| 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 | 970 | 2015 |
| Reassembling fractured objects by geometric matching QX Huang, S Flöry, N Gelfand, M Hofer, H Pottmann ACM Transactions on Graphics (TOG) 25 (3), 569-578, 2006 | 365 | 2006 |
| Non‐Rigid Registration Under Isometric Deformations QX Huang, B Adams, M Wicke, LJ Guibas Computer Graphics Forum 27 (5), 1449-1457, 2008 | 277 | 2008 |
| Integral invariants for robust geometry processing H Pottmann, J Wallner, QX Huang, YL Yang Computer Aided Geometric Design 26 (1), 37-60, 2009 | 236 | 2009 |
| Geometry and convergence analysis of algorithms for registration of 3D shapes H Pottmann, QX Huang, YL Yang, SM Hu International Journal of Computer Vision 67 (3), 277-296, 2006 | 191 | 2006 |
| Towards 3d human pose estimation in the wild: a weakly-supervised approach X Zhou, Q Huang, X Sun, X Xue, Y Wei Proceedings of the IEEE International Conference on Computer Vision, 398-407, 2017 | 186 | 2017 |
| A scalable active framework for region annotation in 3d shape collections L Yi, VG Kim, D Ceylan, I Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ... ACM Transactions on Graphics (TOG) 35 (6), 210, 2016 | 176 | 2016 |
| Joint shape segmentation with linear programming Q Huang, V Koltun, L Guibas ACM transactions on graphics (TOG) 30 (6), 125, 2011 | 173 | 2011 |
| Consistent shape maps via semidefinite programming QX Huang, L Guibas Computer Graphics Forum 32 (5), 177-186, 2013 | 150 | 2013 |
| Learning dense correspondence via 3d-guided cycle consistency T Zhou, P Krahenbuhl, M Aubry, Q Huang, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 147 | 2016 |
| Structure-aware shape processing NJ Mitra, M Wand, H Zhang, D Cohen-Or, V Kim, QX Huang ACM SIGGRAPH 2014 Courses, 13, 2014 | 142* | 2014 |
| Dense human body correspondences using convolutional networks L Wei, Q Huang, D Ceylan, E Vouga, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 125 | 2016 |
| Reconstruction of deforming geometry from time-varying point clouds M Wand, P Jenke, Q Huang, M Bokeloh, L Guibas, A Schilling Symposium on Geometry processing, 49-58, 2007 | 120 | 2007 |
| Single-view reconstruction via joint analysis of image and shape collections Q Huang, H Wang, V Koltun ACM Transactions on Graphics (TOG) 34 (4), 87, 2015 | 107 | 2015 |
| Functional map networks for analyzing and exploring large shape collections Q Huang, F Wang, L Guibas ACM Transactions on Graphics (TOG) 33 (4), 36, 2014 | 105 | 2014 |
| Image Co-Segmentation via Consistent Functional Maps F Wang, Q Huang, LJ Guibas ICCV, 2013 | 90 | 2013 |
| Estimating Image Depth using Shape Collections H Su, Q Huang, N Mitra, Y Li, L Guibas ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014 | 88 | 2014 |
| Near-optimal joint object matching via convex relaxation Y Chen, LJ Guibas, QX Huang arXiv preprint arXiv:1402.1473, 2014 | 86 | 2014 |
| An optimization approach for extracting and encoding consistent maps in a shape collection QX Huang, GX Zhang, L Gao, SM Hu, A Butscher, L Guibas ACM Transactions on Graphics (TOG) 31 (6), 167, 2012 | 86 | 2012 |
| Shape decomposition using modal analysis QX Huang, M Wicke, B Adams, L Guibas Computer Graphics Forum 28 (2), 407-416, 2009 | 80 | 2009 |
Leonidas GuibasProfessor of Computer Science, Stanford University在 cs.stanford.edu 的電子郵件地址已通過驗證
