Ying Tai's Homepage

Dr. Ying Tai Associate Professor Nanjing University (Suzhou Campus) 1520 Taihu Road, Suzhou, P.R. China Email: yingtai(at)nju.edu.cn; tyshiwo(at)gmail.com Google Scholar | Github | Scopus

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

• Human-centric text-to-image editing and generation

• Multi-modal understanding (vision and language) & generation: ImAM (ICCV'23) EmotionalTalkingFace (CVPR'23)

• High-fidelity image/video restoration: CRI (AAAI'23); Colorformer (ECCV'22); IFRNet (CVPR'22); S2K (NeurIPS'22); VideoDehaze (CVPR'21); FCA (AAAI'21); MemNet (ICCV'17); DRRN (CVPR'17)

• Virtual digital human (2D and 3D): NPF (CVPR'23); SGPN (CVPR'22); Uniface (ECCV'22); Styleface (ECCV'22); HifiHead (IJCAI'22); HifiFace (IJCAI'21)

• Image/video perception and understanding: HitNet (AAAI'23); ProCA (ECCV'22); LCTR (AAAI'22); Curricularface (CVPR'20); ChainedTracker (ECCV'20); DSFD (CVPR'19)

Past Projects on Generative AI

• High fidelity face generation: Video face fusion (腾讯云-视频人脸融合)

• Virtual digital human: AI digital human (腾讯云智能-数智人)

• Potrait segmentation: Virtual background in Tencent Meeting (腾讯会议-虚拟背景)

News

• 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