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Dr. Ying Tai (邰颖)

Associate Professor (PhD Advisor)

Nanjing University (Suzhou Campus)

1520 Taihu Road, Suzhou, P.R. China

Email: yingtai(at)nju.edu.cn; tyshiwo(at)gmail.com

Google Scholar | Github / Github (Group) | Scopus

Public office hour: For undergraduate students in NJU, feel free to drop by my office at Room 522, Nanyong Building (West) every Wednesday from 10am to 11am.

Opening positions (RA招生简介): 招科研助理(RA)岗位1~2名,多模态视觉生成方向,有ACM竞赛获奖经历、或顶会论文一作发表优先,感兴趣的同学欢迎邮件联系我。

关于25年智科院夏令营:鉴于咨询邮件较多,精力实在有限,无法逐个回复。统一回答下:欢迎各位同学参加学院的夏令营,欢迎大家到时直接线下找我聊。

Biography

I am currently an Associate Professor at School of Intelligence Science and Technology, Nanjing University (Suzhou Campus). Previously, I was a Principal Researcher and Team Lead at Tencent Youtu Lab, where I spent more than 6 wonderful years, leading two teams developing novel vision algorithms that are applied in several products, e.g., Virtual Background feature in Tencent Meeting, High-fidelity face generation APIs in Tencent Cloud and Talking Face Generation for digital human product. Also, our team conducted cutting-edge research works that are published in top-tier AI conferences.

I got my Ph.D. degree from the Department of Computer Science and Engineering, Nanjing University of Science & 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.

My research interests include Frontier Generative AI research and applications based on advanced large vision and language models. Specifically, I work on

Past Projects on Generative AI

News

  • 04/2024 – Being included in Research.com 2023 Ranking of Best Scientists in Computer Science (#9590 in the world, #1022 in China and #12 in NJU)

  • 04/2024 – We released the codes and pretrained models of AddSR (accelerating inference speed of diffusion-based model for super-resolution).

  • 03/2024 – Two papers ( PortraitBooth (text to portrait generation) and FaceChain-ImagineID (audio to talking face generation)) accepted by CVPR'24 (8 consecutive years since 2017 :))

  • 12/2023 – Two recent papers are released: PortraitBooth (CVPR'24) and FaceX (arXiv'24) (general model for popular facial editing tasks)

  • 12/2023 – 1 paper accepted by ICASSP'24

  • 10/2023 – 2022 World's Top 2% Scientists by Stanford University ( Ranked 5th in Tencent)

  • 09/2023 – 1 paper ( WaveletVFI) accepted by IEEE Transactions on Image Processing 2023

  • 08/2023 – I joined Nanjing University (Suzhou Campus)

  • 07/2023 – I will be an Associate Editor for Image and Vision Computing

  • 07/2023 – 1 paper accepted by ICCV'23

  • 05/2023 – I will be an Area Chair for WACV 2024

  • 03/2023 – 3 papers accepted by CVPR'23

  • 11/2022 – 2 papers accepted by AAAI'23 (1 Oral and 1 Poster)

  • 09/2022 – 1 paper accepted by ACM Transactions on Graphics 2022

  • 07/2022 – 5 papers accepted by ECCV'22

  • 06/2022 – Our CDSR on blind super resolution is accepted by ACM MM'22, with the acceptance rate to be 27.9%

  • 06/2022 – Our AutoGAN-Synthesizer on MRI reconstruction is accepted by MICCAI'22

  • 05/2022 – I will be Area Chairs for WACV 2023 and FG 2023

  • 04/2022 – Our HifiHead on high-fidelity Neural Head Synthesis is accepted by IJCAI'22, with the acceptance rate to be 15%

  • 03/2022 – Our face recognition work CurricularFace (CVPR'20) is inlcuded in 2022 AI index report from Stanford University

  • 03/2022 – 5 papers accepted by CVPR'22, with the acceptance rate to be 25.3%

  • 03/2022 – First Prize of Progress in Science and Technology of Jiangsu Province (4/11), “Image restoration and robust recognition: theory and algorithms”

  • 02/2022 – I will be an Area Chair for ECCV 2022

  • 12/2021 – 3 papers accepted by AAAI'22 (1 Oral and 2 Posters), with the acceptance rate to be 15%

  • 09/2021 – 2 papers on blind SR and ViT accepted by NeurIPS'21, with the acceptance rate to be 26%

  • 07/2021 – 2 papers on crowd counting accepted by ICCV'21 (1 Oral and 1 Poster), with the acceptance rate to be 25.9%

  • 07/2021 – Our ASFD on face detection is accepted by ACM MM'21

  • 04/2021 – 4 papers accepted by IJCAI'21, with the acceptance rate to be 13.9%

  • 04/2021 – Our Team Imagination is the winner of CVPR NTIRE 2021 Challenge on Video Spatial-Temporal Super-Resolution

  • 03/2021 – 3 papers accepted by CVPR'21 (1 Oral and 2 Posters), with the acceptance rate to be 23.7%

  • 12/2020 – 4 papers accepted by AAAI'21, with the acceptance rate to be 21%

  • 09/2020 – Training codes of RealSR are available in Tencent official github account [Tencent-RealSR].

  • 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

  • 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

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

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

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

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