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Mikaela Angelina Uy

17 papers · 2018–2026 · 5 venues · across top CS/AI venues

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Achievements

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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (28) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (12) πŸ—ƒοΈ Keyword Collector (78) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

CVPR (7) ICCV (5) NeurIPS (3) AAAI (1) ECCV (1)

Top co-authors

Leonidas Guibas (7) Minhyuk Sung (5) Ke Li (5) Leonidas J. Guibas (2) Quang-Hieu Pham (2) Nicholas Sharp (2) Tolga Birdal (2) Binh-Son Hua (2) Kiyohiro Nakayama (2) Sai-Kit Yeung (2)

Research topics

Computer Vision (14) Analysis (13) Deep Learning (11) Machine Learning (8) Architectures (6) Artificial Intelligence (5) Core AI (5) Core Methods (5) Models (5) Generation (4) Computer Science (3) Applications (3) Domain-Specific (2) Learning Types (2) Mathematics & Optimization (1)

Keywords

neural radiance field (4) 3d reconstruction (3) novel view synthesis (3) neural network (3) generative model (3) 3d vision (2) point cloud (2) implicit maximum likelihood estimation (2) cad model (2) spatial reasoning (2) vision-language model (2) extrusion cylinder (2) joint learning (1) point cloud generation (1) depth estimation (1) scene understanding (1) contrastive learning (1) bias detection (1) hierarchical decomposition (1) multimodal learning (1)

Papers

Learning Convex Decomposition via Feature Fields CVPR 2026 SpaceTools: Tool-Augmented Spatial Reasoning via Double Interactive RL CVPR 2026 Global Motion Corresponder for 3D Point-Based Scene Interpolation under Large Motion ICCV 2025 PartField: Learning 3D Feature Fields for Part Segmentation and Beyond ICCV 2025 Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation ICCV 2025 MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images NeurIPS 2024 ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field NeurIPS 2024 DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion ICCV 2023 Generating Part-Aware Editable 3D Shapes Without 3D Supervision CVPR 2023 NeRF Revisited: Fixing Quadrature Instability in Volume Rendering NeurIPS 2023 SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023 Point2Cyl: Reverse Engineering 3D Objects From Point Clouds to Extrusion Cylinders CVPR 2022 Joint Learning of 3D Shape Retrieval and Deformation CVPR 2021 Deformation-Aware 3D Model Embedding and Retrieval ECCV 2020 LCD: Learned Cross-Domain Descriptors for 2D-3D Matching AAAI 2020 Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data ICCV 2019 PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition CVPR 2018