| An interactive approach to semantic modeling of indoor scenes with an rgbd camera T Shao, W Xu, K Zhou, J Wang, D Li, B Guo ACM Transactions on Graphics (TOG) 31 (6), 1-11, 2012 | 266 | 2012 |
| Sampling-based contact-rich motion control L Liu, KK Yin, M Van de Panne, T Shao, W Xu ACM SIGGRAPH 2010 papers, 1-10, 2010 | 207 | 2010 |
| Real-time facial animation with image-based dynamic avatars C Cao, H Wu, Y Weng, T Shao, K Zhou ACM Transactions on Graphics 35 (4), 2016 | 177 | 2016 |
| Warp-guided gans for single-photo facial animation J Geng, T Shao, Y Zheng, Y Weng, K Zhou ACM Transactions on Graphics (ToG) 37 (6), 1-12, 2018 | 151 | 2018 |
| Towards high-fidelity 3d face reconstruction from in-the-wild images using graph convolutional networks J Lin, Y Yuan, T Shao, K Zhou Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 133 | 2020 |
| Autohair: Fully automatic hair modeling from a single image M Chai, T Shao, H Wu, Y Weng, K Zhou ACM Transactions on Graphics 35 (4), 2016 | 115 | 2016 |
| Discriminative sketch‐based 3d model retrieval via robust shape matching T Shao, W Xu, K Yin, J Wang, K Zhou, B Guo Computer Graphics Forum 30 (7), 2011-2020, 2011 | 87 | 2011 |
| Imagining the unseen: Stability-based cuboid arrangements for scene understanding T Shao, A Monszpart, Y Zheng, B Koo, W Xu, K Zhou, NJ Mitra ACM Transactions on Graphics 33 (6), 2014 | 81 | 2014 |
| Embedmask: Embedding coupling for one-stage instance segmentation H Ying, Z Huang, S Liu, T Shao, K Zhou arXiv preprint arXiv:1912.01954, 2019 | 63 | 2019 |
| Learning an intrinsic garment space for interactive authoring of garment animation TY Wang, T Shao, K Fu, NJ Mitra ACM Transactions on Graphics (TOG) 38 (6), 1-12, 2019 | 61 | 2019 |
| Mesh guided one-shot face reenactment using graph convolutional networks G Yao, Y Yuan, T Shao, K Zhou Proceedings of the 28th ACM international conference on multimedia, 1773-1781, 2020 | 55 | 2020 |
| Shape completion from a single rgbd image D Li, T Shao, H Wu, K Zhou IEEE transactions on visualization and computer graphics 23 (7), 1809-1822, 2016 | 54 | 2016 |
| NNWarp: Neural network-based nonlinear deformation R Luo, T Shao, H Wang, W Xu, X Chen, K Zhou, Y Yang IEEE transactions on visualization and computer graphics 26 (4), 1745-1759, 2018 | 46 | 2018 |
| Understanding the robustness of skeleton-based action recognition under adversarial attack H Wang, F He, Z Peng, T Shao, YL Yang, K Zhou, D Hogg Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 44 | 2021 |
| Interpreting concept sketches T Shao, W Li, K Zhou, W Xu, B Guo, NJ Mitra ACM Transactions on Graphics (TOG) 32 (4), 1-10, 2013 | 44 | 2013 |
| High-order differentiable autoencoder for nonlinear model reduction S Shen, Y Yin, T Shao, H Wang, C Jiang, L Lan, K Zhou arXiv preprint arXiv:2102.11026, 2021 | 42 | 2021 |
| Dynamic furniture modeling through assembly instructions T Shao, D Li, Y Rong, C Zheng, K Zhou ACM Transactions on Graphics 35 (6), 2016 | 37 | 2016 |
| BASAR: black-box attack on skeletal action recognition Y Diao, T Shao, YL Yang, K Zhou, H Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36 | 2021 |
| H-CNN: Spatial hashing based CNN for 3D shape analysis T Shao, Y Yang, Y Weng, Q Hou, K Zhou IEEE transactions on visualization and computer graphics 26 (7), 2403-2416, 2018 | 33 | 2018 |
| Predicting loose-fitting garment deformations using bone-driven motion networks X Pan, J Mai, X Jiang, D Tang, J Li, T Shao, K Zhou, X Jin, D Manocha ACM SIGGRAPH 2022 Conference Proceedings, 1-10, 2022 | 32 | 2022 |
