World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
42
Citations
10540
World Ranking
548
National Ranking
190

Computer Science

D-Index
43
Citations
11969
World Ranking
7802
National Ranking
1025

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Ying Tai is affiliated with Nanjing University in China and works primarily in the field of Computer Science, focusing on specialized areas including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Computational Mechanics.

The scientist's research also spans several core topics such as Face recognition and analysis, Video Surveillance and Tracking Methods, Advanced Image Processing Techniques, Generative Adversarial Networks and Image Synthesis, Advanced Vision and Imaging, Image Enhancement Techniques, and Anomaly Detection Techniques and Applications.

Ying Tai's recent published works include:

  • Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • TEINet: Towards an Efficient Architecture for Video Recognition (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • Fast Learning of Temporal Action Proposal via Dense Boundary Generator (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • To Choose or to Fuse? Scale Selection for Crowd Counting (2021), featured in the Proceedings of the AAAI Conference on Artificial Intelligence
  • IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist has collaborated frequently with several peers, including Chengjie Wang, Jilin Li, Feiyue Huang, Yabiao Wang, and Donghao Luo, contributing to numerous coauthored publications.

Ying Tai has contributed extensively to reputable publication venues, with a high volume of work appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Image Processing

The concentration of Ying Tai's work lies notably in advancing techniques and methodologies within computer vision, artificial intelligence, and image processing domains. The research outputs reveal a consistent focus on addressing complex problems related to image analysis, video recognition, and crowd counting through different algorithmic approaches and network architectures.

Best Publications

  • Image Super-Resolution via Deep Recursive Residual Network

    Ying Tai;Jian Yang;Xiaoming Liu

  • MemNet: A Persistent Memory Network for Image Restoration

    Ying Tai;Jian Yang;Xiaoming Liu;Chunyan Xu

  • FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors

    Yu Chen;Ying Tai;Xiaoming Liu;Chunhua Shen

  • CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

    Yuge Huang;Yuhan Wang;Ying Tai;Xiaoming Liu

  • DSFD: Dual Shot Face Detector

    Jian Li;Yabiao Wang;Changan Wang;Ying Tai

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

    Jian Yang;Lei Luo;Jianjun Qian;Ying Tai

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

    Jinlong Peng;Changan Wang;Fangbin Wan;Yang Wu

  • Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

    Qingyu Song;Changan Wang;Zhengkai Jiang;Yabiao Wang

  • Real-World Super-Resolution via Kernel Estimation and Noise Injection

    Xiaozhong Ji;Yun Cao;Ying Tai;Chengjie Wang

  • Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

    Chuming Lin;Chengming Xu;Donghao Luo;Yabiao Wang

  • TEINet: Towards an Efficient Architecture for Video Recognition

    Zhaoyang Liu;Donghao Luo;Yabiao Wang;Limin Wang

  • IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation

    Unknown

  • Person Search via a Mask-Guided Two-Stream CNN Model

    Di Chen;Shanshan Zhang;Wanli Ouyang;Jian Yang

  • Fast Learning of Temporal Action Proposal via Dense Boundary Generator

    Chuming Lin;Jian Li;Yabiao Wang;Ying Tai

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

    Liang Liu;Jiangning Zhang;Ruifei He;Yong Liu

  • NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results

    Andreas Lugmayr;Martin Danelljan;Radu Timofte;Namhyuk Ahn

  • Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification

    Yichao Yan;Jie Qin;Jiaxin Chen;Li Liu

  • To Choose or to Fuse? Scale Selection for Crowd Counting

    Qingyu Song;Changan Wang;Yabiao Wang;Ying Tai

  • Face Anti-Spoofing via Disentangled Representation Learning

    Ke-Yue Zhang;Taiping Yao;Jian Zhang;Ying Tai

  • HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping.

    Yuhan Wang;Yuhan Wang;Xu Chen;Xu Chen;Junwei Zhu;Wenqing Chu

  • Collaborative Learning for Faster StyleGAN Embedding

    Shanyan Guan;Ying Tai;Bingbing Ni;Feida Zhu

Frequent Co-Authors

Feiyue Huang
Feiyue Huang Tencent (China)
Xiaoming Liu
Xiaoming Liu University of North Carolina at Chapel Hill
Rongrong Ji
Rongrong Ji Xiamen University
Tong Lu
Tong Lu Nanjing University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Yanwei Fu
Yanwei Fu Fudan University
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Jiayi Ma
Jiayi Ma Wuhan University

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