Assistant Professor
Vision, Learning and Graphics group,
Dept. of Computer Science,
Courant Institute of Mathematical Sciences,
New York University

Director of Graduate Studies for Master of Science in Data Science


Address:
Room 1226, 715 Broadway,
New York, NY 10003, USA.

Directions to lab






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.



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 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)

Course Webpage


Selected Projects



Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy,

B. R. Oppenheimer et al., Astrophysical Journal, March 2013
PDF | Project page


Stochastic Pooling for Regularization of Deep Convolutional Neural Networks,

Matt Zeiler and Rob Fergus, ICLR 2013
PDF


Indoor Segmentation and Support Inference from RGBD Images

Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012
PDF | NYU Depth Dataset v2.0


Adaptive Deconvolutional Networks for Mid and High Level Feature Learning

Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011
PDF | Project Page


Learning Invarance through Imitation

Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus
CVPR 2011. PDF | Project Page



Blind Deconvolution using a Normalized Sparsity Measure

Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011
PDF | Project Page


Dark Flash Photography

Dilip Krishnan and Rob Fergus,
ACM Trans. on Graphics (Proc. SIGGRAPH 2009).
High res PDF (73Mb) | Low res PDF (5.1Mb) | Project page



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. PDF | Bibtex | Project page



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).
PDF | PPT | Code | Project page