World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6935
World Ranking
11987
National Ranking
4894

Overview

Bin Fan is affiliated with Carnegie Mellon University in the United States. Their primary fields of research include Computer Science and Engineering, with a focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering, and Biomedical Engineering.

Their research encompasses a range of topics, notably:

  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Domain Adaptation and Few-Shot Learning
  • Image Enhancement Techniques

Bin Fan has contributed to several recent publications, which include:

  • "Video object detection for autonomous driving: Motion-aid feature calibration," 2020, Neurocomputing
  • "Image Enhancement Guided Object Detection in Visually Degraded Scenes," 2023, IEEE Transactions on Neural Networks and Learning Systems
  • "Deep attention aware feature learning for person re-Identification," 2022, Pattern Recognition
  • "A fundamental theorem for eco-environmental surface modelling and its applications," 2020, Science China Earth Sciences
  • "Exploring Rich Semantics for Open-Set Action Recognition," 2023, IEEE Transactions on Multimedia

Frequent co-authors in Bin Fan's research include:

  • Hongmin Liu
  • Gaofeng Meng
  • Hui Zeng
  • Shiming Xiang
  • Yufan Hu

Bin Fan has published numerous papers across various academic venues. Notable frequent publication venues include:

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

Best Publications

  • Relation-Shape Convolutional Neural Network for Point Cloud Analysis

    Yongcheng Liu;Bin Fan;Shiming Xiang;Chunhong Pan

  • L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space

    Yurun Tian;Bin Fan;Fuchao Wu

  • AugFPN: Improving Multi-Scale Feature Learning for Object Detection

    Chaoxu Guo;Bin Fan;Qian Zhang;Shiming Xiang

  • Local Intensity Order Pattern for feature description

    Zhenhua Wang;Bin Fan;Fuchao Wu

  • SOSNet: Second Order Similarity Regularization for Local Descriptor Learning

    Yurun Tian;Xin Yu;Bin Fan;Fuchao Wu

  • DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

    Yongcheng Liu;Bin Fan;Gaofeng Meng;Jiwen Lu

  • Spectral Unmixing via Data-Guided Sparsity

    Feiyun Zhu;Ying Wang;Bin Fan;Shiming Xiang

  • Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

    Yongcheng Liu;Bin Fan;Lingfeng Wang;Jun Bai

  • Structured Sparse Method for Hyperspectral Unmixing

    Feiyun Zhu;Ying Wang;Shiming Xiang;Bin Fan

  • Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network

    Hengliang Luo;Yi Yang;Bei Tong;Fuchao Wu

  • Rotationally Invariant Descriptors Using Intensity Order Pooling

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT

    Bin Fan;Chunlei Huo;Chunhong Pan;Qingqun Kong

  • Aggregating gradient distributions into intensity orders: A novel local image descriptor

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Robust line matching through line-point invariants

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Line matching leveraged by point correspondences

    Bin Fan;Fuchao Wu;Zhanyi Hu

  • Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images

    Liang Yan;Bin Fan;Hongmin Liu;Chunlei Huo

  • Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery

    Guoli Wang;Bin Fan;Shiming Xiang;Chunhong Pan

  • Receptive Fields Selection for Binary Feature Description

    Bin Fan;Qingqun Kong;Tomasz Trzcinski;Zhiheng Wang

  • Progressive Sparse Local Attention for Video Object Detection

    Chaoxu Guo;Bin Fan;Jie Gu;Qian Zhang

  • Discriminant Tensor Spectral–Spatial Feature Extraction for Hyperspectral Image Classification

    Zisha Zhong;Bin Fan;Jiangyong Duan;Lingfeng Wang

  • Video object detection for autonomous driving: Motion-aid feature calibration

    Dongfang Liu;Yiming Cui;Yingjie Victor Chen;Jiyong Zhang

  • Data guided Sparse Method for Hyperspectral Unmixing.

    Feiyun Zhu;Ying Wang;Gaofeng Meng;Bin Fan

Frequent Co-Authors

Shiming Xiang
Shiming Xiang Chinese Academy of Sciences
Chunhong Pan
Chunhong Pan Chinese Academy of Sciences
Xinchao Wang
Xinchao Wang National University of Singapore
Zhanyi Hu
Zhanyi Hu Chinese Academy of Sciences
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Jiwen Lu
Jiwen Lu Tsinghua University
Junwei Han
Junwei Han Northwestern Polytechnical University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Shiyu Chang
Shiyu Chang University of California, Santa Barbara

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