Luke
My cute dog: Luke!

Ying Tai (邰颖)


Senior Researcher
Youtu Lab, Tencent (Shanghai)

Email: yingtai@tencent.com, tyshiwo@gmail.com
[Google Scholar] [Github] [LinkedIn]


I got my Ph.D. degree from the Department of Computer Science and Engineering, Nanjing University of Science and Technology (NUST) in 2017, and my advisor is Prof. Jian Yang. In 2016, I spent 6 wonderful months as a visiting student at Prof. Xiaoming Liu's lab in Michigan State University. From Sep. 2017 to Sep. 2018, I was a Researcher at Tencent Youtu Lab. Currently, I am a Senior Researcher at Tencent Youtu Lab.

We recently released codes on detection, alignment and attribute classification in Youtu Lab's official github account [TencentYoutuResearch], which currently has over 3.0K stars and 750 forks.

We are hiring self-motivated interns/full-time researchers on computer vision, especially face analysis (e.g., face recognition/alignment/detection/reconstruction/facial attribute translation, etc). Please send me your CV if you are interested.



Recent news

  • 07/2020 – 6 papers accepted by ECCV'20, with the acceptance rate to be 27%

  • 05/2020 – Our RealSR model (Team name: Impressionism) won both tracks of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution

  • 02/2020 – 3 papers accepted by CVPR'20, with the acceptance rate to be 22.1%

  • 11/2019 – 2 papers (Action Proposal & Action Recognition) accepted by AAAI'20, with the acceptance rate to be 20.6%. The code of our DBG is released at [ActionDetection-DBG], which achieves Top 1 performance on ActivityNet Challenge 2019 on Temporal Action Proposals

  • 03/2019 – The evaluation code of our DSFD is released at [FaceDetection-DSFD]

  • 02/2019 – Our DSFD on face detection is accepted by CVPR'19, with the acceptance rate to be 25.2%

  • 11/2018 – 2 papers (face alignement & adaptive metric learning) accepted by AAAI'19, with the acceptance rate to be ONLY 16.2%

  • 10/2018 – We released a novel Dual Shot Face Detector (DSFD) framework that achieves Top 1 performance on all FIVE settings of WIDER FACE (Easy/Medium/Hard) and FDDB (Discrete/Continuous) datasets

  • 09/2018 – Be a Senior Researcher at Tecent Youtu Lab

  • 09/2018 – Reviewer of CVPR'19

  • 07/2018 – Program committee of AAAI'19

  • 07/2018 – 1 paper accepted by ECCV'18

  • 02/2018 – 1 paper accepted by CVPR'18 (SPOTLIGHT Presentation)

  • 09/2017 – Be a Researcher at Tecent Youtu Lab

  • 08/2017 – Received ICCV'17 Student Volunteer Travel Award

  • 07/2017 – 1 paper accepted by ICCV'17 (SPOTLIGHT Presentation)

  • 03/2017 – 1 paper accepted by CVPR'17



Preprints (* equal contribution, # corresponding author)

ASFD: Automatic and Scalable Face Detector
B. Zhang*, Jian Li*, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, Y. Xia, W. Pei and R. Ji.
arXiv:2003.11228
Improved version of our CVPR'19 work DSFD
Ranked No. 1 again on WIDER FACE
[Paper (arXiv)]

FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
X. Yin, Y. Tai, Y. Huang and X. Liu.
arXiv:1911.11680v1
Novel framework to improve surveillance face recognition & normalization from unpaired data
[Paper (arXiv)]

Aurora Guard: Real-Time Face Anti-Spoofing via Light Reflection
Y. Liu, Y. Tai, J. Li, S. Ding, C. Wang, F. Huang, D. Li, W. Qi and R. Ji.
arXiv:1902.10311v1, 2019
[Paper (arXiv)] [Demo]



Publications (* equal contribution, # corresponding author)

Improving Face Recognition from Hard Samples via Distribution Distillation Loss
Y. Huang*, P. Shen*, Y. Tai#, S. Li#, X. Liu, J. Li, F. Huang, and R. Ji.
European Conference on Computer Vision (ECCV), 2020
Novel *practical* framework to improve hard examples for face recognition
[Paper (arXiv)]
Star Fork

SSCGAN: Facial Attribute Editing via Style Skip Connections
W. Chu, Y. Tai#, C. Wang, J. Li, F. Huang, and R. Ji.
European Conference on Computer Vision (ECCV), 2020
[Paper (Coming soon)]

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 (Coming soon)]

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End
Joint Multiple-Object Detection and Tracking

J. Peng, C. Wang, F. Wan, Y. Wu, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang and Y. Fu.
European Conference on Computer Vision (ECCV), 2020 [SPOTLIGHT]
[Paper (Coming soon)]

Temporal Distinct Representation Learning for 2D-CNN-based Action Recognition
J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Jiang and J. Yuan.
European Conference on Computer Vision (ECCV), 2020
[Paper (Coming soon)]

Adversarial Semantic Data Augmentation for Human Pose Estimation
Y. Bin, X. Cao, X. Chen, Y. Ge, Y. Tai, C. Wang, J. Li, F. Huang, C. Gao and N. Sang.
European Conference on Computer Vision (ECCV), 2020
State-of-the-art performance on MPII and LSP
[Paper (Coming soon)]

Real-World Super-Resolution via Kernel Estimation and Noise Injection
X. Ji, Y. Cao, Y. Tai#, C. Wang, J. Li, and F. Huang.
Computer Vision and Pattern Recognition Workshop (CVPRW), 2020
Winner of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution (Team name: Impressionism)
Provide a practical and general solution for real image SR with NO need of paired data
[Paper] [Code (Official)] [Code (NCNN-vulkan)] [Official Challenge Report]
Star Fork

