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 | 665 | 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 | 512 | 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 | 58 | 2020 |
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 | 44 | 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 | 34 | 2021 |
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 | 32 | 2022 |
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 | 12 | 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 | 10 | 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 | 7 | 2023 |
Nerf revisited: Fixing quadrature instability in volume rendering MA Uy, K Nakayama, G Yang, RK Thomas, L Guibas, K Li arXiv preprint arXiv:2310.20685, 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 |
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 | 1 | 2023 |
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 | | 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 |
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, ... | | |
Interpretable & Actionable Models using Attribute & Uncertainty Information YS Tang, MA Uy, O Hsu | | |
Supplementary Materials for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data MA Uy, QH Pham, BSHDT Nguyen, SK Yeung | | |