| 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 | 13345 | 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 | 9313 | 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 | 6179 | 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 | 4564 | 2015 |
| 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 | 2358 | 2018 |
| 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 | 2284 | 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 | 2094 | 1985 |
| Wireless sensor networks: an information processing approach F Zhao, LJ Guibas Morgan Kaufmann, 2004 | 2064 | 2004 |
| 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 | 2059 | 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 | 2051 | 2017 |
| A concise and provably informative multiscale signature based on heat diffusion J Sun, M Ovsjanikov, L Guibas Computer graphics forum 28 (5), 1383-1392, 2009 | 1825 | 2009 |
| Handbook of discrete and computational geometry CD Toth, J O'Rourke, JE Goodman CRC press, 2017 | 1785 | 2017 |
| 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 | 1774 | 2016 |
| Deep knowledge tracing C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ... Advances in neural information processing systems 28, 2015 | 1230 | 2015 |
| 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 | 1210 | 2018 |
| 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 | 1193 | 2018 |
| A dichromatic framework for balanced trees LJ Guibas, R Sedgewick 19th Annual Symposium on Foundations of Computer Science (sfcs 1978), 8-21, 1978 | 1053 | 1978 |
| 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 | 1046 | 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 | 995 | 2016 |
| Locating and bypassing holes in sensor networks Q Fang, J Gao, LJ Guibas Mobile networks and Applications 11, 187-200, 2006 | 928 | 2006 |
Hao SuUCSD CSE在 ucsd.edu 的电子邮件经过验证
