Yujie Wang
Email: yujiew.cn@gmail.com
Address: 201 S. Columbia St., UNC-Chapel Hill, North Carolina
About Me.
I am currently a postdoctoral researcher in Computer Science at the University of North Carolina at Chapel Hill, hosted by Prof. Praneeth Chakravarthula.
I received my Ph.D. in 2024 from Shandong University, where I was supervised by Prof. Baoquan Chen, with most of my research conducted at the Visual Computing and Learning Lab (VCL), Peking University.
Prior to that, I earned my M.S. from Tianjin University and completed my undergraduate studies at Sichuan University.
My research interests lie in 3D scene reconstruction and generation, as well as computer-generated holography.
Publications.
DOF-GS: Adjustable Depth-of-Field 3D Gaussian Splatting for Post-Capture Refocusing, Defocus Rendering and Blur Removal
Yujie Wang, Praneeth Chakravarthula and Baoquan Chen
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
[Paper]
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency
Li Jin, Yujie Wang, Wenzheng Chen, Qiyu Dai, Qingzhe Gao, Baoquan Chen and Xueyin Qin
The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025
[Paper] [Project Page] [Github Repo]
Joint Neural Phase Retrieval and Compression for Energy- and Computation-Efficient Holography on the Edge
Best Paper Honorable Mention
Yujie Wang*, Praneeth Chakravarthula*, Qi Sun and Baoquan Chen
ACM Transactions on Graphics (presented at SIGGRAPH 2022 and IEEE VIS 2022)
[Paper] [Code]
SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene
Yujie Wang, Xuelin Chen and Baoquan Chen
Journal of Computer Science and Technology, 2024 (Arxiv, 2022.)
[Paper] [Project page]
High Quality Rendered Dataset and Non-local Graph Convolutional Network for Intrinsic Image Decomposition
Yujie Wang, Qingnan Fan, Kun Li, Dongdong Chen, Jingyu Yang, Jianzhi Lu, Dani Lischinski and Baoquan Chen
Journal of Image and Graphics (Chinese), 2022
[Paper] [Dataset and Bibtex] [Paper (PDF, English version)]
Sparse intrinsic decomposition and applications
Kun Li*, Yujie Wang*, Xinchen Ye, Chenggang Yan, and Jingyu Yang
Signal Processing: Image Communication, 2021
[Paper] [Code and Bibtex]
Intrinsic decomposition from a single RGB-D image with sparse and non-local priors
World’s FIRST 10K Best Paper Award
Yujie Wang, Kun Li, Jingyu Yang and Xinchen Ye
IEEE International Conference on Multimedia and Expo, ICME 2017, Hongkong, China.
[Paper] [Code]Research Experience.
2024.12-
UNC-Chapel Hill, USA
Postdoctoral Researcher
Chapel Hill, North Carolina, USA
2024.04-2024.11
Peking University, China
Research Scholar
Beijing, China
2021.07-2024.03
Peking University, China
Visiting Student
Beijing, China
2018.07-2021.07
AICFVE Research
Intern
Beijing, China
Awards.
World’s FIRST 10K Best Paper Award
IEEE International Conference on Multimedia and Expo, ICME 2017
National Scholarship
Ministry of Education of China
2017