World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
13728
World Ranking
4042
National Ranking
534

Overview

Kun Fu is affiliated with the University of Chinese Academy of Sciences in China. Their research spans multiple domains within computer science and engineering, focusing primarily on areas related to remote sensing and image analysis.

The scientist has contributed extensively to the fields of Computer Science and Engineering, with a significant emphasis on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Artificial Intelligence, and Civil and Structural Engineering.

Key topics covered in Kun Fu's work include:

  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Remote-Sensing Image Classification
  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Domain Adaptation and Few-Shot Learning
  • Remote Sensing and LiDAR Applications

Kun Fu has published papers in several prominent scientific venues, notably:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • arXiv (Cornell University)
  • ISPRS Journal of Photogrammetry and Remote Sensing

Recent publications by Kun Fu or related closely to their research include:

  • "FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery," 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "RingMo: A Remote Sensing Foundation Model With Masked Image Modeling," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation," 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Collaborations have been frequent with several researchers, reflecting ongoing partnerships in the research community. Frequent co-authors include:

  • Xian Sun
  • Wenhui Diao
  • Hongfeng Yu
  • Yingchao Feng
  • Wenkai Zhang

Best Publications

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

    Unknown

  • Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images

    Yang Zhan;Kun Fu;Menglong Yan;Xian Sun

  • Orientation robust object detection in aerial images using deep convolutional neural network

    Haigang Zhu;Xiaogang Chen;Weiqun Dai;Kun Fu

  • Automatic Ship Detection of Remote Sensing Images from Google Earth in Complex Scenes Based on Multi-Scale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • A Densely Connected End-to-End Neural Network for Multiscale and Multiscene SAR Ship Detection

    Jiao Jiao;Yue Zhang;Hao Sun;Xue Yang

  • Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks

    Xue Yang;Hao Sun;Kun Fu;Jirui Yang

  • RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

    Unknown

  • FMSSD: Feature-Merged Single-Shot Detection for Multiscale Objects in Large-Scale Remote Sensing Imagery

    Peijin Wang;Xian Sun;Wenhui Diao;Kun Fu

  • SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects

    Xue Yang;Jirui Yang;Junchi Yan;Yue Zhang

  • Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images

    Kun Fu;Zhonghan Chang;Yue Zhang;Guangluan Xu

  • Multi-task Representation Learning for Travel Time Estimation

    Yaguang Li;Kun Fu;Zheng Wang;Cyrus Shahabi

  • An Anchor-Free Method Based on Feature Balancing and Refinement Network for Multiscale Ship Detection in SAR Images

    Jiamei Fu;Xian Sun;Zhirui Wang;Kun Fu

  • BFSIFT: A Novel Method to Find Feature Matches for SAR Image Registration

    Shanhu Wang;Hongjian You;Kun Fu

  • MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

    Daoyu Lin;Kun Fu;Yang Wang;Guangluan Xu

  • Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images

    Ruigang Niu;Xian Sun;Yu Tian;Wenhui Diao

  • Efficient Saliency-Based Object Detection in Remote Sensing Images Using Deep Belief Networks

    Wenhui Diao;Xian Sun;Xinwei Zheng;Fangzheng Dou

  • Identifying Different Transportation Modes from Trajectory Data Using Tree-Based Ensemble Classifiers

    Zhibin Xiao;Yang Wang;Kun Fu;Fan Wu

  • Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

    Xian Sun;Bing Wang;Zhirui Wang;Hao Li

  • Remote Sensing Cross-Modal Text-Image Retrieval Based on Global and Local Information

    Unknown

  • Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

    Zhiqiang Yuan;Wenkai Zhang;Kun Fu;Xuan Li

  • Position Detection and Direction Prediction for Arbitrary-Oriented Ships via Multitask Rotation Region Convolutional Neural Network

    Xue Yang;Hao Sun;Xian Sun;Menglong Yan

  • A New Method on Inshore Ship Detection in High-Resolution Satellite Images Using Shape and Context Information

    Ge Liu;Yasen Zhang;Xinwei Zheng;Xian Sun

  • Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model

    Wanceng Zhang;Xian Sun;Kun Fu;Chenyuan Wang

  • Automatic Water-Body Segmentation From High-Resolution Satellite Images via Deep Networks

    Ziming Miao;Kun Fu;Hao Sun;Xian Sun

Frequent Co-Authors

Xian Sun
Xian Sun University of Chinese Academy of Sciences
Xue Yang
Xue Yang Shanghai Jiao Tong University
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
William J. Emery
William J. Emery University of Colorado Boulder
Cheng Wang
Cheng Wang Xiamen University
Qixiang Ye
Qixiang Ye Chinese Academy of Sciences
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Feng Xu
Feng Xu Fudan University
Thomas Blaschke
Thomas Blaschke University of Salzburg

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