| PointCNN: Convolution on -Transformed Points Y Li, R Bu, M Sun, W Wu, X Di, B Chen Advances in Neural Information Processing Systems, 820-830, 2018 | 2568* | 2018 |
| Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views H Su, CR Qi, Y Li, L Guibas 2015 IEEE International Conference on Computer Vision, 2015 | 883 | 2015 |
| Globfit: Consistently fitting primitives by discovering global relations Y Li, X Wu, Y Chrysathou, A Sharf, D Cohen-Or, NJ Mitra ACM SIGGRAPH 2011 papers, 1-12, 2011 | 384 | 2011 |
| FPNN: Field Probing Neural Networks for 3D Data Y Li, S Pirk, H Su, CR Qi, LJ Guibas 2016 Neural Information Processing Systems, 2016 | 333 | 2016 |
| Synthesizing Training Images for Boosting Human 3D Pose Estimation W Chen, H Wang, Y Li, H Su, D Lischinsk, D Cohen-Or, B Chen 2016 International Conference on 3D Vision, 2016 | 319 | 2016 |
| Database-Assisted Object Retrieval for Real-Time 3D Reconstruction Y Li, A Dai, L Guibas, M Nießner Computer Graphics Forum 34 (2), 435-446, 2015 | 217 | 2015 |
| Joint embeddings of shapes and images via CNN image purification Y Li, H Su, CR Qi, N Fish, D Cohen-Or, LJ Guibas ACM Transactions on Graphics (TOG) 34 (6), 234, 2015 | 209 | 2015 |
| SHREC’16 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... 2016 Eurographics Workshop on 3D Object Retrieval, 2016 | 163 | 2016 |
| Non-local scan consolidation for 3D urban scenes Q Zheng, A Sharf, G Wan, Y Li, NJ Mitra, D Cohen-Or, B Chen ACM Trans. Graph. 29 (4), 94:1-94:9, 2010 | 162 | 2010 |
| Analyzing growing plants from 4D point cloud data Y Li, X Fan, NJ Mitra, D Chamovitz, D Cohen-Or, B Chen ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013 | 133 | 2013 |
| Activity-centric scene synthesis for functional 3D scene modeling M Fisher, M Savva, Y Li, P Hanrahan, M Nießner ACM Transactions on Graphics (TOG) 34 (6), 179, 2015 | 121 | 2015 |
| Face identity disentanglement via latent space mapping Y Nitzan, A Bermano, Y Li, D Cohen-Or arXiv preprint arXiv:2005.07728, 2020 | 115* | 2020 |
| 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, 2022 | 114 | 2022 |
| Estimating image depth using shape collections H Su, Q Huang, NJ Mitra, Y Li, L Guibas ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014 | 107 | 2014 |
| 2D-3D fusion for layer decomposition of urban facades Y Li, Q Zheng, A Sharf, D Cohen-Or, B Chen, NJ Mitra 2011 International Conference on Computer Vision, 882-889, 2011 | 107 | 2011 |
| 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 |
| Large-scale 3d shape reconstruction and segmentation from shapenet core55 L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ... arXiv preprint arXiv:1710.06104, 2017 | 71 | 2017 |
| 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 |
| Selecting precise reference normal tissue samples for cancer research using a deep learning approach WZD Zeng, BS Glicksberg, Y Li, B Chen BMC Medical Genomics 12, 179-189, 2019 | 40 | 2019 |
| Knowledge-based trajectory completion from sparse GPS samples Y Li, Y Li, D Gunopulos, L Guibas Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016 | 37 | 2016 |
Baoquan ChenPeking University在 pku.edu.cn 的电子邮件经过验证
