World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9556
World Ranking
11008
National Ranking
1359

Overview

Hong Chang is affiliated with the Chinese Academy of Sciences in China and has a significant research profile in the fields of Computer Science and Engineering. Their work mainly spans the subfields of Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Mechanical Engineering, and Electrical and Electronic Engineering.

The scientist's recent publications include:

  • Clothes-Changing Person Re-identification with RGB Modality Only, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Feature Completion for Occluded Person Re-Identification, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Cross-Modal Knowledge Adaptation for Language-Based Person Search, 2021, IEEE Transactions on Image Processing
  • Salient-to-Broad Transition for Video Person Re-identification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IAUnet: Global Context-Aware Feature Learning for Person Reidentification, 2020, IEEE Transactions on Neural Networks and Learning Systems

The main research topics explored by Hong Chang include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Gait Recognition and Analysis
  • Face Recognition and Analysis
  • Advanced Neural Network Applications

Hong Chang has collaborated frequently with several co-authors, including:

  • Bingpeng Ma
  • Shiguang Shan
  • Xilin Chen
  • Ruibing Hou
  • Xinqian Gu

The scientist has published extensively in several venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia

Hong Chang's work contributes notably to advanced methods in person re-identification, image and video analysis, and cross-modal learning, indicating a multidisciplinary approach within their primary domains of computer vision and artificial intelligence.

Best Publications

  • Super-resolution through neighbor embedding

    Hong Chang;Dit-Yan Yeung;Yimin Xiong

  • Robust path-based spectral clustering

    Hong Chang;Dit-Yan Yeung

  • SVC2004: First International Signature Verification Competition

    Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

  • Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

    Hongkai Zhang;Hong Chang;Bingpeng Ma;Naiyan Wang

  • Interaction-And-Aggregation Network for Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Cross Attention Network for Few-shot Classification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • Deep Network Cascade for Image Super-resolution

    Zhen Cui;Zhen Cui;Hong Chang;Shiguang Shan;Bineng Zhong

  • Stacked Progressive Auto-Encoders (SPAE) for Face Recognition Across Poses

    Meina Kan;Shiguang Shan;Hong Chang;Xilin Chen

  • Low-Resolution Face Recognition via Coupled Locality Preserving Mappings

    Bo Li;Hong Chang;Shiguang Shan;Xilin Chen

  • Robust locally linear embedding

    Hong Chang;Dit-Yan Yeung

  • VRSTC: Occlusion-Free Video Person Re-Identification

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Appearance-Preserving 3D Convolution for Video-Based Person Re-identification

    Xinqian Gu;Hong Chang;Bingpeng Ma;Hongkai Zhang

  • Temporal Complementary Learning for Video Person Re-Identification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Shiguang Shan

  • A Kernel Approach for Semisupervised Metric Learning

    Dit-Yan Yeung;Hong Chang

  • TCTS: A Task-Consistent Two-Stage Framework for Person Search

    Cheng Wang;Bingpeng Ma;Hong Chang;Shiguang Shan

  • BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification

    Ruibing Hou;Hong Chang;Bingpeng Ma;Rui Huang

  • Visual Relationship Detection With Deep Structural Ranking.

    Kongming Liang;Yuhong Guo;Hong Chang;Xilin Chen

  • Locally linear metric adaptation for semi-supervised clustering

    Hong Chang;Dit-Yan Yeung

  • Feature Completion for Occluded Person Re-Identification.

    Ruibing Hou;Bingpeng Ma;Hong Chang;Xinqian Gu

  • Aligning Coupled Manifolds for Face Hallucination

    Bo Li;Hong Chang;Shiguang Shan;Xilin Chen

  • Semi-Supervised Discriminant Analysis via Spectral Transduction

    Deming Zhai;Hong Chang;Bo Li;Shiguang Shan

  • Low-Resolution Face Recognition via Coupled

    Locality Preserving Mappings;Bo Li;Hong Chang;Shiguang Shan

Frequent Co-Authors

Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology
Wen Gao
Wen Gao Peking University
Yuhong Guo
Yuhong Guo Carleton University
Debin Zhao
Debin Zhao Harbin Institute of Technology
Naiyan Wang
Naiyan Wang Hong Kong University of Science and Technology
Jiebo Luo
Jiebo Luo University of Rochester
Tao Mei
Tao Mei Jingdong (China)
Shifeng Zhang
Shifeng Zhang Beijing Forestry University

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