World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
5772
World Ranking
7713
National Ranking
1020

Overview

Hanzi Wang is affiliated with Xiamen University in China and has a research focus primarily within the field of Computer Science, with significant contributions to Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields. Their work spans various aspects of video surveillance, neural networks, human action recognition, and emotion analysis.

Their research output includes numerous publications in prominent venues, reflecting an emphasis on intelligent transportation systems, video technology, and affective computing. Representative recent papers include:

  • Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes (2020, IEEE Transactions on Intelligent Transportation Systems)
  • Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification (2020, IEEE Transactions on Circuits and Systems for Video Technology)
  • Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features (2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence)
  • Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes (2021, IEEE Transactions on Circuits and Systems for Video Technology)
  • Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification (2020, IEEE Transactions on Affective Computing)

Wang has coauthored extensively with several researchers, notably Yan Yan, Yang Lu, Jing-Hao Xue, Zhanyu Ma, and Wei-Shi Zheng. These collaborations highlight strong research networks in the fields of vision and AI technologies.

Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • International Journal of Computer Vision
  • IEEE Transactions on Image Processing
  • 2022 IEEE International Conference on Image Processing (ICIP)

Wang's research interests cover multiple topics, including:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Emotion and Mood Recognition
  • Advanced Image and Video Retrieval Techniques
  • Face Recognition and Analysis
  • Anomaly Detection Techniques and Applications

In addition to articles, Wang has contributed book publications with Springer Science+Business Media, focusing on Pattern Recognition and Computer Vision in 2023. These publications further complement their research dissemination activities.

Overall, the scientific contributions of Hanzi Wang reflect ongoing engagement with complex problems in video analysis, machine learning, and applied computer vision, supported by a broad scholarly network and participation in key academic forums across international venues.

Best Publications

  • Adaptive Object Tracking Based on an Effective Appearance Filter

    Hanzi Wang;D. Suter;K. Schindler;Chunhua Shen

  • A consensus-based method for tracking: Modelling background scenario and foreground appearance

    Hanzi Wang;David Suter

  • Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

    Delian Ruan;Yan Yan;Shenqi Lai;Zhenhua Chai

  • Robust adaptive-scale parametric model estimation for computer vision

    H. Wang;D. Suter

  • Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

    Yukang Zhang;Yan Yan;Yang Lu;Hanzi Wang

  • Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

    Hanzi Wang;Tat-Jun Chin;D. Suter

  • Robust fitting of multiple structures: The statistical learning approach

    Tat-Jun Chin;Hanzi Wang;David Suter

  • Real-Time High-Performance Semantic Image Segmentation of Urban Street Scenes

    Genshun Dong;Yan Yan;Chunhua Shen;Hanzi Wang

  • Generalized Kernel-Based Visual Tracking

    Chunhua Shen;Junae Kim;Hanzi Wang

  • Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking

    Xi Li;A. Dick;Chunhua Shen;A. van den Hengel

  • MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation

    Hanzi Wang;David Suter

  • A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]

    Hanzi Wang;D. Suter

  • Background Subtraction Based on a Robust Consensus Method

    Hanzi Wang;D. Suter

  • A Novel Robust Statistical Method for Background Initialization and Visual Surveillance

    Hanzi Wang;David Suter

  • Linear discriminant analysis using rotational invariant L1 norm

    Xi Li;Weiming Hu;Hanzi Wang;Zhongfei Zhang

  • Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification

    Xiaokang Zhang;Yan Yan;Jing-Hao Xue;Yang Hua

  • A System for Video-Based Navigation for Endoscopic Endonasal Skull Base Surgery

    D. J. Mirota;H. Wang;R. H. Taylor;M. Ishii

  • Multi-label learning based deep transfer neural network for facial attribute classification

    Ni Zhuang;Yan Yan;Si Chen;Hanzi Wang

  • A Generalized Kernel Consensus-Based Robust Estimator

    Hanzi Wang;D. Mirota;G.D. Hager

  • Smooth foreground-background segmentation for video processing

    Konrad Schindler;Hanzi Wang

  • Rapid target detection method based on convolutional neural network

    Wang Hanzi;Guo Guanjun;Yan Yan

Frequent Co-Authors

David Suter
David Suter Edith Cowan University
Chunhua Shen
Chunhua Shen Zhejiang University
Tat-Jun Chin
Tat-Jun Chin University of Adelaide
Xi Li
Xi Li Zhejiang University
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Yanyun Qu
Yanyun Qu Xiamen University
Jing-Hao Xue
Jing-Hao Xue University College London
Xinbo Gao
Xinbo Gao Xidian University
Gregory D. Hager
Gregory D. Hager Johns Hopkins University

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