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”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024, 22530-22540.
  • Xiaoyun Zheng, Liwei Liao, Jianbo Jiao, Feng Gao, Ronggang Wang*, “Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation”, in IEEE Transactions on Image Processing, 2024, 33: 2018-2031.
  • 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.