRAPH 2006).\\
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
to:
Yp3evK <a href="http://uxejiwczpqhx.com/">uxejiwczpqhx</a>, [url=http://swuxqqpcigyd.com/]swuxqqpcigyd[/url], [link=http://xxssmgbuvjau.com/]xxssmgbuvjau[/link], http://satfmflwipgh.com/
Deleted lines 14-15:
Please see the admissions [[http://cds.nyu.edu/apply/|page]]\\
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%block blue%[@ ! Latest Work @]
to:
!%block red%[@ Latest Work @]
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%block blue%[@ ! Latest Work @]
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----
Pre-prints of recent research can be found on arXiv: [[http://arxiv.org/find/all/1/all:+AND+rob+fergus/0/1/0/all/0/1|Link]]
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Facebook is building the AI Group here in New York, in Mountain View and in London. This is an exciting time for the field, and I'm looking forward to getting started.
to:
Facebook is building the AI Group here in New York, in Menlo Park and in London. This is an exciting time for the field, and I'm looking forward to getting started.
Changed lines 46-47 from:
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.
\\
to:
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.\\
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to:
\\
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!! NIPS 2013 Tutorial
[[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
[[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
to:
!! NIPS 2013 Tutorial [[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
Changed line 10 from:
[[http://www.facebook.com|Facebook]] AI Lab
to:
[[http://www.facebook.com|Facebook]] AI Lab\\
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Research Scientist\\
[[http://www.facebook.com|Facebook]] AI Lab
\\
[[http://www.facebook.com|Facebook]] AI Lab
\\
Deleted lines 13-15:
Research Scientist\\
[[http://www.facebook.com|Facebook]] AI Lab
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to:
\\
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[[http://www.facebook.com|Facebook] AI Lab
to:
[[http://www.facebook.com|Facebook]] AI Lab
Added lines 12-14:
Research Scientist\\
[[http://www.facebook.com|Facebook] AI Lab
[[http://www.facebook.com|Facebook] AI Lab
Changed line 35 from:
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group <Link to Yann's post on Facebook. Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
to:
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group ([[https://www.facebook.com/yann.lecun/posts/10151728212367143|Link]]). Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
Added lines 30-38:
! I'm joining Facebook!
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group <Link to Yann's post on Facebook. Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Mountain View and in London. This is an exciting time for the field, and I'm looking forward to getting started.
----
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group <Link to Yann's post on Facebook. Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Mountain View and in London. This is an exciting time for the field, and I'm looking forward to getting started.
----
Deleted lines 43-54:
\\
----
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group <Link to Yann's post on Facebook. Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Mountain View and in London. This is an exciting time for the field, and I'm looking forward to getting started.
Added lines 38-46:
----
I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group <Link to Yann's post on Facebook. Facebook first announced the AI Group in September to work on problems in deep learning, machine learning and computer vision.
I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. After my sabbatical, I will continue to work both at Facebook and NYU.
Facebook is building the AI Group here in New York, in Mountain View and in London. This is an exciting time for the field, and I'm looking forward to getting started.
Changed lines 43-44 from:
to:
[[http://cs.nyu.edu/~fergus/presentations/nips2013_final.pdf|[Slides]]]
Changed line 71 from:
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy,
to:
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy
Changed line 50 from:
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
to:
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012).
Deleted lines 44-49:
-----
! Results of ImageNet 2013 Competition
The NYU lab entries did very well in all three competitions. There results are here: [[http://www.image-net.org/challenges/LSVRC/2013/results.php|link]].
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! Deep Learning Online Demo
to:
! Online Recognition Demo
Added lines 48-53:
! Results of ImageNet 2013 Competition
The NYU lab entries did very well in all three competitions. There results are here: [[http://www.image-net.org/challenges/LSVRC/2013/results.php|link]].
-----
The NYU lab entries did very well in all three competitions. There results are here: [[http://www.image-net.org/challenges/LSVRC/2013/results.php|link]].
-----
Changed line 73 from:
arXiv pre-print, Nov 2013 [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
to:
arXiv pre-print, Nov 2013, [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
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!!Visualizing and Understanding Convolutional Networks,
to:
!!Visualizing and Understanding Convolutional Networks
Changed lines 67-68 from:
arXiv pre-print, Nov 2013\\
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
to:
arXiv pre-print, Nov 2013 [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
Changed lines 67-68 from:
arXiv pre-print [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]], Nov 2013
to:
arXiv pre-print, Nov 2013\\
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
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%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
to:
%block rframe%http://cs.nyu.edu/~fergus/thumb/vis_thumb.png%%\\
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arXiv pre-print [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
to:
arXiv pre-print [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]], Nov 2013
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Added lines 41-47:
! Deep Learning for Computer Vision
!! NIPS 2013 Tutorial
Slides Coming soon....
