Thomas A. Funkhouser

Thomas Funkhouser

David M. Siegel Professor of Computer Science
Princeton University

E-mail: funk@cs.princeton.edu

35 Olden Street, Room 422

Princeton, NJ 08544

Phone: (609) 258-1748

Fax: (609) 258-1771

Office Hours: by appointment

Thomas Funkhouser,
Scene Understanding with 3D Deep Networks,
Workshop on 3D Deep Learning,
Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
Thomas Funkhouser,
Finding Surface Correspondences With Shape Analysis,
The 6th Annual Henry Taub TCE Conference,
3D Visual Computing: Graphics, Geometry & Imaging, Haifa, Israel, May 2016.
Thomas Funkhouser,
Five Principles for Choosing Research Problems in Computer Graphics,
ACM SIGGRAPH Computer Graphics Achievement Award Talk, SIGGRAPH, August 2014.
(YouTube video)
Thomas Funkhouser,
Learning 3D Models for Scene Understanding,
Intel Reseach Labs, August 2014.

Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Niessner,
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes,
CVPR 2017, spotlight presentation (arXiv:1702.04405 [cs.CV]).
Andy Zeng, Shuran Song, Matthias Niessner, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser,
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions,
CVPR 2017, oral presentation (arXiv:1603.08182v2 [cs.CV]).
Y. Zhang,* S. Song,* E. Yumer, M. Savva, J. Lee, H. Jin, and T. Funkhouser,
Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks,
CVPR 2017 (arXiv:1612.07429 [cs.CV]).
Shuran Song, Fisher Yu, Andy Zeng, Angel Chang, Manolis Savva, and Thomas Funkhouser,
Semantic Scene Completion from a Single Depth Image,
CVPR 2017, oral presentation (arXiv:1611.08974 [cs.CV]).
Maciej Halber and Thomas Funkhouser,
Fine-To-Coarse Global Registration of RGB-D Scans,
CVPR 2017 (arXiv:1607.08539 [cs.CV]).
Fisher Yu, Vladlen Koltun, and Thomas Funkhouser
Dilated Residual Networks,
CVPR 2017.
Amit H. Bermano, Thomas Funkhouser and Szymon Rusinkiewicz,
State of the Art in Methods and Representations for Fabrication-Aware Design,
Computer Graphics Forum (Proc. Eurographics), STAR Report, April 2017.

Papers chair, ACM SIGGRAPH, 2009
Advisory board, ACM SIGGRAPH, 2008, A2009, 2011, 2015
Papers sort, ACM SIGGRAPH, 2008, 2009, 2013, 2014, 2015, 2017
Papers committee, ACM SIGGRAPH, 1997, 1998, 2001, 2003, 2004, 2006, 2007, 2008, A2008, 2009, 2011, 2013
Papers chair, EUROGRAPHICS Symposium on Geometry Processing (SGP), 2014
Papers committee, EUROGRAPHICS Symposium on Geometry Processing (SGP), 2007, 2008, 2010, 2011, 2014, 2015, 2016

COS 598F (Spring 2017) - Advanced Topics in CS: Deep Learning for Graphics and Vision
COS 526 (Fall 2016) -- Advanced Computer Graphics
COS IW02 (Spring 2016) -- Independent Work Seminar: Understanding the World with Sensors
COS IW02 (Fall 2015) -- Independent Work Seminar: Understanding the World with Sensors
COS 598A (Spring 2015) -- Advanced Topics in CS: Shape Analysis of RGB-D Data
COS 526 (Fall 2014) -- Advanced Computer Graphics
COS 426 (Spring 2014) -- Computer Graphics
COS 429 (Fall 2013) -- Computer Vision
COS 126 (Spring 2013) -- General Computer Science (precepts)
COS 526 (Fall 2012) -- Advanced Computer Graphics
COS 598A (Spring 2011) - Advanced Topics in CS: Geometric Modeling and Analysis