Hongwen Zhang
Postdoctoral Researcher
Tsinghua University
GitHub / Google Scholar

About Me

I started as a PostDoc Researcher at Tsinghua University, advised by Prof. Yebin Liu. Before that, I completed my Ph.D. at the Institute of Automation, Chinese Academy of Sciences under the supervision of Prof. Zhenan Sun. During the fourth year of my Ph.D. studies, I have also spent time at the University of Sydney as a visiting student, advised by Prof. Wanli Ouyang.

My research interests focus on human-centric computer vision, including human pose estimation, motion capture, reconstruction, and behavior understanding.

Preprint(s)

DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Rendering
Ruizhi Shao, Hongwen Zhang, He Zhang, Yanpei Cao, Tao Yu, Yebin Liu
arXiv:2106.03798, 2021
project page / pdf / code (coming soon) / bibtex
@article{dbfield2021,
  title={DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Rendering},
  author={Shao, Ruizhi and Zhang, Hongwen and Zhang, He and Cao, Yanpei and Yu, Tao and Liu, Yebin},
  journal={arXiv preprint arXiv:2106.03798},
  year={2021}
}
    

Selected Publications [Full List]

PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Hongwen Zhang*, Yating Tian*, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun
IEEE International Conference on Computer Vision (ICCV), 2021 ☆ Oral Paper
* Equal contribution
project page / pdf / code / video / bibtex
@inproceedings{pymaf2021,
  title={PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop},
  author={Zhang, Hongwen and Tian, Yating and Zhou, Xinchi and Ouyang, Wanli and Liu, Yebin and Wang, Limin and Sun, Zhenan},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  year={2021}
}
    
Learning 3D Human Shape and Pose from Dense Body Parts
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
project page / pdf / code / bibtex
@article{zhang2020learning,
  title={Learning 3D Human Shape and Pose from Dense Body Parts},
  author={Zhang, Hongwen and Cao, Jie and Lu, Guo and Ouyang, Wanli and Sun, Zhenan},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2020},
  publisher={IEEE}
}
    
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 ☆ Oral Paper
pdf / presentation / code / bibtex
@inproceedings{liu2020disentangling,
  title={Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition},
  author={Liu, Ziyu and Zhang, Hongwen and Chen, Zhenghao and Wang, Zhiyong and Ouyang, Wanli},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2020},
}
    
DaNet: Decompose-and-aggregate Network for 3D Human Shape and Pose Estimation
Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun
ACM International Conference on Multimedia (MM), 2019
project page / pdf / code / bibtex
@inproceedings{zhang2019danet,
  title={DaNet: Decompose-and-aggregate Network for 3D Human Shape and Pose Estimation},
  author={Zhang, Hongwen and Cao, Jie and Lu, Guo and Ouyang, Wanli and Sun, Zhenan},
  booktitle={Proceedings of the 27th ACM International Conference on Multimedia},
  pages={935--944},
  year={2019},
  organization={ACM}
}
    

forked from rbg