| Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 6447 | 2015 |
| Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 4791 | 2017 |
| Shape distributions R Osada, T Funkhouser, B Chazelle, D Dobkin ACM Transactions on Graphics (TOG) 21 (4), 807-832, 2002 | 3225* | 2002 |
| Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop F Yu, A Seff, Y Zhang, S Song, T Funkhouser, J Xiao arXiv preprint arXiv:1506.03365, 2015 | 2648 | 2015 |
| Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017 | 2202 | 2017 |
| Dilated residual networks F Yu, V Koltun, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2175 | 2017 |
| The princeton shape benchmark P Shilane, P Min, M Kazhdan, T Funkhouser Proceedings Shape Modeling Applications, 2004., 167-178, 2004 | 2146 | 2004 |
| Rotation invariant spherical harmonic representation of 3 d shape descriptors M Kazhdan, T Funkhouser, S Rusinkiewicz Symposium on geometry processing 6, 156-164, 2003 | 1965 | 2003 |
| Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1474 | 2017 |
| A search engine for 3D models T Funkhouser, P Min, M Kazhdan, J Chen, A Halderman, D Dobkin, ... ACM Transactions on Graphics (TOG) 22 (1), 83-105, 2003 | 1456 | 2003 |
| 3dmatch: Learning local geometric descriptors from rgb-d reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1252 | 2017 |
| Adaptive display algorithm for interactive frame rates during visualization of complex virtual environments TA Funkhouser, CH Séquin Proceedings of the 20th annual conference on Computer graphics and …, 1993 | 1044 | 1993 |
| Ibrnet: Learning multi-view image-based rendering Q Wang, Z Wang, K Genova, PP Srinivasan, H Zhou, JT Barron, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 942 | 2021 |
| A benchmark for 3D mesh segmentation X Chen, A Golovinskiy, T Funkhouser Acm transactions on graphics (tog) 28 (3), 1-12, 2009 | 939 | 2009 |
| Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ... The International Journal of Robotics Research 41 (7), 690-705, 2022 | 829 | 2022 |
| Modeling by example T Funkhouser, M Kazhdan, P Shilane, P Min, W Kiefer, A Tal, ... ACM transactions on graphics (TOG) 23 (3), 652-663, 2004 | 797 | 2004 |
| Learning synergies between pushing and grasping with self-supervised deep reinforcement learning A Zeng, S Song, S Welker, J Lee, A Rodriguez, T Funkhouser 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 717 | 2018 |
| Local implicit grid representations for 3d scenes C Jiang, A Sud, A Makadia, J Huang, M Nießner, T Funkhouser Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 640 | 2020 |
| Shape-based recognition of 3D point clouds in urban environments A Golovinskiy, VG Kim, T Funkhouser 2009 IEEE 12th International Conference on Computer Vision, 2154-2161, 2009 | 579 | 2009 |
| Blended intrinsic maps VG Kim, Y Lipman, T Funkhouser ACM transactions on graphics (TOG) 30 (4), 1-12, 2011 | 574 | 2011 |
