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ORCIDZhaoyang Wang 0001
Person information
- affiliation: Catholic University of America, Department of Mechanical Engineering, Washington, D.C., DC, USA
- affiliation (PhD 2000): Tsinghua University, Beijing, China
Other persons with the same name
- Zhaoyang Wang — disambiguation page
- Zhaoyang Wang 0002
![[0000-0002-1487-7079]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-1487-7079")
— Harbin Engineering University, College of Intelligent Systems Science and Engineering, China (and 1 more) - Zhaoyang Wang 0003 — Xidian University, School of Electronic Engineering, Xi'an, China
- Zhaoyang Wang 0004 — University of North Carolina at Chapel Hill, USA
- Zhaoyang Wang 0005 — Beijing Normal University, School of Mathematical Sciences, Laboratory of Mathematics and Complex Systems, China (and 1 more)
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2020 – today
- 2024
[j6]Andrew-Hieu Nguyen, Zhaoyang Wang:
Single-Shot 3D Reconstruction via Nonlinear Fringe Transformation: Supervised and Unsupervised Learning Approaches. Sensors 24(10): 3246 (2024)- 2023
- [j5]Andrew-Hieu Nguyen, Olivia Rees, Zhaoyang Wang:
Learning-based 3D imaging from single structured-light image. Graph. Model. 126: 101171 (2023) - [j4]Andrew-Hieu Nguyen, Khanh L. Ly, Van Khanh Lam, Zhaoyang Wang:
Generalized Fringe-to-Phase Framework for Single-Shot 3D Reconstruction Integrating Structured Light with Deep Learning. Sensors 23(9): 4209 (2023) - [j3]Andrew-Hieu Nguyen, Zhaoyang Wang:
Time-Distributed Framework for 3D Reconstruction Integrating Fringe Projection with Deep Learning. Sensors 23(16): 7284 (2023) - 2021
- [j2]Long Tian, Jianhui Zhao, Bing Pan, Zhaoyang Wang:
Full-Field Bridge Deflection Monitoring with Off-Axis Digital Image Correlation. Sensors 21(15): 5058 (2021) - 2020
- [j1]Andrew-Hieu Nguyen, Yuzeng Wang, Zhaoyang Wang:
Single-Shot 3D Shape Reconstruction Using Structured Light and Deep Convolutional Neural Networks. Sensors 20(13): 3718 (2020)
2010 – 2019
- 2019
- [i1]Andrew-Hieu Nguyen, Hui Li, Qiang Qiu, Yuzeng Wang, Zhaoyang Wang:
Single-shot 3D shape reconstruction using deep convolutional neural networks. CoRR abs/1909.07766 (2019)
Coauthor Index
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