David Eigen

deigen@cs.nyu.edu

Curriculum Vitae

I am currently a PhD student in the Computer Science department at the Courant Institute at New York University. My research area is computer vision and machine learning. My advisor is Rob Fergus.

Publications

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus and Yann LeCun
ICLR 2014 (pdf)

Learning Factored Representations in a Deep Mixture of Experts
David Eigen, Marc'Aurelio Ranzato and Ilya Sutskever
ICLR Workshops 2014 (pdf)

Understanding Deep Architectures using a Recursive Convolutional Network
David Eigen, Jason Rolfe, Rob Fergus and Yann LeCun
ICLR Workshops 2014 (pdf)

Restoring An Image Taken Through a Window Covered with Dirt or Rain
David Eigen, Dilip Krishnan and Rob Fergus
ICCV 2013 (pdf) (project page)

Nonparametric Image Parsing using Adaptive Neighbor Sets
David Eigen and Rob Fergus
CVPR 2012 (pdf) (code)

Other Info

Previously, I was in San Francisco working on antispam and antimalware at Cisco IronPort Systems.

Before IronPort, I was at NetApp, where I worked on the WAFL filesystem and rewrote much of the NVLog intent journal. Before that, I was at Brown, where I studied math, computer science and cognitive science.

At Brown, I developed a set of visualization tools for differential geometry with Prof. Banchoff. This has since been applied to more applications and labs over the past few years; one of the latest complements the textbook "Differential Geometry of Curves and Surfaces" by Banchoff and Lovett.

For Burning Man '09, I made a large jigsaw puzzle.

Projects older than those on my CV are here. This includes selected final projects from various classes.