Welcome to
Feida Zhu's homepage

Publications

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HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control

Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang.

Accepted by IJCAI 2022.

PDF
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Blind Face Restoration via Integrating Face Shape and Generative Priors

Feida Zhu, Junwei Zhu, Wenqing Chu, Xinyi Zhang, Xiaozhong Ji, Chengjie Wang, Ying Tai.

Accepted by CVPR 2022.

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Collaborative learning for faster stylegan embedding

Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang.

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PNEN: Pyramid Non-Local Enhanced Networks

Feida Zhu, Chaowei Fang, Kai-Kuang Ma. IEEE Transactions on Image Processing 29 (2020): 8831-8841.

PDF Dataset & Code
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Semi-supervised Eye Makeup Transfer by Swapping Learned Representation

Feida Zhu, Hongji Cao, Zunlei Feng, Yongqiang Zhang, Wenbin Luo, Hucheng Zhou, Mingli Song, and Kai-Kuang Ma. Accepted by 2019 ICCV Workshop

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A benchmark for Edge-Preserving Image Smoothing

Feida Zhu, Zetong Liang, Xixi Jia, Lei Zhang and Yizhou Yu. IEEE Transactions on Image Processing 28, no. 7 (2019): 3556-3570.

PDF Dataset & Code
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Image and Video Stylization Using Fully Convolutional Network

Feida Zhu, and Yizhou Yu. https://arxiv.org/pdf/1811.10872.pdf.

PDF
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Exemplar-Based Image and Video Stylization Using Fully Convolutional Semantic Features

Feida Zhu, Zhicheng Yan, Jiajun Bu, and Yizhou Yu. IEEE Transactions on Image Processing 26, no. 7 (2017): 3542-3555.

PDF Video Demo

Work Experience

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Youtu Lab
Shanghai, China

Senior Researcher
Dec. 2019 - Now

  • Research about face generation techniques.
  • The techniques are applied in several products, such as Portrait2Cartoon, Adult2Child, Face Swap and etc.
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Nanyang Technological University
Singapore

Research Fellow
Feb. 2019 - Dec. 2019

  • Research about blurriness-guided image enhancement, blurriness detection related problems.
  • Responsible for semantic segmentation model in the WASP-NTU co-project to parse the street scenes for auto-driven car.
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Alibaba Group
Hangzhou, China

Intern
Aug. 2018 - Jan.2019

  • Learn agile development, everyday contact, collaboration with business team
    • Train the 170-point model with state-of-the-art facial landmark detection algorithm.
    • Present a novel semi-supervised dual stage model to transfer makeup with both labeled data and unlabeled data.
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The University of Hong Kong, Business School
Hong Kong

Research Assistant
July. 2017 - Aug. 2017

  • Help Prof. Ryan model an engage or dismiss employee problem and solve the constructed ODE to determine when to engage or dismiss employees. We calculate the numerical solution with Matlab ODE module.
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Microsoft Research Asia
Beijing, China

Intern
Jul. 2013 –Sept.2013

  • Participated in a project called de-interlacing videos. The project aims to interpolate the missing pixels according to the existing pixels.
    • We test new ideas in Matlab for fast implementation.
    • The sophisticated solution is re-implemented with C++ in Visual Studio for efficiency and regulation purpose.

About Me

CV_2021Dec

I am currently a senior researcher at Youtu Lab, Tencent. Prior to that,I was a postdoc research fellow at Nanyang Technological University (NTU), Singapore, supervised by Prof. Kai-kuang Ma. I received my PhD in Computer Science at The University of Hong Kong (HKU), supervised by Prof. Yizhou Yu, in 2018, and B.Eng. in Automation at University of Science and Technology of China (USTC) in 2014.

I also went to Zhejiang University two times, studying at Microsoft Visual Perception Laboratory (VIPA) and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies (AZFT), fortunately advised by Prof. Mingli Song and Prof. Zicheng Liao, respectively.

Service:
  • Reviews: TIP, TVCG, Eurographics, ICIP
  • Teaching Assistant: COMP1111 Computer rogramming and applications, COMP1117 Computer programming, COMP8503 Advanced topics in visual analytics
    • 2017 Best Teaching Assistant at Department of Computer Science.
My Skills:
  • Programming Language: Python, Matlab, C++, Linux Shell
  • Research: Machine Learning, Deep Learning, Computer Vision, Data Analysis, Image Processing
  • Tools: Tensorflow, PyTorch, OpenCV, Caffe, MatConvNet
Awards:
  • HKU Postgraduate Scholarship (2014-2018)
  • 中国科学技术大学校优秀毕业生 2014
  • 中国科学技术大学校优秀团干部 2013
  • 计算机与信息科技英才班 (2010-2014)
  • 国家励志奖学金,优秀学生奖学金,英才班奖学金
  • 全国大学生科技创新优秀奖 2014