| GSPN: Generative shape proposal network for 3d instance segmentation in point cloud L Yi, W Zhao, H Wang, M Sung, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2019 | 374 | 2019 |
| Supervised fitting of geometric primitives to 3d point clouds L Li, M Sung, A Dubrovina, L Yi, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 237 | 2019 |
| Data-driven structural priors for shape completion M Sung, VG Kim, R Angst, L Guibas ACM Transactions on Graphics (TOG) 34 (6), 1-11, 2015 | 184 | 2015 |
| ComplementMe: weakly-supervised component suggestions for 3D modeling M Sung, H Su, VG Kim, S Chaudhuri, L Guibas ACM Transactions on Graphics (TOG) 36 (6), 1-12, 2017 | 113 | 2017 |
| Learning 3d part assembly from a single image Y Li, K Mo, L Shao, M Sung, L Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 73 | 2020 |
| Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders MA Uy, YY Chang, M Sung, P Goel, JG Lambourne, T Birdal, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 61 | 2022 |
| Multibodysync: Multi-body segmentation and motion estimation via 3d scan synchronization J Huang, H Wang, T Birdal, M Sung, F Arrigoni, SM Hu, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 55 | 2021 |
| Syncdiffusion: Coherent montage via synchronized joint diffusions Y Lee, K Kim, H Kim, M Sung Advances in Neural Information Processing Systems 36, 50648-50660, 2023 | 52 | 2023 |
| Deformation-aware 3d model embedding and retrieval MA Uy, J Huang, M Sung, T Birdal, L Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 48 | 2020 |
| Salad: Part-level latent diffusion for 3d shape generation and manipulation J Koo, S Yoo, MH Nguyen, M Sung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 43 | 2023 |
| Joint learning of 3d shape retrieval and deformation MA Uy, VG Kim, M Sung, N Aigerman, S Chaudhuri, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Ctrl-c: Camera calibration transformer with line-classification J Lee, H Go, H Lee, S Cho, M Sung, J Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 41 | 2021 |
| Pix2surf: Learning parametric 3d surface models of objects from images J Lei, S Sridhar, P Guerrero, M Sung, N Mitra, LJ Guibas European Conference on Computer Vision, 121-138, 2020 | 41 | 2020 |
| Deep functional dictionaries: Learning consistent semantic structures on 3d models from functions M Sung, H Su, R Yu, LJ Guibas Advances in Neural Information Processing Systems 31, 2018 | 41 | 2018 |
| Deepmetahandles: Learning deformation meta-handles of 3d meshes with biharmonic coordinates M Liu, M Sung, R Mech, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| Cpfn: Cascaded primitive fitting networks for high-resolution point clouds ET Lê, M Sung, D Ceylan, R Mech, T Boubekeur, NJ Mitra Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 38 | 2021 |
| Implicit LiDAR network: LiDAR super-resolution via interpolation weight prediction Y Kwon, M Sung, SE Yoon 2022 international conference on robotics and automation (ICRA), 8424-8430, 2022 | 32 | 2022 |
| PartGlot: Learning Shape Part Segmentation from Language Reference Games J Koo, I Huang, P Achlioptas, LJ Guibas, M Sung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations P Achlioptas, I Huang, M Sung, S Tulyakov, L Guibas Conference on Computer Vision and Pattern Recognition (CVPR) 2, 2022 | 30* | 2022 |
| DeformSyncNet: Deformation transfer via synchronized shape deformation spaces M Sung, Z Jiang, P Achlioptas, NJ Mitra, LJ Guibas arXiv preprint arXiv:2009.01456, 2020 | 28 | 2020 |
Leonidas GuibasProfessor of Computer Science, Stanford University確認したメール アドレス: cs.stanford.edu