Sotabase

Career

· Research Scientist, NVIDIA2024–
· Research Intern, Google2023–
· Research Intern, Autodesk AI Lab2021–2021
· Research Intern, Adobe Research2020–2020
· PhD in Computer Science, Stanford University2019–2024
· Research Assistant, Hong Kong University of Science and Technology2018–2019
· Master of Computing (Computer Science), National University of Singapore2017–2018
· BSc. in Mathematics and Computer Science, Hong Kong University of Science and Technology2013–2017

Publications (24)

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
IEEE International Conference on Computer Vision · 2019
964
cited
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
647
cited
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
AAAI Conference on Artificial Intelligence · 2019
87
cited
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
Computer Vision and Pattern Recognition · 2021
77
cited
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
75
cited
Joint Learning of 3D Shape Retrieval and Deformation
Computer Vision and Pattern Recognition · 2021
50
cited
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
Computer Vision and Pattern Recognition · 2023
49
cited
Deformation-Aware 3D Model Embedding and Retrieval
European Conference on Computer Vision · 2020
44
cited
PARTFIELD: Learning 3D Feature Fields for Part Segmentation and Beyond
arXiv.org · 2025
41
cited
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
IEEE International Conference on Computer Vision · 2023
40
cited
Generating Part-Aware Editable 3D Shapes without 3D Supervision
Computer Vision and Pattern Recognition · 2023
40
cited
Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia · 2024
25
cited
Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation
arXiv.org · 2025
17
cited
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
Neural Information Processing Systems · 2023
12
cited
Monocular Dynamic Gaussian Splatting: Fast, Brittle, and Scene Complexity Rules
Trans. Mach. Learn. Res. · 2024
5
cited
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images
Neural Information Processing Systems · 2024
4
cited
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation
Computer graphics forum (Print) · 2023
3
cited
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field
Neural Information Processing Systems · 2024
1
cited
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process
arXiv.org · 2024
1
cited
Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion
2025
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Mikaela Angelina Uy | Researcher Profile | Sotabase | Sotabase