-----
!! NIPS 2013 Tutorial
Slides Coming soon....
-----
Changed lines 56-67 from:
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
----
! Deep Learning Methods for Vision
!! CVPR 2012 Tutorial
Speakers: Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google)
Ruslan Salakhutdinov (Toronto), Graham Taylor (Guelph), Kai Yu (Baidu)
[[http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/ | Course Webpage ]]
----
! Deep Learning Methods for Vision
!! CVPR 2012 Tutorial
Speakers: Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google)
Ruslan Salakhutdinov (Toronto), Graham Taylor (Guelph), Kai Yu (Baidu)
[[http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/ | Course Webpage ]]
to:
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
Changed lines 42-43 from:
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
to:
See our deep convolutional network demo [+[[http://horatio.cs.nyu.edu|here]]+]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
Changed line 70 from:
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
to:
arXiv pre-print [[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
Added lines 66-71:
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Visualizing and Understanding Convolutional Networks,
Matt Zeiler and Rob Fergus,
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
!!Visualizing and Understanding Convolutional Networks,
Matt Zeiler and Rob Fergus,
[[http://arxiv.org/pdf/1311.2901v3.pdf|PDF]][[<<]]
Deleted lines 77-82:
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Stochastic Pooling for Regularization of Deep Convolutional Neural Networks,
Matt Zeiler and Rob Fergus, [[https://sites.google.com/site/representationlearning2013/home | ICLR ]] 2013\\
[[http://arxiv.org/pdf/1301.3557|PDF]][[<<]]
Deleted line 36:
Added lines 39-44:
! Deep Learning Online Demo
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
----
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
----
Deleted lines 48-52:
! Deep Learning Online Demo
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
Added lines 44-48:
----
! Deep Learning Online Demo
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
! Deep Learning Online Demo
See our deep convolutional network demo [[http://horatio.cs.nyu.edu|here]]. This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Kirzhevsky et al. (NIPS 2012).
Changed lines 9-10 from:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
to:
Director of Graduate Studies for \\
[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
[[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
Changed lines 12-13 from:
Please see the admissions [[http://cds.nyu.edu/apply/|page]]
\\
to:
Please see the admissions [[http://cds.nyu.edu/apply/|page]]\\
Changed lines 10-12 from:
Applicants for Fall 2014 are welcome.
to:
Applicants for Fall 2014 are welcome.\\
Please see the admissions [[http://cds.nyu.edu/apply/|page]]
Changed lines 9-11 from:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]
to:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]\\
Applicants for Fall 2014 are welcome. Please see the admissions [[http://cds.nyu.edu/apply/|page]]
\\
Applicants for Fall 2014 are welcome. Please see the admissions [[http://cds.nyu.edu/apply/|page]]
\\
Deleted lines 12-13:
Applicants for Fall 2014 are welcome. Please see the admissions [[http://cds.nyu.edu/apply/|page]]
Added lines 12-13:
Applicants for Fall 2014 are welcome. Please see the admissions [[http://cds.nyu.edu/apply/|page]]
\\
\\
Changed lines 37-39 from:
! International Conference on Learning Representations 2013
I am one of the Program Chairs for a new conference on feature learning and representation learning.Check out the [[https://sites.google.com/site/representationlearning2013/home | website.]]
I am one of the Program Chairs for a new conference on feature learning and representation learning.
to:
! International Conference on Learning Representations 2014
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
I am one of the Program Chairs for a new conference on feature learning and representation learning. The submission deadline is December 20th. Check out the [[https://sites.google.com/site/representationlearning2014/home | website.]]
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MSDS Office Hours: 10.30-11.30am Wednesdays
to:
MSDS Office Hours: 10.30-11.30am Wednesdays\\
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!!Assistant Professor\\
to:
!!Associate Professor\\
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\\
MSDS Office Hours: 10.30-11.30am Wednesdays
MSDS Office Hours: 10.30-11.30am Wednesdays
Changed lines 26-27 from:
My research is in the areas of Computer Vision and Machine Learning. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.
to:
My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.
