| Pointnet: Deep learning on point sets for 3d classification and segmentation CR Qi, H Su, K Mo, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 14386 | 2017 |
| Pointnet++: Deep hierarchical feature learning on point sets in a metric space CR Qi, L Yi, H Su, LJ Guibas Advances in neural information processing systems 30, 2017 | 11862 | 2017 |
| The earth mover's distance as a metric for image retrieval Y Rubner, C Tomasi, LJ Guibas International journal of computer vision 40, 99-121, 2000 | 6558 | 2000 |
| 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 | 5605 | 2015 |
| PointNet: Deep learning on point sets for 3D classification and segmentation RQ Charles, H Su, M Kaichun, LJ Guibas 2017 IEEE conference on computer vision and pattern recognition (CVPR), 77-85, 2017 | 2885 | 2017 |
| Frustum pointnets for 3d object detection from rgb-d data CR Qi, W Liu, C Wu, H Su, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 2809 | 2018 |
| Kpconv: Flexible and deformable convolution for point clouds H Thomas, CR Qi, JE Deschaud, B Marcotegui, F Goulette, LJ Guibas Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 2718 | 2019 |
| A point set generation network for 3d object reconstruction from a single image H Fan, H Su, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2451 | 2017 |
| A metric for distributions with applications to image databases Y Rubner, C Tomasi, LJ Guibas Sixth international conference on computer vision (IEEE Cat. No. 98CH36271 …, 1998 | 2369 | 1998 |
| Primitives for the manipulation of general subdivisions and the computation of Voronoi L Guibas, J Stolfi ACM transactions on graphics (TOG) 4 (2), 74-123, 1985 | 2141 | 1985 |
| Wireless sensor networks: an information processing approach F Zhao, LJ Guibas Morgan Kaufmann, 2004 | 2065 | 2004 |
| Volumetric and multi-view cnns for object classification on 3d data CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1948 | 2016 |
| A concise and provably informative multi‐scale signature based on heat diffusion J Sun, M Ovsjanikov, L Guibas Computer graphics forum 28 (5), 1383-1392, 2009 | 1930 | 2009 |
| Handbook of discrete and computational geometry CD Toth, J O'Rourke, JE Goodman CRC press, 2017 | 1906 | 2017 |
| Learning representations and generative models for 3d point clouds P Achlioptas, O Diamanti, I Mitliagkas, L Guibas International conference on machine learning, 40-49, 2018 | 1531 | 2018 |
| Deep knowledge tracing C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems 28, 2015 | 1514 | 2015 |
| Taskonomy: Disentangling task transfer learning AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1396 | 2018 |
| Deep hough voting for 3d object detection in point clouds CR Qi, O Litany, K He, LJ Guibas proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 1348 | 2019 |
| A scalable active framework for region annotation in 3d shape collections L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016 | 1188 | 2016 |
| Efficient geometry-aware 3d generative adversarial networks ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1119 | 2022 |
Hao SuUCSD CSEVerified email at ucsd.edu
