| Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data MA Uy, QH Pham, BS Hua, T Nguyen, SK Yeung Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 903 | 2019 |
| Pointnetvlad: Deep point cloud based retrieval for large-scale place recognition MA Uy, GH Lee Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 618 | 2018 |
| Lcd: Learned cross-domain descriptors for 2d-3d matching QH Pham, MA Uy, BS Hua, DT Nguyen, G Roig, SK Yeung Proceedings of the AAAI conference on artificial intelligence 34 (07), 11856 …, 2020 | 71 | 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 | 53 | 2022 |
| 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 | 47 | 2020 |
| 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 | 41 | 2021 |
| Scade: Nerfs from space carving with ambiguity-aware depth estimates MA Uy, R Martin-Brualla, L Guibas, K Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 31 | 2023 |
| Generating part-aware editable 3D shapes without 3D supervision K Tertikas, D Paschalidou, B Pan, JJ Park, MA Uy, I Emiris, Y Avrithis, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 27 | 2023 |
| Difffacto: Controllable part-based 3d point cloud generation with cross diffusion GK Nakayama, MA Uy, J Huang, SM Hu, K Li, L Guibas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| Nerf revisited: Fixing quadrature instability in volume rendering MA Uy, K Nakayama, G Yang, R Thomas, LJ Guibas, K Li Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Dynamic gaussian marbles for novel view synthesis of casual monocular videos C Stearns, A Harley, M Uy, F Dubost, F Tombari, G Wetzstein, L Guibas arXiv preprint arXiv:2406.18717, 2024 | 4 | 2024 |
| Proceedings of the IEEE/CVF international conference on computer vision MA Uy, QH Pham, BS Hua, T Nguyen, SK Yeung | 4 | 2019 |
| OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation K Kim, M Angelina Uy, D Paschalidou, A Jacobson, LJ Guibas, M Sung Computer Graphics Forum 42 (7), e14963, 2023 | 3 | 2023 |
| Joint retrieval and mesh deformation MA UY, V Kim, M Sung, N Aigerman, S Chaudhuri US Patent App. 17/153,380, 2022 | 2 | 2022 |
| Img2cad: Reverse engineering 3d cad models from images through vlm-assisted conditional factorization Y You, MA Uy, J Han, R Thomas, H Zhang, S You, L Guibas arXiv preprint arXiv:2408.01437, 2024 | 1 | 2024 |
| ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process K Nakayama, MA Uy, Y You, K Li, L Guibas arXiv preprint arXiv:2401.08140, 2024 | 1 | 2024 |
| MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images E Hong, MH Nguyen, MA Uy, M Sung arXiv preprint arXiv:2406.10853, 2024 | | 2024 |
| NeRF Revisited: Fixing Quadrature Instability in Volume Rendering M Angelina Uy, K Nakayama, G Yang, R Krishna Thomas, L Guibas, K Li arXiv e-prints, arXiv: 2310.20685, 2023 | | 2023 |
| ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field K Nakayama, MA Uy, Y You, K Li, L Guibas The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
| Supplementary Material for Generating Part-Aware Editable 3D Shapes without 3D Supervision K Tertikas, D Paschalidou, B Pan, JJ Park, MA Uy, I Emiris, Y Avrithis, ... | | |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
