| 3d feature prediction for masked-autoencoder-based point cloud pretraining S Yan, Y Yang, Y Guo, H Pan, P Wang, X Tong, Y Liu, Q Huang arXiv preprint arXiv:2304.06911, 2023 | 7 | 2023 |
| 3d object classification via spherical projections Z Cao, Q Huang, R Karthik 2017 international conference on 3D Vision (3DV), 566-574, 2017 | 86 | 2017 |
| 4DRecons: 4D Neural Implicit Deformable Objects Reconstruction from a single RGB-D Camera with Geometrical and Topological Regularizations X Cong, H Yang, L Chen, K Zhang, L Yi, C Bajaj, Q Huang arXiv preprint arXiv:2406.10167, 2024 | | 2024 |
| A condition number for joint optimization of cycle-consistent networks LJ Guibas, Q Huang, Z Liang Advances in Neural Information Processing Systems 32, 2019 | 16 | 2019 |
| A condition number for non‐rigid shape matching M Ovsjanikov, QX Huang, L Guibas Computer Graphics Forum 30 (5), 1503-1512, 2011 | 25 | 2011 |
| A data‐driven approach to realistic shape morphing L Gao, YK Lai, QX Huang, SM Hu Computer graphics forum 32 (2pt4), 449-457, 2013 | 43 | 2013 |
| A faster algorithm for matching planar maps under the weak Fréchet distance D Chen, LJ Guibas, Q Huang, J Sun Unpublished, December, 2008 | 6 | 2008 |
| A hierarchical conditional random field model for labeling and segmenting images of street scenes Q Huang, M Han, B Wu, S Ioffe CVPR 2011, 1953-1960, 2011 | 112* | 2011 |
| A large-scale annotated mechanical components benchmark for classification and retrieval tasks with deep neural networks S Kim, H Chi, X Hu, Q Huang, K Ramani Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 106* | 2020 |
| A late fusion cnn for digital matting Y Zhang, L Gong, L Fan, P Ren, Q Huang, H Bao, W Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 169 | 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 | 1168 | 2016 |
| Advances in architectural geometry 2010 C Ceccato, L Hesselgren, M Pauly, H Pottmann, J Wallner Springer, 2010 | 74* | 2010 |
| 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), 1-11, 2012 | 104 | 2012 |
| An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes Using Pre-Trained Text-to-Image Models Z Zhao, C Song, X Gu, Y Dong, Q Zuo, W Yuan, Z Dong, L Bo, Q Huang arXiv preprint arXiv:2403.15559, 2024 | | 2024 |
| Approximate merging of B-spline curves via knot adjustment and constrained optimization CL Tai, SM Hu, QX Huang Computer-Aided Design 35 (10), 893-899, 2003 | 66 | 2003 |
| Arapreg: An as-rigid-as possible regularization loss for learning deformable shape generators Q Huang, X Huang, B Sun, Z Zhang, J Jiang, C Bajaj Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 27 | 2021 |
| Attention-guided temporally coherent video object matting Y Zhang, C Wang, M Cui, P Ren, X Xie, XS Hua, H Bao, Q Huang, W Xu Proceedings of the 29th ACM International Conference on Multimedia, 5128-5137, 2021 | 29 | 2021 |
| Automatic and Robust Mult-View Registration QX Huang, H Pottmann | 6 | 2005 |
| Bayesian surface reconstruction via iterative scan alignment to an optimized prototype H Qixing, B Adams, M Wand SGP'07: Proceedings of the fifth Eurographics symposium on Geometry …, 2007 | 47 | 2007 |
| Capturing dynamic textured surfaces of moving targets R Wang, L Wei, E Vouga, Q Huang, D Ceylan, G Medioni, H Li Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 52 | 2016 |
Leonidas GuibasProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
