| 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 | 6085 | 2015 |
| 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 | 1254 | 2016 |
| Pvnet: Pixel-wise voting network for 6dof pose estimation S Peng, Y Liu, Q Huang, X Zhou, H Bao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1217 | 2019 |
| 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 | 772 | 2017 |
| Reassembling fractured objects by geometric matching QX Huang, S Flöry, N Gelfand, M Hofer, H Pottmann ACM SIGGRAPH 2006 Papers, 569-578, 2006 | 500 | 2006 |
| 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 | 441 | 2016 |
| NonRigid Registration Under Isometric Deformations QX Huang, B Adams, M Wicke, LJ Guibas Computer Graphics Forum 27 (5), 1449-1457, 2008 | 388 | 2008 |
| Hybridpose: 6d object pose estimation under hybrid representations C Song, J Song, Q Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 311 | 2020 |
| Fast and robust multi-person 3d pose estimation from multiple views J Dong, W Jiang, Q Huang, H Bao, X Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 311* | 2019 |
| Integral invariants for robust geometry processing H Pottmann, J Wallner, QX Huang, YL Yang Computer Aided Geometric Design 26 (1), 37-60, 2009 | 303 | 2009 |
| Infogcn: Representation learning for human skeleton-based action recognition H Chi, MH Ha, S Chi, SW Lee, Q Huang, K Ramani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 282* | 2022 |
| 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, 277-296, 2006 | 279 | 2006 |
| Consistent shape maps via semidefinite programming QX Huang, L Guibas Computer graphics forum 32 (5), 177-186, 2013 | 275 | 2013 |
| 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 | 240 | 2016 |
| Structure-aware shape processing NJ Mitra, M Wand, H Zhang, D Cohen-Or, V Kim, QX Huang ACM SIGGRAPH 2014 Courses, 1-21, 2014 | 234 | 2014 |
| Joint shape segmentation with linear programming Q Huang, V Koltun, L Guibas Proceedings of the 2011 SIGGRAPH Asia Conference, 1-12, 2011 | 226 | 2011 |
| Surfnet: Generating 3d shape surfaces using deep residual networks A Sinha, A Unmesh, Q Huang, K Ramani Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 209 | 2017 |
| H3dnet: 3d object detection using hybrid geometric primitives Z Zhang, B Sun, H Yang, Q Huang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 207 | 2020 |
| Connected fermat spirals for layered fabrication H Zhao, F Gu, QX Huang, J Garcia, Y Chen, C Tu, B Benes, H Zhang, ... ACM Transactions on Graphics (TOG) 35 (4), 1-10, 2016 | 187 | 2016 |
| Functional map networks for analyzing and exploring large shape collections Q Huang, F Wang, L Guibas ACM Transactions on Graphics (ToG) 33 (4), 1-11, 2014 | 181 | 2014 |
Leonidas GuibasProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
