World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10603
World Ranking
5327
National Ranking
714

Overview

Bin Luo is affiliated with Anhui University in China and conducts research primarily within the fields of Computer Science and Engineering. Their work spans various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering, and Molecular Biology.

The scientist's research broadly covers topics such as Video Surveillance and Tracking Methods, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, Remote-Sensing Image Classification, Visual Attention and Saliency Detection, Domain Adaptation and Few-Shot Learning, and Human Pose and Action Recognition.

Bin Luo has published extensively in multiple venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Cognitive Computation
  • Pattern Recognition
  • IEEE Transactions on Circuits and Systems for Video Technology

Recent papers authored or co-authored by Bin Luo include:

  • Quality-Aware Feature Aggregation Network for Robust RGBT Tracking, 2020, IEEE Transactions on Intelligent Vehicles
  • Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Remote Sensing Scene Classification via Multi-Branch Local Attention Network, 2021, IEEE Transactions on Image Processing
  • Edge-Guided Non-Local Fully Convolutional Network for Salient Object Detection, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • ORSI Salient Object Detection via Multiscale Joint Region and Boundary Model, 2021, IEEE Transactions on Geoscience and Remote Sensing

Bin Luo collaborates often with several researchers. Frequent co-authors include:

  • Jin Tang
  • Si-Bao Chen
  • Chenglong Li
  • Qin Xu
  • Chris Ding

Best Publications

  • Structural graph matching using the EM algorithm and singular value decomposition

    Bin Luo;E.R. Hancock

  • Spectral embedding of graphs

    Bin Luo;Bin Luo;Richard C. Wilson;Edwin R. Hancock

  • Semi-Supervised Learning With Graph Learning-Convolutional Networks

    Bo Jiang;Ziyan Zhang;Doudou Lin;Jin Tang

  • Dense Feature Aggregation and Pruning for RGBT Tracking

    Yabin Zhu;Chenglong Li;Bin Luo;Jin Tang

  • Pattern vectors from algebraic graph theory

    R.C. Wilson;E.R. Hancock;Bin Luo

  • RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss

    Andong Lu;Chenglong Li;Yuqing Yan;Jin Tang

  • 2D-LPP: A two-dimensional extension of locality preserving projections

    Sibao Chen;Haifeng Zhao;Min Kong;Bin Luo

  • LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking.

    Chenglong Li;Wanlin Xue;Yaqing Jia;Zhichen Qu

  • Video anomaly detection with spatio-temporal dissociation

    Yunpeng Chang;Zhigang Tu;Wei Xie;Bin Luo

  • Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture

    Chenghai Yang;J. H. Everitt;Qian Du;Bin Luo

  • Quality-Aware Feature Aggregation Network for Robust RGBT Tracking

    Yabin Zhu;Chenglong Li;Jin Tang;Bin Luo

  • RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and a Novel Approach

    Guizhao Wang;Chenglong Li;Yunpeng Ma;Aihua Zheng

  • Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation

    Chenglong Li;Wei Xia;Yan Yan;Bin Luo

  • Remote Sensing Scene Classification via Multi-Branch Local Attention Network.

    Si-Bao Chen;Qing-Song Wei;Wen-Zhong Wang;Jin Tang

  • Large-Scale Graph Database Indexing Based on T-mixture Model and ICA

    Bin Luo;A. Zheng;Jin Tang;Haifeng Zhao

  • SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation

    Xiao Wang;Chenglong Li;Bin Luo;Jin Tang

  • Edge-Guided Non-Local Fully Convolutional Network for Salient Object Detection

    Zhengzheng Tu;Yan Ma;Chenglong Li;Jin Tang

  • ORSI Salient Object Detection via Multiscale Joint Region and Boundary Model

    Zhengzheng Tu;Chao Wang;Chenglong Li;Minghao Fan

  • RGBT Tracking by Trident Fusion Network

    Yabin Zhu;Chenglong Li;Jin Tang;Bin Luo

  • Computational power of tissue P systems for generating control languages

    Xingyi Zhang;Yanjun Liu;Bin Luo;Linqiang Pan

  • Overlapping Community Detection based on Network Decomposition

    Zhuanlian Ding;Xingyi Zhang;Dengdi Sun;Bin Luo

  • A novel intrusion detection system based on feature generation with visualization strategy

    Bin Luo;Jingbo Xia

  • Pedestrian Attribute Recognition: A Survey

    Xiao Wang;Shaofei Zheng;Rui Yang;Bin Luo

  • A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach

    Chenglong Li;Guizhao Wang;Yunpeng Ma;Aihua Zheng

Frequent Co-Authors

Jin Tang
Jin Tang Anhui University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Edwin R. Hancock
Edwin R. Hancock University of York
Amir Hussain
Amir Hussain Edinburgh Napier University
Richard C. Wilson
Richard C. Wilson University of York
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Xingyi Zhang
Xingyi Zhang Anhui University
Liangpei Zhang
Liangpei Zhang Wuhan University
Yann Gousseau
Yann Gousseau Télécom ParisTech
Jean-François Aujol
Jean-François Aujol University of Bordeaux

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