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.
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]).
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), October 2017 (arXiv:1709.06158 [cs.CV]).
Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Nießner, ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight presentation, July 2017
(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,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation July 2017
(arXiv:1603.08182v2 [cs.CV]).
Shuran Song, Fisher Yu, Andy Zeng, Angel Chang, Manolis Savva, and Thomas Funkhouser, Semantic Scene Completion from a Single Depth Image,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, July 2017
(arXiv:1611.08974 [cs.CV]).
Fisher Yu, Vladlen Koltun, and Thomas Funkhouser Dilated Residual Networks,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.
Lecture, Learning from 3D Data,
Special Topics in Deep Learning Seminar, UC Berkeley, February 2018.
Invited talk, 3D Data for Data-Driven Scene Understanding,
Workshop on Computer Vision for Virtual Reality,
International Conference on Computer Vision (ICCV), October 2017.