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
Y. Huang, Y. Wang, Y. Tai#, X. Liu, P. Shen, S. Li#, J. Li, and F. Huang.
Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (Official)] [Code]
Star Fork

Learning by Analogy: Reliable Supervision from Transformations for
Unsupervised Optical Flow Estimation

L. Liu, J. Zhang, Y. Liu, Y. Wang, Y. Tai, D. Luo, C. Wang, J. Li, and F. Huang.
Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (Official)] [Code]

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai, and L. Shao.
Computer Vision and Pattern Recognition (CVPR), 2020
[Paper (Official)] [Code]

Fast Learning of Temporal Action Proposal via Dense Boundary Generator
C. Lin*, J. Li*, Y. Wang, Y. Tai, D. Luo, Z. Cui, C. Wang, J. Li, F. Huang and R. Ji.
The AAAI Conference on Artificial Intelligence (AAAI), 2020 (Acceptance Rate: 20.6%)
Ranked No. 1 on ActivityNet Challenge 2019 on Temporal Action Proposals
[Paper (arXiv)] [Code]
Star Fork

TEINet: Towards an Efficient Architecture for Video Recognition
Z. Liu*, D. Luo*, Y. Wang, L. Wang, Y. Tai, C. Wang, J. Li, F. Huang and T. Lu.
The AAAI Conference on Artificial Intelligence (AAAI), 2020 (Acceptance Rate: 20.6%)
[Paper (arXiv)]

DSFD: Dual Shot Face Detector
J. Li, Y. Wang, C. Wang, Y. Tai, J. Qian, J. Yang, C.e Wang, J. Li and F. Huang.
Computer Vision and Pattern Recognition (CVPR), 2019
Ranked No. 1 on WIDER FACE and FDDB (Until 2019.01)
[Paper (Official)] [Paper (arXiv)] [Code]
Star Fork

Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos
Y. Tai*, Y. Liang*, X. Liu, L. Duan, J. Li, C. Wang, F. Huang and Y. Chen.
The AAAI Conference on Artificial Intelligence (AAAI), 2019 (Acceptance Rate: 16.2%)
[Paper (Official)] [Paper (arXiv)] [Supp] [Code]
Star Fork

Data-Adaptive Metric Learning with Scale Alignment
S. Chen, C. Gong, J. Yang, Y. Tai, L. Hui and J. Li.
The AAAI Conference on Artificial Intelligence (AAAI), 2019 (Acceptance Rate: 16.2%)
[Paper (Official)]

Person Search via A Mask-Guided Two-Stream CNN Model
D. Chen, S. Zhang, W. Ouyang, J. Yang and Y. Tai.
European Conference on Computer Vision (ECCV), 2018
IEEE Trans. on Image Processing, 2020
[Paper] [Poster]

FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
Y. Chen*, Y. Tai*, X. Liu, C. Shen, J. Yang.
Computer Vision and Pattern Recognition (CVPR), 2018 [SPOTLIGHT]
[Paper (Official)] [Paper (arXiv)] [Code] [Demo] [Slides] [Poster]
Star Fork

MemNet: A Persistent Memory Network for Image Restoration
Y. Tai, J. Yang, X. Liu, C. Xu.
International Conference on Computer Vision (ICCV), 2017 [SPOTLIGHT]
[Paper] [Code] [Poster]
Star Fork

Image Super-Resolution via Deep Recursive Residual Network
Y. Tai, J. Yang, X. Liu.
Computer Vision and Pattern Recognition (CVPR), 2017
[Paper] [Code] [Project] [Poster]
Star Fork

Structural Orthogonal Procrustes Regression for Face Recognition
with Pose Variations and Misalignment

Y. Tai, J. Yang, F. Zhang, Y. Zhang, L. Luo, J. Qian.
SIAM Conference on Data Mining (SDM), 2017
[Paper]

Nuclear Norm based Matrix Regression with Applications to Face Recognition
with Occlusion and Illumination Changes

J. Yang, L. Luo, J. Qian, Y. Tai, F. Zhang and Y. Xu.
IEEE Trans. on Pattern Analysis and Machine Intelligence 39(1): 156-171, 2017
[Paper]

Face Recognition with Pose Variations and Misalignment
via Orthogonal Procrustes Regression

Y. Tai, J. Yang, Y. Zhang, L. Luo, J. Qian and Y. Chen
IEEE Trans. on Image Processing 25(6): 2673-2683, 2016
[Paper]

Learning Discriminative Singular Value Decomposition Representation
for Face Recognition

Y. Tai, J. Yang, L. Luo, F. Zhang and J. Qian
Pattern Recognition 50: 1-16, 2016
[Paper]



Awards

  • 2018 Stars of Youtu Lab, Tencent

  • 2018, 2019 Outstanding Staff Award, Tencent

  • 2018 Excellent Doctoral Dissertation of Nanjing University of Science and Technology, China

  • ICCV'17 Student Volunteer Travel Award

  • 2017 Outstanding Graduate

  • 2016 National Graduate Scholarship

  • 2012 Top 10 Graduate Singers, Nanjing University of Science and Technology



Professional activities

  • Reviewer for FG'17, CVPR'(17, 18, 19, 20), ICCV'(17,19), ECCV'(18, 20), AAAI'(19, 20), ICLR'20, NIPS'20

  • Reviewer for Trans. on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Trans. on Image Processing (TIP), Pattern Recognition, Pattern Recognition Letters