Rui Shao (邵睿)  

Research Fellow, MMLab@NTU



School of Computer Science and Engineering,

Nanyang Technological University

Email: rui.shao[AT]ntu.edu.sg; rshaojimmy[AT]gmail.com

[Google Scholar] [GitHub] [LinkedIn] [CV] [中文简历]


News

About Me

I am currently a postdoc at Nanyang Technological University, Singapore, working with Prof. Ziwei Liu and Prof. Chen Change Loy.

I received my PhD degree from Department of Computer Science, Hong Kong Baptist University in 2021, supervised by Prof. Pong C. Yuen, and my bachelor degree from School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC) in 2015. I also spent a memorable high-school time in Shenzhen Foreign Languages School. I visited the Johns Hopkins University for 6 months in 2020.

I am interested in Robustness (e.g., Face Anti-spoofing, Adversarial Attacks/Defense, DeepFake Detection) and Generalization (e.g., Domain Adaptation/Generalization, Meta Learning, and Federated Learning) of Computer Vision and Machine Learning.


Biography

  • 2021-Now, Research Fellow, MMLab@NTU, Singapore
  • 2021.7- 2021.11, Researcher, SenseTime, Shenzhen, China, participating project of MMhuman3D codebase.
  • 2017-2021, Ph.D., Department of Computer Science, Hong Kong Baptist University, Hong Kong, China
  • 2020.2-2020.7, Visiting scholar at Johns Hopkins University, working with Prof. Vishal M Patel, Baltimore, U.S.
  • 2011-2015, B.S., School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Submitted Papers

    Detecting and Grounding Multi-Modal Media Manipulation

    Rui Shao, Tianxing Wu, Ziwei Liu


    DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection

    Rui Shao, Tianxing Wu, Ziwei Liu


    Publications

    Detecting and Recovering Sequential DeepFake Manipulation

    Rui Shao, Tianxing Wu, Ziwei Liu

    European Conference on Computer Vision (ECCV), 2022.

    [arXiv] [Code] [Project Page] [Poster] [Press1] [Press2] [Press3] [Press4]

    Open-set Adversarial Defense with Clean-Adversarial Mutual Learning

    Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

    International Journal of Computer Vision (IJCV), 2022

    [arXiv] [PDF] [Code]

    Federated Generalized Face Presentation Attack Detection

    Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

    [arXiv] [PDF] [Code]

    Federated Test-Time Adaptive Face Presentation Attack Detection with Dual-Phase Privacy Preservation

    Rui Shao, Bochao Zhang, Pong C. Yuen, Vishal M. Patel

    IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021

    [arXiv] [PDF]

    Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification

    Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen,

    Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021

    [PDF]

    Open-set Adversarial Defense

    Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel

    European Conference on Computer Vision (ECCV), 2020

    [arXiv] [PDF] [Code]

    Regularized Fine-grained Meta Face Anti-spoofing

    Rui Shao, Xiangyuan Lan, Pong C. Yuen

    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

    [arXiv] [PDF] [Poster] [Code]

    Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

    Rui Shao, Xiangyuan Lan, Jiawei Li, Pong C. Yuen

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

    [PDF] [Poster] [Code] [Model]

    Joint Discriminative Learning of Deep Dynamic Textures for 3D Mask Face Anti-spoofing

    Rui Shao, Xiangyuan Lan, Pong C. Yuen

    IEEE Transactions on Information Forensics and Security (TIFS), 2019

    [PDF] [Code]

    Adversarial Auto-encoder for Unsupervised Deep Domain Adaptation

    Rui Shao, Xiangyuan Lan

    IET Image Processing. (IET-IPR), 2019

    [PDF]

    Feature Constrained by Pixel: Hierarchical Adversarial Deep Domain Adaptation

    Rui Shao, Xiangyuan Lan, Pong C. Yuen

    ACM international conference on Multimedia (ACM MM), 2018

    [PDF] [Poster] [Code]


    Deep Convolutional Dynamic Texture Learning with Adaptive Channel-discriminability for 3D Mask Face Anti-spoofing

    Rui Shao, Xiangyuan Lan, Pong C. Yuen

    International Joint Conference on Biometrics (IJCB), 2017

    [PDF]


    Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System

    Xiangyuan Lan, Mang Ye, Rui Shao, Bineng Zhong, Pong C. Yuen, Huiyu Zhou

    IEEE Transactions on Industrial Electronics (TIE), 2019

    [PDF]

    Awards

  • 2018/19 Computer Science Department RPg Performance Award
  • 2017/18 Computer Science Department RPg Performance Award

  • Services

    Invited Reviewer for:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Forensics and Security, Neural Networks, Pattern Recognition, Journal of Selected Topics in Signal Processing, Journal of Electronic Imaging
  • CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, ACM MM, ICPR, ICB
  • Program Committee Member for: AAAI 2021 2022

  • Collaborators

  • Prof. Vishal M Patel, Johns Hopkins University
  • Dr. Xiangyuan Lan, Peng Cheng Laboratory
  • Dr. Pramuditha Perera, Johns Hopkins University, AWS AI Lab
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