Taiping Yao(姚太平)

I am a Researcher at Tencent Youtu Lab, where I work on computer vision and machine learning. And my research interests are face anti-spoofing, deepfake detection and adversial attack.

I got my bachelor's degree in Nanjing University (2012~2016) and master degree in Shanghai Jiaotong University (2016~2019).

We are hiring self-motivated interns on computer vision, especially trustworthy biometrics (e.g., face anti-spoofing detection, deepfake detection, adversial attack, etc). Please send me your CV if you are interested.

Email  /  Google Scholar  /  Github  / 

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Recent news

  • 09/2022 – 1 papers accepted by NIPS'22, with the acceptance rate to be 25%

  • 09/2022 – Our Team won the first place in ASIC: artificial intelligence security competition

  • 07/2021 – 4 papers accepted by ECCV'22, with the acceptance rate to be 26%

  • 07/2021 – 1 papers accepted by ACM MM'22, with the acceptance rate to be 27.9%

  • 07/2021 – 1 papers accepted by IJCAI'22, with the acceptance rate to be 15%

  • 07/2021 – 2 papers accepted by CVPR'22, with the acceptance rate to be 25.33%

  • 07/2021 – 3 papers accepted by AAAI'22, with the acceptance rate to be 15%

  • 07/2021 – 2 papers accepted by ICCV Workshop'21

  • 07/2021 – Our Team won the third place in Remote Physiological Signal Sensing (RePSS) Challenge(ICCV2021)

  • 07/2021 – Our Team won the second place in 3D High-Fidelity Mask Attack Detection Challenge(ICCV2021)

  • 07/2021 – 2 papers accepted by ACM MM'21, with the acceptance rate to be 27.9%

  • 07/2021 – 1 papers accepted by IJCB'21, with the acceptance rate to be 39.2%

  • 04/2021 – 2 papers accepted by IJCAI'21, with the acceptance rate to be 13.9%

  • 03/2021 – 1 papers accepted by CVPR'21, with the acceptance rate to be 23.7%

  • 12/2020 – 2 papers accepted by AAAI'21, with the acceptance rate to be 21%

  • 11/2020 – Our Team won the fourth place in CelebA-Spoof: Face Anti-Spoofing Challenge (ECCV20)

  • 11/2020 – Our Team won the second place in DeeperForensics Challenge(ECCV20)

  • 06/2020 – Our Team won the gold medal in Deepfake Detection Challenge

  • 06/2020 – 1 papers accepted by ICONIP'20, with the acceptance rate to be 29%

  • 07/2020 – 1 papers accepted by ECCV'20, with the acceptance rate to be 27%

  • 12/2018 – 1 papers accepted by PCM'18

  • 02/2018 – 1 papers accepted by CVPR'18


Preprints (* equal contribution, # corresponding author)

Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System
J. Zhang, Y. Tai, T. Yao, J. Meng, S. Ding, C. Wang, J. Li, F. Huang and R. Ji.
arXiv, 2021
arXiv
DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results
S. Chen, T. Yao, S. Ding, J. Li, F. Huang and R. Ji.
arXiv, 2021
arXiv

Publications (* equal contribution, # corresponding author)

Spatiotemporal Inconsistency Learning for DeepFake Video Detection
H. Gu*, C. Yang*, T. Yao*#, S. Ding, J. Li, Y.Huang and Z. Ma.
ACM International Conference on Multimedia. (ACM MM), 2021
Paper (Official)

Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
K. Zhang*, T. Yao, J. Zhang, S. Liu, S. Ding, J. Li, Y.Huang.
ACM International Conference on Multimedia. (ACM MM), 2021
Paper (Official)

Structure Destruction and Content Combination for Face Anti-Spoofing
S. Liu*, K. Zhang*, T. Yao*#, S. Ding, J. Li, Y.Huang, Y.xie and Z. Ma.
International Joint Conference on Biometrics. (IJCB), 2021
Paper (Official)

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
Y. Bang*, X. Wang*, T. Yao*#, J.Guo, Z. Kun, S. Ding, J. Li, and C. Liu.
International Joint Conferences on Artificial Intelligence (IJCAI), 2021
Paper (Official)

Dual Reweighting Domain Generalization for Face Presentation Attack Detection
S. Liu*, Y. Zhang*, T. Yao*#, K. Sheng, S. Ding, Y. Tai, Y. Xie , and Z. Ma.
International Joint Conferences on Artificial Intelligence (IJCAI), 2021
Paper

Delving into Data: Effectively Substitute Training for Black-box Attack
W. Wang*, B. Yin*, T. Yao*#, L. Zhang, Y. Fu, S. Ding, J. Li, X. Xue and F. Huang.
Computer Vision and Pattern Recognition (CVPR), 2021
Paper

Local Relation Learning for Face Forgery Detection
S. Chen*, T. Yao*, Y. Chen, S. Ding, J. Li, and R. ji.
AAAI Conference on Artificial Intelligence (AAAI), 2021
Paper

Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
Z. Chen*, T. Yao*, K. Sheng, S. Ding, Y. Tai, J. Li, F. Huang, and X. Jin.
AAAI Conference on Artificial Intelligence (AAAI), 2021
Paper

Face Manipulation Detection via Auxiliary Supervision
X. Wang, T. Yao, S. Ding, and L. Ma.
International Conference on Neural Information Processing (ICONIP), 2020
Paper

Face Anti-Spoofing via Disentangled Representation Learning
K. Zhang*, T. Yao*, J. Zhang, Y. Tai, S. Ding, J. Li, F. Huang, H. Song and L. Ma.
European Conference on Computer Vision (ECCV), 2020
Paper (Official)

Multi-person Group Interactive Video Generation
Z. Wang, T. Yao*, H. Wei, S. Guan and B. Ni.
Pacific-Rim Conference on Multimedia(PCM), 2018
Paper (Official)

Multiple granularity group interaction prediction
T. Yao*, M. Wang, B. Ni, H. Wei, and X. Yang.
Computer Vision and Pattern Recognition (CVPR), 2018
Paper (Official)

Awards

  • Second Place of ECCV 2020 Challenge on DeeperForensics Challenge (Team name: RealFAce)

  • Fourth Place of ECCV 2020 Challenge on CelebA-Spoof Face Anti-Spoofing Challenge

  • Gold Medal of Kaggle Challenge on Deepfake Detection Challenge

  • 2019, 2020, 2022 Outstanding Staff Award, Tencent


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