Hongrui Cai (蔡泓锐)

I am a Ph.D. candidate in the Graphics&Geometric Computing Laboratory (GCL) at University of Science and Technology of China (USTC), supervised by Prof. Juyong Zhang. Before that, I obtained my B.Sc degree from South China University of Technology (SCUT) in 2019.

Email: hrcai AT mail.ustc.edu.cn

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Research Interests

My research interests include some sub-fields of Computer Vision and Computer Graphics:

  • 3D Reconstruction and Surface Registration

  • Point Cloud Learning

  • Image and Video Generation


News

[2021.05] I will start my Ph.D. journey in September 2021. Bless me!

[2021.04] Give a talk at CVM 2021.

[2021.03] One paper accepted by CVPR 2021.

Publications

    Conference Papers

CVPR2021

Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
project page / paper / zhihu / code

For non-rigid registration, we propose RMA-Net to deform the input surface shape stage by stage. RMA-Net is trained in an unsupervised manner via our proposed multi-view 2D projection loss.

    Journal Papers

GMOD2021

Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
Hongrui Cai, Yudong Guo, Zhuang Peng, Juyong Zhang.
Graphical Models (GMOD), 2021
paper / zhihu / code

To the best of our knowledge, this is the first work for automatic landmark detection and 3D face reconstruction for general caricatures.

CVM2021

Real-Time Face View Correction for Front-Facing Cameras
Yudong Guo, Juyong Zhang, Yihua Chen, Hongrui Cai, Zhangjin Huang, Bailin Deng.
Computational Visual Media (CVM), 2021
paper

We take the video stream from a single RGB camera as input, and generates a video stream that emulates the view from a virtual camera at a designated location.

Technical Projects
project Landmark driven Facial Expression Recognition
Hongrui Cai
2020
code

Design a landmark-driven Facial Expression Recognition (FER) method without employing any pre-trained model from other tasks.

Professional Activities

Journal Reviewers of IEEE Transactions on Multimedia (TMM), Computers & Graphics (C&G).

Academic Talks

[2021.04] Invited talk about Caricature Face at CVM 2021.

Selected Honors

Excellent Undergraduate Student, by SCUT, 2019.

Excellent Undergraduate Thesis Award, by SCUT, 2019.

First-Class Academic Scholarships for Postgraduates, by USTC, 2019 - 2021.


Last update: 2021.11