Added lines 29-30:
\\
Changed line 54 from:
[[http://arxiv.org/pdf/1303.2627v1|PDF]]|[[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
to:
[[http://arxiv.org/pdf/1303.2627v1|PDF]] | [[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
Changed line 54 from:
[[http://arxiv.org/pdf/1303.2627v1|PDF]][[<<]]
to:
[[http://arxiv.org/pdf/1303.2627v1|PDF]]|[[http://www.amnh.org/our-research/physical-sciences/astrophysics/research/project-1640|Project page]][[<<]]
Changed lines 60-61 from:
Matt Zeiler and Rob Fergus, [[https://sites.google.com/site/representationlearning2013/home | ICLR ]]
2013\\
2013\\
to:
Matt Zeiler and Rob Fergus, [[https://sites.google.com/site/representationlearning2013/home | ICLR ]] 2013\\
Changed lines 60-61 from:
Matt Zeiler and Rob Fergus, arXiv 1301.3357, 2013\\
to:
Matt Zeiler and Rob Fergus, [[https://sites.google.com/site/representationlearning2013/home | ICLR ]]
2013\\
2013\\
Changed line 9 from:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]
to:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]]
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[[PmWiki/Directions|Directions]]
to:
[[PmWiki/Directions|Directions to lab]]
Changed lines 26-27 from:
My research is in the areas of Computer Vision, Machine Learning and Computer Graphics. I am interested in building statistical models of images both at the high level of objects and scenes and also at the low level of pixels and edges. These models may then be deployed in a variety of problems. Those of particular interest include: object recognition, image search and computational photography.
to:
My research is in the areas of Computer Vision and Machine Learning. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy.
Deleted lines 39-40:
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B. R. Oppenheimer et al., arXiv 1303.2627, 2013\\
to:
B. R. Oppenheimer et al., Astrophysical Journal, March 2013\\
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Address: [[PmWiki/Directions|Directions]]\\
to:
Address:\\
Added line 15:
[[PmWiki/Directions|Directions]]
Deleted lines 17-18:
\\
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Address:\\
to:
Address: [[PmWiki/Directions|Directions]]\\
Deleted line 14:
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[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
to:
[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
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Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
Changed line 9 from:
http://cs.nyu.edu/~fergus/email2.png\\
to:
Director of Graduate Studies for [[http://cds.nyu.edu/academics/ms-in-data-science/|Master of Science]] in [[http://cds.nyu.edu/|Data Science]
Added lines 11-13:
Address:\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
Room 1226, 715 Broadway,\\
New York, NY 10003, USA.\\
Added line 15:
[[http://www.nyu.edu|Directions]]\\
Added line 17:
http://cs.nyu.edu/~fergus/email2.png\\
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to:
\\
\\
\\
\\
\\
Deleted line 124:
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B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
to:
B. R. Oppenheimer et al., arXiv 1303.2627, 2013\\
Changed lines 49-51 from:
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy, B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy, B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
to:
%block rframe%http://cs.nyu.edu/~fergus/thumb/exoplanet2.png%%\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy,
B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy,
B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
Deleted line 48:
Changed lines 51-53 from:
!!Differentiable Pooling for Hierarchical Feature Learning
Matt Zeiler and Rob Fergus, Tech Report 2012\\
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdf|PDF]][[<<]]
Matt Zeiler and Rob Fergus, Tech Report 2012\\
[[http://www
to:
!!Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy, B. R. Oppenheimer et al., arXiv 1301.3357, 2013\\
[[http://arxiv.org/pdf/1303.2627v1|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Stochastic Pooling for Regularization of Deep Convolutional Neural Networks,
Matt Zeiler and Rob Fergus, arXiv 1301.3357, 2013\\
[[http://arxiv.org/pdf/1301.3557|PDF]][[<<]]
[[http://arxiv.org/pdf/1303.2627v1|PDF]][[<<]]
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Stochastic Pooling for Regularization of Deep Convolutional Neural Networks,
Matt Zeiler and Rob Fergus, arXiv 1301.3357, 2013\\
[[http://arxiv.org/pdf/1301.3557|PDF]][[<<]]
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%block rframe %http://cs.nyu.edu/~fergus/rob3.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob4.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob2v2.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob3.png%%
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----
! International Conference on Learning Representations 2013
I am one of the Program Chairs for a new conference on feature learning and representation learning. Check out the [[https://sites.google.com/site/representationlearning2013/home | website.]]
