World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
24342
World Ranking
1410
National Ranking
731

Research.com Recognitions

  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to automatic facial expression analysis and human activity understanding
  • 2018 - IEEE Fellow For contributions to automatic facial expression analysis and human activity understanding

Overview

Yingli Tian is affiliated with the City University of New York in the United States and has a significant body of work in the fields of Computer Science and Engineering. Their research primarily spans areas such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, as well as Aerospace Engineering.

The scientist's work covers a variety of topics, including:

  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications
  • 3D Shape Modeling and Analysis
  • Video Surveillance and Tracking Methods
  • Radiomics and Machine Learning in Medical Imaging
  • 3D Surveying and Cultural Heritage

Among recent papers associated with Yingli Tian are these selected publications:

  • "Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Monocular human pose estimation: A survey of deep learning-based methods" (2020), published in Computer Vision and Image Understanding
  • "Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects" (2021), published in Information Fusion
  • "LGAN: Lung segmentation in CT scans using generative adversarial network" (2020), published in Computerized Medical Imaging and Graphics
  • "Deep Learning-Based Action Detection in Untrimmed Videos: A Survey" (2022), published in IEEE Transactions on Pattern Analysis and Machine Intelligence

Yingli Tian frequently publishes in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Computer Vision and Image Understanding
  • Computerized Medical Imaging and Graphics

The scientist collaborates regularly with several coauthors including Longlong Jing, Oğuz Akın, Elahe Vahdani, and Jingya Liu.

Yingli Tian has received recognition in the form of fellowships, including being named IEEE Fellow in 2018 and Fellow of the International Association for Pattern Recognition (IAPR) in 2020, both citing contributions to automatic facial expression analysis and human activity understanding.

Best Publications

  • Comprehensive database for facial expression analysis

    T. Kanade;J.F. Cohn;Yingli Tian

  • Recognizing action units for facial expression analysis

    Y.-I. Tian;T. Kanade;J.F. Cohn

  • Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

    Longlong Jing;Yingli Tian

  • Recognizing actions using depth motion maps-based histograms of oriented gradients

    Xiaodong Yang;Chenyang Zhang;YingLi Tian

  • EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor

    Xiaodong Yang;Ying Li Tian

  • Text String Detection From Natural Scenes by Structure-Based Partition and Grouping

    Chucai Yi;YingLi Tian

  • Appearance models for occlusion handling

    Andrew W. Senior;Arun Hampapur;Ying-li Tian;Lisa M. Brown

  • Super Normal Vector for Activity Recognition Using Depth Sequences

    Xiaodong Yang;YingLi Tian

  • Monocular human pose estimation: A survey of deep learning-based methods

    Yucheng Chen;Yingli Tian;Mingyi He

  • Effective 3D action recognition using EigenJoints

    Xiaodong Yang;YingLi Tian

  • Robust and efficient foreground analysis for real-time video surveillance

    Ying-Li Tian;M. Lu;A. Hampapur

  • Enabling video privacy through computer vision

    A. Senior;S. Pankanti;A. Hampapur;L. Brown

  • Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity

    Ying-li Tian;T. Kanade;J.F. Cohn

  • Evaluation of Face Resolution for Expression Analysis

    Ying-li Tian

  • Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos

    YingLi Tian;R. S. Feris;Haowei Liu;A. Hampapur

  • Facial Expression Recognition

    Yingli Tian;Takeo Kanade;Jeffrey F. Cohn

  • Dual-state parametric eye tracking

    Ying-li Tian;T. Kanade;J.F. Cohn

  • Pyramid of Spatial Relatons for Scene-Level Land Use Classification

    Shizhi Chen;YingLi Tian

  • System and method for automatically detecting neutral expressionless faces in digital images

    Ying-Li Tian;Rudolf M. Bolle

  • Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects

    Shuihua Wang;M. Emre Celebi;Yu-Dong Zhang;Xiang Yu

  • Smart surveillance: applications, technologies and implications

    A. Hampapur;L. Brown;J. Connell;S. Pankanti

Frequent Co-Authors

Arun Hampapur
Arun Hampapur Bloom Value
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)
Andrew W. Senior
Andrew W. Senior Google (United States)
Lisa M. Brown
Lisa M. Brown Albert Einstein College of Medicine
Rogerio Feris
Rogerio Feris IBM (United States)
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Jonathan H. Connell
Jonathan H. Connell IBM (United States)
Jizhong Xiao
Jizhong Xiao City University of New York
Takeo Kanade
Takeo Kanade Carnegie Mellon University
Liangliang Cao
Liangliang Cao Google (United States)

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