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):

• Zihao Xiao, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng,
  3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation,
  European Conference on Computer Vision (ECCV), (arXiv:2401.02402 [cs.CV], September 2024.
   
• Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas Funkhouser, Chen Change Loy, Yinda Zhang,
  Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing,
  European Conference on Computer Vision (ECCV), (arXiv:2312.03763 [cs.CV]), September 2024.
   
• Christian Diller, Thomas Funkhouser, Angela Dai,
  FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (arXiv:2211.14309 [cs.CV]), June 2024.
   
• Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas Funkhouser,
  TidyBot: Personalized Robot Assistance with Large Language Models,
  Intelligent Robotics and Systems (IROS), (arXiv 2305.05658 [cs.RO]), October 2023.
   
• Fangyin Wei, Thomas Funkhouser, Szymon Rusinkiewicz,
  Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting,
  International Conference on Computer Vision (ICCV), (arXiv 2304.03763 [cs.CV]), October 2023.
   
• Hong-Xing Yu, Michelle Guo, Alireza Fathi, Yen-Yu Chang, Eric Ryan Chan, Ruohan Gao, Thomas Funkhouser, Jiajun Wu,
  Learning Object-Centric Neural Scattering Functions for Free-viewpoint Relighting and Scene Composition,
  Transactions on Machine Learning Research (TMLR), June 2023 (arXiv 2303.06138 [cs.CV]).
   
• Songyou Peng, Kyle Genova, Chiyu "Max" Jiang, Andrea Tagliasachi, Marc Pollefeys, Thomas Funkhouser,
  OpenScene: 3D Scene Understanding with Open Vocabularies,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2023 (arXiv 2211.15564 [cs.CV]).
   
• Xiaoshuai Zhang, Abhijit Kundu, Thomas Funkhouser, Leonidas Guibas, Hao Su, Kyle Genova,
  Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2023 (arXiv 2303.03361 [cs.CV]).
   
• Zhiqin Chen, Thomas Funkhouser, Peter Hedman, Andrea Tagliasacchi,
  MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures,,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2023 (arXiv 2208.00277 [cs.GR]).
   
• Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas Funkhouser, Bharath Hariharan, Serge Belongie,
  Polynomial Neural Fields for Subband Decomposition and Manipulation,
  Neural Information Processing Systems (NeurIPS), November 2022.
   
• Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser,
  Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower,
  IEEE Robotics and Automation Letters (RA-L), also in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2022 (arXiv 2204.02390 [cs.RO]).
   
• Zhiqin Chen, Andrea Tagliasacchi, Thomas Funkhouser, Hao Zhang,
  Neural Dual Contouring,
  ACM Transactions on Graphics (Proc. SIGGRAPH), August 2022 (arXiv 2202.01999 [cs.CV]).
   
• Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas Funkhouser,
  Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022 (arXiv 2205.04334 [cs.CV]).
   
• Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas Funkhouser, and Vittorio Ferrari,
  Urban Radiance Fields,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022 (arXiv 2111.14643 [cs.CV]).
   
• Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi,
  Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022 (arXiv 2111.13152 [cs.CV]).
   
• Christian Diller, Thomas Funkhouser, and Angela Dai,
  Forecasting Characteristic 3D Poses of Human Actions,
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022 (arXiv 2011.15079 [cs.CV]).
   
• Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov,
  Revisiting 3D Object Detection From an Egocentric Perspective,
  Neural Information Processing Systems (NeurIPS), December 2021 (arXiv 2112.07787 [cs.CV]).
   
• Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, and Thomas Funkhouser,
  Learning 3D Semantic Segmentation with only 2D Image Supervision,
  International Conference on 3D Vision (3DV), oral, December 2021 (arXiv 2110.11325 [cs.CV]).
   
• 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]).
   

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, 2022
• 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, 2022
• 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
• Area chair, ICCV, 2021
• Area chair, CVPR, 2020

Recent Graduate Students and Postdocs:

• Fangyin Wei (Fifth year, co-advised with Szymon Rusinkiewicz)
• Jimmy Wu (Fifth year, co-advised with Szymon Rusinkiewicz)
• Manolis Savva (Postdoc 2016-2018: Assistant Professor at Simon Fraser University)
• Angel Chang (Postdoc 2016-2018: 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)
• Kyle Genova (Ph.D. 2021: Google)
• Andy Zeng (Ph.D. 2019: Google)
• Maciej Halber (Ph.D. 2019: Dolby)
• Elena Sizikova (Ph.D. 2019: Faculty Fellow 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: Full Professor at John Hopkins)
• Patrick Min (Ph.D. 2004: Freelance)
• Rudro Samanta (Ph.D. 2002: Pixar)