Changed line 1 from:
%block rframe %http://cs.nyu.edu/~fergus/rob2v1.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob2v2.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob2_small200.png%%
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%block rframe %http://cs.nyu.edu/~fergus/rob2v1.png%%
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%block rframe %http://cs.nyu.edu/~fergus/IMG_81151_200.jpg%%
to:
%block rframe %http://cs.nyu.edu/~fergus/rob2_small200.png%%
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[[|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
to:
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
Changed lines 50-52 from:
!!Indoor Scene Segmentation using a Structured Light Sensor
Nathan Silberman and Rob Fergus, 3DRR Workshop, ICCV 2011\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset]]
Nathan
[[http://cs.nyu.edu/~silberman/
to:
!!Indoor Segmentation and Support Inference from RGBD Images
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012\\
[[|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset v2.0]]
Changed line 43 from:
!!Differentiable Pooling for \\Hierarchical Feature Learning
to:
!!Differentiable Pooling for Hierarchical Feature Learning
Changed line 45 from:
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdf|PDF]] | [[<<]]
to:
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdf|PDF]][[<<]]
Changed line 43 from:
!!Differentiable Pooling for Hierarchical Feature Learning
to:
!!Differentiable Pooling for \\Hierarchical Feature Learning
Changed line 45 from:
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdfPDF]] | [[<<]]
to:
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdf|PDF]] | [[<<]]
Added lines 40-47:
%block rframe%http://cs.nyu.edu/~fergus/thumb/digit_2.png%%\\
!!Differentiable Pooling for Hierarchical Feature Learning
Matt Zeiler and Rob Fergus, Tech Report 2012\\
[[http://www.matthewzeiler.com/pubs/arxive2012/arxive2012.pdfPDF]] | [[<<]]
Changed line 29 from:
Sunday 9:00am-5:30pm, Sunday June 17th, Room 555A
to:
Sunday 9:00am-5:30pm, Sunday June 17th, Ballroom D
Changed line 29 from:
Sunday 9:00am-5:30pm, Sunday June 17th, Room 551B
to:
Sunday 9:00am-5:30pm, Sunday June 17th, Room 555A
Changed lines 26-27 from:
! CVPR 2012 Tutorial on Deep Learning Methods for Vision
to:
! Deep Learning Methods for Vision
!! CVPR 2012 Tutorial
!! CVPR 2012 Tutorial
Changed line 110 from:
(:htmlend:)
to:
(:htmlend:)
Changed lines 26-29 from:
! Note for prospective PhD students & postdocs:
I am actively looking for people with a vision/machine learning background who are interested in Astronomy applications.
I am actively looking for people with a vision/machine learning background who are interested in Astronomy applications.
to:
! CVPR 2012 Tutorial on Deep Learning Methods for Vision
Sunday 9:00am-5:30pm, Sunday June 17th, Room 551B
Speakers: Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google)
Ruslan Salakhutdinov (Toronto), Graham Taylor (Guelph), Kai Yu (Baidu)
[[http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/ | Course Webpage ]]
Sunday 9:00am-5:30pm, Sunday June 17th, Room 551B
Speakers: Rob Fergus (NYU), Honglak Lee (Michigan), Marc'Aurelio Ranzato (Google)
Ruslan Salakhutdinov (Toronto), Graham Taylor (Guelph), Kai Yu (Baidu)
[[http://cs.nyu.edu/~fergus/tutorials/deep_learning_cvpr12/ | Course Webpage ]]
Deleted line 109:
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I am actively looking for people with a vision/machine learning background who are interested in working on Astronomy applications.
to:
I am actively looking for people with a vision/machine learning background who are interested in Astronomy applications.
Changed line 26 from:
! Note for prospective PhD students / postdocs:
to:
! Note for prospective PhD students & postdocs:
Changed lines 26-28 from:
! Note for prospective PhD students
I am actively looking for students who are interested on working on problems relating to Astronomy and Computer Vision.
I am actively looking for students who are interested on working on problems relating to Astronomy and Computer Vision
to:
! Note for prospective PhD students / postdocs:
I am actively looking for people with a vision/machine learning background who are interested in working on Astronomy applications.
I am actively looking for people with a vision/machine learning background who are interested in working on Astronomy applications.
Added lines 23-28:
----
! Note for prospective PhD students
I am actively looking for students who are interested on working on problems relating to Astronomy and Computer Vision.
