Zhong Li(李众)
Short Bio
I'm currently a senior staff research scientist at Innopeak Technology focusing on next-generation mobile AR/VR R&D. My research interests are in the Vision and Graphics related fields. More specifically, 2D/3D human body/face modeling and understanding, novel view synthesis, image-based rendering, and relighting. Before that, I obtained my Ph.D. degree in Computer Science from the University of Delaware, Newark, DE, USA. I worked on 3D non-rigid dynamic human shape reconstruction and completion, Dynamic mesh sequences compression, and human semantic segmentation.
Education
Ph.D. Computer Science, University of Delaware, July 2015 - Feb 2019.
M.S. Computer Science, University of Missouri. Jan 2013 - July 2015.
NEWS
We are consistently seeking highly motivated Ph.D. interns on various AR/VR topics including but not limit to 2D/3D human body/face modeling and understanding, novel view synthesis, image-based rendering, and relighting. Drop me an email if interested.
Selected Publications
Full-Vome 3D Fluid Flow Reconstruction with Light Field PIV
Yuqi Ding, Zhong Li, Zhang Chen, Yu Ji, Jingyi Yu, Jinwei Ye
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2023.
NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields.
Liangchen Song, Anpei Chen, Zhong Li, Zhang Chen, Lele Chen, Junsong Yuan, Yi Xu, and Andreas Geiger.
IEEE Conference on Virtual Reality and 3D User Interface(IEEE VR),2023
Special Issue on IEEE Transactions on Visualization & Computer Graphics (TVCG) , 2023.
[Paper(PDF)] [Project Page]
NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field
Zhong Li, Liangchen Song, Celong Liu, Junsong Yuan and Yi Xu
Eurographics Symposium on Rendering (EGSR), 2022.
[Paper(PDF)] [Project Page][Video]
Real-Time Lighting Estimation for Augmented Reality via Differentiable Screen-Space Rendering
Liu, Celong, Lingyu Wang, Zhong Li, Shuxue Quan, and Yi Xu.
IEEE Transactions on Visualization & Computer Graphics (TVCG) , 2022.
[Paper(PDF)]
Robustfusion: Robust volumetric performance reconstruction under human-object interactions from monocular rgbd stream
Su, Zhuo and Xu, Lan and Zhong, Dawei and Li, Zhong and Deng, Fan and Quan, Shuxue and Fang, Lu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2022.
[Paper(PDF)]
Learning Kinematic Formulas from Multiple View Videos
Liangchen Song, Sheng Liu, Celong Liu, Zhong Li, Yuqi Ding, Yi Xu, and Junsong Yuan,
ACM International Conf. on Multimedia (ACM MM), 2021
[Paper(PDF)]
Talking-head Generation with Rhythmic Head Motion
Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, and Chenliang Xu
European Conference on Computer Vision (ECCV), 2020
Structure from Motion on XSlit Cameras
Wei Yang, Yingliang Zhang, Jinwei Ye, Yu Ji, Zhong Li, Mingyuan Zhou, and Jingyi Yu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2019.
3D Human Avatar Digitization from a Single Image
Zhong Li , Lele Chen, Celong Liu, , Yu Gao, Yuanzhou Ha , Chenliang Xu , Shuxue Quan, Yi Xu
Computer & Graphics (C & G), 2021.
ACM SIGGRAPH VRCAI (VRCAI), 2019.(Best paper award) .
[Paper(PDF)][Journal Extension]
4D Human Body Correspondences from Panoramic Depth Maps
Zhong Li, Minye Wu, Wangyiteng Zhou and Jingyi Yu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2018
Robust 3D Human Motion Reconstruction Via Dynamic Template Construction
Zhong Li, Yu Ji, Wei Yang, Jinwei Ye and Jingyi Yu.
International Conference on 3D Vision (3DV), 2017. (Spotlight Oral Presentation)
Yingliang Zhang, Zhong Li, Wei Yang, Peihong Yu, Haiting Lin, Jingyi Yu
IEEE International Conference on Computational Photography (ICCP), 2017. (Oral Presentation)
Professional Activity
Conference reviewer: CVPR 2021/2022/2023. ICCV 2021. ECCV 2022. AAAI 2020/2021, IJCAI 2023, ISMAR2022, IEEE VR 2023
Journal reviewer: Computer & Graphics, Machine Vision & Applications, The Visual Computer Journal(TVCJ), IEEE Access
US PATENT
Zhong Li, and Jason Chieh-sheng Yang. "Dynamic local temporal-consistent textured mesh compression." U.S. Patent Application No. 15/898,127.
Teaching
CISC 106: GEN COMPUTER SCIEN FOR ENGNR (Graduate TA 15 fall)
CISC 220: DATA STRUCTURE(Graduate TA 16 spring)