World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
19910
World Ranking
1776
National Ranking
101

Overview

Jungong Han is affiliated with Aberystwyth University in the United Kingdom. Their research primarily focuses on computer science, with significant contributions in computer vision and pattern recognition. The scientist has published extensively, with 557 publications in these areas.

Their scholarly work spans several subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering

Han's main research topics encompass diverse areas related to machine learning and image analysis:

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

Frequent co-authors who have collaborated with Han include:

  • Guiguang Ding
  • Qiang Zhang
  • Yanwei Pang
  • Nianchang Huang
  • Xinbo Gao

Han's publications have appeared in multiple well-established venues such as:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Neural Networks and Learning Systems

Notable recent papers include:

  • Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • YOLOv10: Real-Time End-to-End Object Detection, 2024, arXiv (Cornell University)
  • Cross-modality deep feature learning for brain tumor segmentation, 2020, Pattern Recognition
  • FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

  • RepVGG: Making VGG-style ConvNets Great Again

    Xiaohan Ding;Xiangyu Zhang;Ningning Ma;Jungong Han

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

    Jungong Han;Ling Shao;Dong Xu;Jamie Shotton

  • ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

    Xiaohan Ding;Yuchen Guo;Guiguang Ding;Jungong Han

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review

    Qiang Zhang;Yi Liu;Rick S. Blum;Jungong Han

  • Diverse Branch Block: Building a Convolution as an Inception-like Unit

    Xiaohan Ding;Xiangyu Zhang;Jungong Han;Guiguang Ding

  • IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

    Hui Chen;Guiguang Ding;Xudong Liu;Zijia Lin

  • Gabor Convolutional Networks

    Shangzhen Luan;Baochang Zhang;Chen Chen;Xianbin Cao

  • Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification

    Liuyu Xiang;Guiguang Ding;Jungong Han

  • Cross-Modality Deep Feature Learning for Brain Tumor Segmentation

    Dingwen Zhang;Guohai Huang;Qiang Zhang;Jungong Han

  • Gabor Convolutional Networks

    Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han

  • Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure

    Xiaohan Ding;Guiguang Ding;Yuchen Guo;Jungong Han

  • RGB-T Salient Object Detection via Fusing Multi-Level CNN Features

    Qiang Zhang;Nianchang Huang;Lin Yao;Dingwen Zhang

  • Cross-View Retrieval via Probability-Based Semantics-Preserving Hashing

    Zijia Lin;Guiguang Ding;Jungong Han;Jianmin Wang

  • Automatic video-based human motion analyzer for consumer surveillance system

    Weilun Lao;Jungong Han

  • ABMDRNet: Adaptive-weighted Bi-directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

    Qiang Zhang;Shenlu Zhao;Yongjiang Luo;Dingwen Zhang

  • RGB-D datasets using microsoft kinect or similar sensors: a survey

    Ziyun Cai;Jungong Han;Li Liu;Ling Shao

  • Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining

    Dingwen Zhang;Junwei Han;Jungong Han;Ling Shao

  • Episode-Based Prototype Generating Network for Zero-Shot Learning

    Yunlong Yu;Zhong Ji;Jungong Han;Zhongfei Zhang

  • Action Recognition Using 3D Histograms of Texture and A Multi-Class Boosting Classifier

    Baochang Zhang;Yun Yang;Chen Chen;Linlin Yang

  • From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis

    Yang Long;Li Liu;Ling Shao;Fumin Shen

  • Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images

    Dingwen Zhang;Guohai Huang;Qiang Zhang;Jungong Han

  • Global Sparse Momentum SGD for Pruning Very Deep Neural Networks

    Xiaohan Ding;guiguang ding;Xiangxin Zhou;Yuchen Guo

  • Memory Attention Networks for Skeleton-based Action Recognition

    Chunyu Xie;Ce Li;Baochang Zhang;Chen Chen

Frequent Co-Authors

Guiguang Ding
Guiguang Ding Tsinghua University
Ling Shao
Ling Shao Terminus International
Baochang Zhang
Baochang Zhang Beihang University
Yanwei Pang
Yanwei Pang Tianjin University
Junwei Han
Junwei Han Northwestern Polytechnical University
Sicheng Zhao
Sicheng Zhao Tsinghua University
Yue Gao
Yue Gao Tsinghua University
Quanxue Gao
Quanxue Gao Xidian University
Qiang Zhang
Qiang Zhang Dalian University of Technology
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology

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