About Me

I am currently a joint Ph.D. candidate of Peking University and Peng Cheng Laboratory since 2021, advised by Prof. Ronggang Wang. I received the M.S. degree of Mechanical Engineering from Tongji University in 2019. Prior to that, I graduated from Shanghai University.

My research interest focuses on human-centric 3D vision, including 3D human representation, novel view synthesis, etc.

News

  • Feb, 2024     1 paper is accepted to CVPR!
  • Feb, 2024     1 paper is accepted to TIP!

Selected Projects

PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling

Xiaoyun Zheng, Liwei Liao, Xufeng Li, Jianbo Jiao, Rongjie Wang, Feng Gao, Shiqi Wang, Ronggang Wang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] | [Project Page] | [Code]

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation

Xiaoyun Zheng, Liwei Liao, Jianbo Jiao, Feng Gao, Ronggang Wang

IEEE Transaction on Image Processing (T-IP), 2024

[Paper] | [Project Page]

Publication List

  • Xiaoyun Zheng, Liwei Liao, Xufeng Li, Jianbo Jiao, Rongjie Wang, Feng Gao, Shiqi Wang, Ronggang Wang. “PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling”, in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024).
  • Xiaoyun Zheng, Liwei Liao, Jianbo Jiao, Feng Gao, Ronggang Wang, “Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation”, IEEE Transactions on Image Processing (TIP), 2023.
  • Jianbo Yu, Xiaoyun Zheng, Shijing Wang, “A deep autoencoder feature learning method for process pattern recognition”,Journal of Process Control. 2019, 79: 1–15.
  • Jianbo Yu, Xiaoyun Zheng, Jiatong Liu, “Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map”, Computers in Industry, 2019, 109:121-133.
  • Jianbo Yu, Xiaoyun Zheng, Shijing Wang, “Stacked denoising autoencoder-based feature learning for out-of-control source recognition in multivariate manufacturing process”,Quality and Reliability Engineering International. 2019, 35(1): 204-223.
  • Xiaoyun Zheng, Jianbo Yu, “Multivariate Process Monitoring and Fault Identification Using Convolutional Neural Networks”, Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018.
  • Xiaoyun Zheng, Jianbo Yu, Haiqiang Liu, Hui Cheng, Xiwu Sun, Hao Wu, “Modeling and Analysis of Adaptive Weighted Variance Propagation Network in Hybrid Multistage Machining Processes”, Journal of Mechanical Engineering, 2018, 54(13): 179-191.
  • Jianbo Yu, Xiaoyun Zheng, Chuanfeng Li, Chenyang Dong, “Clinical Pathway Modeling by Petri Net Based on Process Mining”,Journal of Tongji University (Natural Science), 2018, 46(4): 524-534, 549.