Thomas Funkhouser David M. Siegel Professor of Computer Science Princeton University

How to Reach Me:

E-mail: funk@cs.princeton.edu

Princeton Computer Vision Group

Princeton Computer Graphics Group

Department of Computer Science

Princeton University

35 Olden Street, Room 422

Princeton, NJ 08544

Phone: (609) 258-1748

Fax: (609) 258-1771

Recent Talks:

• 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.
   

Recent Publications (here is a full list of publications):

• Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian Taylor, Weber Liu, Thomas Funkhouser, Alberto Rodriguez,
  Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching,
  October 2017 (arXiv:1710:01330 [cs.RO]).
   
• Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang,
  Matterport3D: Learning from RGB-D Data in Indoor Environments,
  International Conference on 3D Vision (3DV), 2017 (arXiv:1709.06158 [cs.CV]).
   
• Jerry Liu, Fisher Yu, and Thomas Funkhouser,
  Interactive 3D Modeling with a Generative Adversarial Network,
  International Conference on 3D Vision (3DV), 2017 (arXiv:1706.05170 [cs.CV]).
   
• 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.
   
• Kyle Genova, Manolis Savva, Angel X. Chang, Thomas Funkhouser,
  Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes,
  arXiv:1704.02393 [cs.CV], April 2017.
   

Recent Professional Activities (here is a full list of activities):

• 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

Recent Courses:

• 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

Graduate Students and Postdocs:

• Manolis Savva (Postdoc)
• Angel Chang (Postdoc)
• Fisher Yu (Sixth year)
• Shuran Song (Fifth year)
• Elena Sizikova (Fifth year)
• Maciej Halber (Fifthyear)
• Yinda Zhang (Fourth year)
• Andy Zeng (Third year)
• Kyle Genova (Second year)
• Sid Chaudhuri (Postdoc 2011-2104 -> Assistant Professor at IIT Bombay)
• Yaron Lipman (Postdoc 2008-2011 -> Assoc Prof at Weizmann Institute)
• Jian Sun (Postdoc, 2009-1010 -> Assoc Prof at Tsinghua)
• Daniel Aliaga (Postdoc, 2002-2003 -> Assoc Prof at Purdue)
• Tianqian Liu (Ph.D. 2015 -> Google)
• Aleksey Boyko (Ph.D. 2015 -> Google)
• Xiaobai Chen (Ph.D. 2014 -> Citadel)
• Vladimir Kim (Ph.D. 2013 -> Adobe Research Labs)
• Alex Golovinskiy (Ph.D. 2010 -> Google)
• Paul Calamia (Ph.D. 2009 -> MIT Lincoln Laboratory)
• Phil Shilane (Ph.D. 2008 -> EMC)
• Misha Kazhdan (Ph.D. 2004 -> Assoc Prof at John Hopkins)
• Patrick Min (Ph.D. 2004 -> Freelance)
• Rudro Samanta (Ph.D. 2002 -> Pixar)