Xiaozheng Zheng

Orcid: 0000-0001-5758-2089

According to our database1, Xiaozheng Zheng authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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1
2
3
4
5
6
3
2
2
3
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
SMR: Spatial-Guided Model-Based Regression for 3D Hand Pose and Mesh Reconstruction.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling.
CoRR, 2024

HeadGAP: Few-shot 3D Head Avatar via Generalizable Gaussian Priors.
CoRR, 2024

OHTA: One-shot Hand Avatar via Data-driven Implicit Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
See You Soon: Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image.
CoRR, 2023

Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning.
CoRR, 2023

HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
SAR: Spatial-Aware Regression for 3D Hand Pose and Mesh Reconstruction from a Monocular RGB Image.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021

Joint-Aware Regression: Rethinking Regression-Based Method for 3D Hand Pose Estimation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021


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