| Build-to-last: Strength to weight 3D printed objects L Lu, A Sharf, H Zhao, Y Wei, Q Fan, X Chen, Y Savoye, C Tu, ... ACM Transactions on Graphics (ToG) 33 (4), 1-10, 2014 | 377 | 2014 |
| Synthesizing training images for boosting human 3d pose estimation W Chen, H Wang, Y Li, H Su, Z Wang, C Tu, D Lischinski, D Cohen-Or, ... 2016 Fourth International Conference on 3D Vision (3DV), 479-488, 2016 | 319 | 2016 |
| Grains: Generative recursive autoencoders for indoor scenes M Li, AG Patil, K Xu, S Chaudhuri, O Khan, A Shamir, C Tu, B Chen, ... ACM Transactions on Graphics (TOG) 38 (2), 1-16, 2019 | 179 | 2019 |
| 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 | 158 | 2016 |
| Human pose estimation from monocular images: A comprehensive survey W Gong, X Zhang, J Gonzàlez, A Sobral, T Bouwmans, C Tu, E Zahzah Sensors 16 (12), 1966, 2016 | 156 | 2016 |
| Medial axis tree—an internal supporting structure for 3D printing X Zhang, Y Xia, J Wang, Z Yang, C Tu, W Wang Computer Aided Geometric Design 35, 149-162, 2015 | 114 | 2015 |
| Do-conv: Depthwise over-parameterized convolutional layer J Cao, Y Li, M Sun, Y Chen, D Lischinski, D Cohen-Or, B Chen, C Tu IEEE Transactions on Image Processing 31, 3726-3736, 2022 | 112 | 2022 |
| Shapeconv: Shape-aware convolutional layer for indoor rgb-d semantic segmentation J Cao, H Leng, D Lischinski, D Cohen-Or, C Tu, Y Li Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 81 | 2021 |
| Enhancing Levin's method for computing quadric-surface intersections W Wang, R Goldman, C Tu Computer Aided Geometric Design 20 (7), 401-422, 2003 | 67 | 2003 |
| Dida: Disentangled synthesis for domain adaptation J Cao, O Katzir, P Jiang, D Lischinski, D Cohen-Or, C Tu, Y Li arXiv preprint arXiv:1805.08019, 2018 | 64 | 2018 |
| Classification of gait anomalies from kinect Q Li, Y Wang, A Sharf, Y Cao, C Tu, B Chen, S Yu The Visual Computer 34, 229-241, 2018 | 61 | 2018 |
| Using signature sequences to classify intersection curves of two quadrics C Tu, W Wang, B Mourrain, J Wang Computer Aided Geometric Design 26 (3), 317-335, 2009 | 61* | 2009 |
| Centroidal power diagrams with capacity constraints: Computation, applications, and extension SQ Xin, B Lévy, Z Chen, L Chu, Y Yu, C Tu, W Wang ACM Transactions on Graphics (TOG) 35 (6), 1-12, 2016 | 60 | 2016 |
| Unsupervised learning of intrinsic structural representation points N Chen, L Liu, Z Cui, R Chen, D Ceylan, C Tu, W Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 52 | 2020 |
| Region-based bas-relief generation from a single image Q Zeng, RR Martin, L Wang, JA Quinn, Y Sun, C Tu Graphical models 76 (3), 140-151, 2014 | 37 | 2014 |
| DSCarver: decompose-and-spiral-carve for subtractive manufacturing H Zhao, H Zhang, S Xin, Y Deng, C Tu, W Wang, D Cohen-Or, B Chen ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018 | 29 | 2018 |
| Difnet: Semantic segmentation by diffusion networks P Jiang, F Gu, Y Wang, C Tu, B Chen Advances in Neural Information Processing Systems 31, 2018 | 29 | 2018 |
| Hallucinating stereoscopy from a single image Q Zeng, W Chen, H Wang, C Tu, D Cohen‐Or, D Lischinski, B Chen Computer Graphics Forum 34 (2), 1-12, 2015 | 20 | 2015 |
| Scribble-supervised semantic segmentation by uncertainty reduction on neural representation and self-supervision on neural eigenspace Z Pan, P Jiang, Y Wang, C Tu, AG Cohn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| DeepPipes: Learning 3D pipelines reconstruction from point clouds L Cheng, Z Wei, M Sun, S Xin, A Sharf, Y Li, B Chen, C Tu Graphical Models 111, 101079, 2020 | 16 | 2020 |
Wenping WangTexas A&M UniversityПотвърден имейл адрес: tamu.edu
