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Mikaela Angelina Uy
Mikaela Angelina Uy
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
6452019
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
4972018
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
562020
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
422020
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
342021
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
312022
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
102023
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
92023
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
62023
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
32023
Joint retrieval and mesh deformation
MA UY, V Kim, M Sung, N Aigerman, S Chaudhuri
US Patent App. 17/153,380, 2022
22022
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
12023
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
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Articles 1–17