Mikaela Angelina Uy

According to our database, Mikaela Angelina Uy authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process.

Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas

CoRR, 2024

2023

OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation.

Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung

Comput. Graph. Forum, October, 2023

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.

Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas

CoRR, 2023

PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision.

Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas

CoRR, 2023

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering.

Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.

George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates.

Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generating Part-Aware Editable 3D Shapes without 3D Supervision.

Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders.

Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Joint Learning of 3D Shape Retrieval and Deformation.

Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deformation-Aware 3D Model Embedding and Retrieval.

Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas

Proceedings of the Computer Vision - ECCV 2020, 2020

LCD: Learned Cross-Domain Descriptors for 2D-3D Matching.

Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data.

Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition.

Mikaela Angelina Uy, Gim Hee Lee

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018