World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5135
World Ranking
12151
National Ranking
1499

Overview

Wankou Yang is affiliated with Southeast University in China and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition. Their research portfolio includes over 215 publications in computer science and 71 in engineering, reflecting a broad engagement with technical and applied research domains.

Their work spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering, and Biomedical Engineering. These areas provide a foundation for their investigations into complex visual and sensor data interpretation and analysis.

Key topics covered in Wankou Yang's research include:

  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Infrared Target Detection Methodologies

Significant recent papers authored or co-authored by Wankou Yang include:

  • "TokenPose: Learning Keypoint Tokens for Human Pose Estimation," 2021, published at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection," 2023, published in Pattern Recognition
  • "Multiview Learning With Robust Double-Sided Twin SVM," 2021, published in IEEE Transactions on Cybernetics
  • "Correlation-Aware Deep Tracking," 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Spatial information enhancement network for 3D object detection from point cloud," 2022, published in Pattern Recognition

Frequent co-authors include Zhibin Quan, Jifeng Shen, Sen Yang, Wenxiao Cai, and Wenjun Zeng, indicating a collaborative research network focused on areas closely aligned with Wankou Yang's expertise.

Wankou Yang's publications frequently appear in venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Journal of Visual Communication and Image Representation
  • Information Sciences
  • Neurocomputing

Best Publications

  • TokenPose: Learning Keypoint Tokens for Human Pose Estimation

    Unknown

  • ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection

    Unknown

  • Correlation-Aware Deep Tracking

    Unknown

  • A multi-manifold discriminant analysis method for image feature extraction

    Wankou Yang;Changyin Sun;Lei Zhang

  • SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation

    Unknown

  • Kernel sparse representation based classification

    Jun Yin;Zhonghua Liu;Zhong Jin;Wankou Yang

  • A collaborative representation based projections method for feature extraction

    Wankou Yang;Zhenyu Wang;Changyin Sun

  • Multiview Learning With Robust Double-Sided Twin SVM.

    Qiaolin Ye;Peng Huang;Zhao Zhang;Yuhui Zheng

  • Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map

    Biyun Sheng;Chunhua Shen;Guosheng Lin;Jun Li

  • Support vector machine-based optimized decision threshold adjustment strategy for classifying imbalanced data

    Hualong Yu;Chaoxu Mu;Changyin Sun;Wankou Yang

  • Learning robust and discriminative low-rank representations for face recognition with occlusion

    Guangwei Gao;Jian Yang;Xiao-Yuan Jing;Fumin Shen

  • Nonpeaked Discriminant Analysis for Data Representation

    Qiaolin Ye;Zechao Li;Liyong Fu;Zhao Zhang

  • The Ninth Visual Object Tracking VOT2021 Challenge Results

    Matej Kristan;Jiri Matas;Ales Leonardis;Michael Felsberg

  • Spatial information enhancement network for 3D object detection from point cloud

    Unknown

  • Face recognition using adaptive local ternary patterns method

    Wankou Yang;Zhenyu Wang;Baochang Zhang

  • Feature extraction based on Laplacian bidirectional maximum margin criterion

    Wankou Yang;Jianguo Wang;Mingwu Ren;Jingyu Yang

  • Action Recognition Using Nonnegative Action Component Representation and Sparse Basis Selection

    Haoran Wang;Chunfeng Yuan;Weiming Hu;Haibin Ling

  • Learning Tracking Representations via Dual-Branch Fully Transformer Networks

    Fei Xie;Chunyu Wang;Guangting Wang;Wankou Yang

  • ODOC-ELM

    Hualong Yu;Changyin Sun;Xibei Yang;Wankou Yang

  • Vision-Based UAV Self-Positioning in Low-Altitude Urban Environments.

    Unknown

  • A local multiple patterns feature descriptor for face recognition

    Wankou Yang;Xian Zhang;Jun Li

  • Discriminative Multi-View Interactive Image Re-Ranking

    Jun Li;Chang Xu;Wankou Yang;Changyin Sun

  • AL-ELM

    Hualong Yu;Changyin Sun;Wankou Yang;Xibei Yang

  • Kernel Low-Rank Representation for face recognition

    Hoangvu Nguyen;Wankou Yang;Fumin Shen;Changyin Sun

  • Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image

    Lingxiang Yao;Lingxiang Yao;Worapan Kusakunniran;Qiang Wu;Jian Zhang

  • Feature extraction based on fuzzy 2DLDA

    Wankou Yang;Xiaoyong Yan;Lei Zhang;Changyin Sun

  • Clustering-driven unsupervised deep hashing for image retrieval

    Yifan Gu;Shidong Wang;Haofeng Zhang;Yazhou Yao

  • Learning Robust Discriminant Subspace Based on Joint L2,p- and L2,s-Norm Distance Metrics.

    Liyong Fu;Zechao Li;Qiaolin Ye;Hang Yin

Frequent Co-Authors

Changyin Sun
Changyin Sun Southeast University
Changyin Sun
Changyin Sun Southeast University
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Baochang Zhang
Baochang Zhang Beihang University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Haibin Ling
Haibin Ling Westlake University
Chang Xu
Chang Xu University of Sydney
Jian Zhang
Jian Zhang University of Technology Sydney
Xibei Yang
Xibei Yang Jiangsu University of Science and Technology

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