Thomas Funkhouser David M. Siegel Professor of Computer Science, Emeritus 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

Note: I am not taking new students

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

• Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, and Thomas Funkhouser,
  Learning Shape Templates with Structured Implicit Functions,
  International Conference on Computer Vision (ICCV), October 2019 (arXiv 1904.06447 [cs.CV]).
   
• Jingwei Huang, Yichao Zhou, Thomas Funkhouser, and Leonidas Guibas,
  FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image,
  International Conference on Computer Vision (ICCV), October 2019 (aXiv 1903.12305 [cs.CV]).
   
• Maciej Halber, Yifei Shi, Kevin Xu, and Thomas Funkhouser,
  Rescan: Inductive Instance Segmentation for Indoor RGBD Scans,
  International Conference on Computer Vision (ICCV), October 2019.
   
• 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, and Alberto Rodriguez,
  Robotic Pick-and-Place of Novel Objects in Clutter with Multi-affordance Grasping and Cross-domain Image Matching,
  International Journal of Robotics Research, August 2019.
   
• Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser,
  TossingBot: Learning to Throw Arbitrary Objects with Residual Physics,
  Robotics: Science and Systems (RSS), June 2019 (arXiv 1903.11239 [cs.RO]).
  (Best Systems Paper Award)
   
• Shuran Song and Thomas Funkhouser,
  Neural Illumination: Lighting Prediction for Indoor Environments,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2019. (arXiv 1906.07370 [cs.CV]).
   
• Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, and Leonidas Guibas,
  TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2019 (arXiv 1812.00020 [cs.CV]).
   
• Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas Funkhouser, and Silvio Savarese,
  Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings,
  Asian Conference on Computer Vision (ACCV), December 2018 (arXiv 1803.08495 [cs.CV]).
   
• Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser,
  Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning,
  International Conference on Intelligent Robotics (IROS), October 2018. (arXiv:1803.09956 [cs.RO]).
  (Best Cognitive Robotics Paper Award Finalist)
   
• Elena Balashova, Amit H. Bermano, Vladimir G. Kim, Stephen DiVerdi, Aaron Hertzmann, and Thomas Funkhouser,
  Learning A Stroke-Based Representation for Fonts,
  Computer Graphics Forum, October 2018.
   
• Elena Balashova, Vivek K. Singh, Brian Teixeira, J. Wang, Terrance Chen, and Thomas Funkhouser,
  Structure-Aware Shape Synthesis,
  International Conference on 3D Vision (3DV), September 2018.
   
• Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien Valentin, Adarsh Kowdle, Vladimir Tankovich, Michael Schoenberg, Shahram Izadi, Thomas Funkhouser, and Sean Fanello,
  ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems,
  European Conference on Computer Vision (ECCV), oral presentation, September 2018.
   
• Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, and Thomas Funkhouser,
  PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction,
  European Conference on Computer Vision (ECCV), oral presentation, September 2018 (arXiv:1803.08407 [cs.CV]).
   
• Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, and Thomas Funkhouser,
  Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2018 (arXiv:1712:04569 [cs.CV]).
   
• Yinda Zhang and Thomas Funkhouser,
  Deep Depth Completion of a Single RGB-D Image,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight presentation, June 2018 (arXiv:1803.09326 [cs.CV]).
   
• Marco Attene, Marco Livesu, Sylvain Lefebvre, Thomas Funkhouser, Szymon Rusinkiewicz, Stefano Ellero, Jonas Martinez, and Amit Haim Bermano,
  Design, Representations, and Processing for Additive Manufacturing,
  Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography, and Imaging, volume 10, issue 2, June 2018, 146 pages.
   
• 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,
  International Conference on Robotics and Automation (ICRA), May 2018 (arXiv:1710:01330 [cs.RO]).
  (Best Systems Paper Award, Amazon Robotics)
   

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

• Technical Awards Chair, ACM SIGGRAPH, 2019 - present
• 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
• Member, Technical Awards Committee, ACM SIGGRAPH, 2017 - 2018

Recent Graduate Students and Postdocs:

• Andy Zeng (Fifth year)
• Kyle Genova (Fourth year)
• Fangyin Wei (Second year)
• Jimmy Wu (Second year)
• Manolis Savva (Postdoc: Assistant Professor at Simon Fraser University)
• Angel Chang (Postdoc: Assistant Professor at Simon Fraser University)
• Sid Chaudhuri (Postdoc 2011-2104: Assistant Professor at IIT Bombay)
• Yaron Lipman (Postdoc 2008-2011: Associate Professor at Weizmann Institute)
• Jian Sun (Postdoc, 2009-1010: Associate Professor at Tsinghua)
• Daniel Aliaga (Postdoc, 2002-2003: Associate Professor at Purdue)
• Maciej Halber (Ph.D. 2019: Dolby)
• Elena Balashova Sizikova (Ph.D. 2019: Postdoc at NYU)
• Shuran Song (Ph.D. 2018: Assistant Professor at Columbia University)
• Yinda Zhang (Ph.D. 2018: Google)
• Fisher Yu (Ph.D. 2018: Assistant Professor at ETH Zurich)
• 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: Dell EMC)
• Misha Kazhdan (Ph.D. 2004: Associate Professor at John Hopkins)
• Patrick Min (Ph.D. 2004: Freelance)
• Rudro Samanta (Ph.D. 2002: Pixar)