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[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Indoor Scene Dataset]]
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[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Depth Dataset]]
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[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|Project Page]]
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[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|NYU Indoor Scene Dataset]]
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[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/wordpress/?page_id=159|Project Page]]
[[http://cs.nyu.edu/~dilip/
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[[http://cs.nyu.edu/~dilip/research/papers/priors_cvpr11.pdf|PDF]] |
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
[[http://cs.nyu.edu/~dilip/research/blind-deconvolution/|Project Page]]
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!!Indoor Scene Segmentation using a Structured Light Sensor
Nathan Silberman and Rob Fergus, 3DRR Workshop, ICCV 2011\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|Project Page]]
[[<<]]
!!Indoor Scene Segmentation using a Structured Light Sensor
Nathan Silberman and Rob Fergus, 3DRR Workshop, ICCV 2011\\
[[http://cs.nyu.edu/~silberman/papers/indoor_seg_struct_light.pdf|PDF]] | [[http://cs.nyu.edu/~silberman/site/?page_id=27|Project Page]]
[[<<]]
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Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011
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Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\
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Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus, \\
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Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus \\
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Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
to:
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
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Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011.\\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
to:
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011\\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
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Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011. \\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
to:
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011.\\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
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!!Adaptive Deconvolutional Networks for Mid and High Level Feature Learning
Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011. \\ [[http://www.matthewzeiler.com/pubs/iccv2011/iccv2011.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project Page]]
[[<<]]
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CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [[http://movement.nyu.edu/imitation|Project Page]]
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CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://movement.nyu.edu/imitation|Project Page]]
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[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]]
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[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]] |
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CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [[http://movement.nyu.edu/imitation|Project Page]]
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[[http://cs.nyu.edu/~dilip/wordpress/?page_id=159|Project Page]]
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[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]] |
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[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]]
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!!Semi-supervised Learning in Gigantic Image Collections
Rob Fergus, Yair Weiss and Antonio Torralba, NIPS 2009.\\
[[http://cs.nyu.edu/~fergus/papers/fwt_ssl.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/code/ssl_eigenfunction.zip|Code]] | [[http://cs.nyu.edu/~fergus/presentations/ssl_nips3.ppt|PPT]] |
[[http://people.csail.mit.edu/torralba/tinyimages/|Live Demo on 10^8 images]]
!!
Rob Fergus
[[http://cs.nyu.edu/~
[[http://people.csail.mit.edu/torralba/tinyimages/|Live Demo on 10^8 images]]
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!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]] |
!!Blind Deconvolution using a Normalized Sparsity Measure
Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011\\
[[http://cs.nyu.edu/~dilip/wordpress/papers/priors_cvpr11.pdf|PDF]] |
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CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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CVPR 2011. [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus,
CVPR 2011.
[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
to:
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus, \\
CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]| [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
to:
CVPR 2011.
[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus, CVPR 2011.
[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
to:
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus,
CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
CVPR 2011. [http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]]|[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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!!Learning Invarance throughImitation \\
!!Learning Invarance through
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!!Learning Invarance through Imitation
!!Learning Invarance through Imitation
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!!Deconvolutional Networks
Matt Zeiler, Dilip Krishnan, Graham Taylor and Rob Fergus,\\
CVPR 2010.[[http://www.matthewzeiler.com/pubs/cvpr2010/cvpr2010.pdf|PDF]] | [[http://www.matthewzeiler.com/|Project page]]
!!
Matt Zeiler, Dilip Krishnan
CVPR 2010.
to:
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!!Learning Invarance through Imitation \\
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus, CVPR 2011.
[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
!!Learning Invarance through Imitation \\
Graham Taylor, Ian Spiro, Christoph Bregler, and Rob Fergus, CVPR 2011.
[[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969.pdf|PDF]] | [[http://www.cs.nyu.edu/~gwtaylor/publications/cvpr2011/0969-supp.pdf|Supp. material]]
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[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
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[[http://cs.nyu.edu/~fergus/papers/deblur_fergus.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/presentations/fergus_deblurring.pdf|PPT]] | [[http://cs.nyu.edu/~fergus/code/deblur_code_1_2.zip|Code]] | [[http://cs.nyu.edu/~fergus/research/deblur.html|Project page]]
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[[http://cs.nyu.edu/~fergus/papers/fwt_ssl.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/code/ssl_eigenfunction.zip|Code]] | [[http://cs.nyu.edu/~fergus/presentations/ssl_nips2.ppt|PPT]] |
to:
[[http://cs.nyu.edu/~fergus/papers/fwt_ssl.pdf|PDF]] | [[http://cs.nyu.edu/~fergus/code/ssl_eigenfunction.zip|Code]] | [[http://cs.nyu.edu/~fergus/presentations/ssl_nips3.ppt|PPT]] |