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

How to Reach Me:

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):

• Zhang Chen, Yinda Zhang, Kyle Genova, Sean Fanello, Sofien Bouaziz, Christian Haene, Ruofei Du, Cem Keskin, Thomas Funkhouser, and Danhang Tang,
  Multiresolution Deep Implicit Functions for 3D Shape Representation,
  International Conference on Computer Vision (ICCV), October 2021 (arXiv 2109.05591 [cs.CV]).
   
• Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas Funkhouser, Li Yi,
  Contrastive Multimodal Fusion with TupleInfoNCE,
  International Conference on Computer Vision (ICCV), October 2021 (arXiv 2107.02575 [cs.CV]).
   
• Li Yi, Boqing Gong, and Thomas Funkhouser,
  Complete & Label: A Domain Adaption Approach to Semantic Segmentation of LIDAR Point Clouds,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021 (arXiv 2007.08488 [cs.CV]).
   
• Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, and Thomas Funkhouser,
  IBRNet: Learning Multi-View Image-Based Rendering,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021 (arXiv 2102.13090 [cs.CV]).
   
• Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas Funkhouser, Baoquan Chen, and Leonidas Guibas,
  Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2021 (arXiv 2012.04746 [cs.CV]).
   
• Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, and Thomas Funkhouser,
  Spatial Intention Maps for Multi-Agent Mobile Manipulation,
  IEEE International Conference on Robotics and Automation (ICRA), June 2021 (arXiv 2103.12710 [cs.RO]).
   
• Michelle Guo, Alireza Fathi, Jiajun Wu, and Thomas Funkhouser,
  Object-Centric Neural Scene Rendering,
  arXiv 2012.08503 [cs.CV], December 2020.
   
• Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, and Hao Dong,
  P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding,
  arXiv 2012.13089 [cs.CV], December 2020.
   
• Christian Diller, Thomas Funkhouser, and Angela Dai,
  Forecasting Characteristic 3D Poses of Human Actions,
  arXiv 2011.15079 [cs.CV], November 2020.
   
• Fangyin Wei, Elena Sizikova, Avneesh Sud, Szymon Rusinkiewicz, and Thomas Funkhouser,
  Learning to Infer Semantic Parameters for 3D Shape Editing,
  International Conference on 3D Vision (3DV), November 2020 (arXiv 2011.04755 [cs.CV]).
   
• Shuran Song, Andy Zeng, Johnny Lee, and Thomas Funkhouser,
  Grasping in the Wild: Learning 6DoF Closed Loop Grasping from Low-Cost Demonstrations,
  Intelligent Robotics and Systems (IROS), October 2020, also in
  IEEE Robotics and Automation Letters (RA-L), volume 5, issue 3, July 2020 (arXiv 1912.04344 [cs.CV]).
   
• Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, and Caroline Pantofaru,
  Virtual Multi-view Fusion for 3D Semantic Segmentation,
  European Conference on Computer Vision (ECCV), August 2020 (arXiv 2007.13138 [cs.CV]).
   
• Yue Wang, Alireza Fathi, Abhijit Kundu, David Ross, Caroline Pantofaru, Thomas Funkhouser, and Justin Solomon,
  Pillar-based Object Detection for Autonomous Driving,
  European Conference on Computer Vision (ECCV), August 2020 (arXiv 2007.10323 [cs.CV]).
   
• Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, and Alireza Fathi,
  An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds,
  European Conference on Computer Vision (ECCV), August 2020 (arXiv 2007.12392 [cs.CV]).
   
• Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser,
  TossingBot: Learning to Throw Arbitrary Objects With Residual Physics,
  IEEE Transactions on Robotics, volume 36, issue 4, Aug. 2020.
   
• Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, and Justin M Solomon,
  Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection,
  ECCV Workshop on Perception for Autonomous Driving, August 2020.
   
• Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas Funkhouser,
  Spatial Action Maps for Mobile Manipulation,
  Robotics Science and Systems (RSS), July 2020 (arXiv:2004.09141 [cs.RO])
   
• Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser,
  Local Deep Implicit Functions,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2020 (arXiv 1912.06126 [cs.CV]).
   
• Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Jiang, Leonidas Guibas, Matthias Niessner, and Thomas Funkhouser,
  Adversarial Texture Optimization from RGB-D Scans,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020 (arXiv 2003.08400 [cs.CV]).
   
• Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, and Alireza Fathi,
  DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (arXiv 2004.01170 [cs.CV]).
   
• Chiyu Jiang, Avneesh Sud, Ameesh Makadia, Jingwei Huang, Matthias Niessner, and Thomas Funkhouser,
  Local Implicit Grid Representations for 3D Scenes,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020 (arXiv 2003.08981 [cs.CV]).
   
• 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 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 (arXiv 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 (arXiv 1909.11268 [cs.CV]).
   
• 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]).
  (Best Paper Award Finalist)
   
• 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]).