World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
99
Citations
41356
World Ranking
388
National Ranking
46

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award

Overview

Haibin Ling is affiliated with Stony Brook University in the United States and works primarily in the field of Computer Science. Their research output includes extensive work in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, and Aerospace Engineering.

The scientist's research topics cover a broad range of areas, including:

  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Visual Attention and Saliency Detection
  • Advanced Vision and Imaging
  • Anomaly Detection Techniques and Applications

Haibin Ling has recently published several papers in leading venues. Notable recent publications include:

  • Detection and Tracking Meet Drones Challenge, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Salient Object Detection in the Deep Learning Era: An In-Depth Survey, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection, 2021, IEEE Transactions on Image Processing
  • AutoFormer: Searching Transformers for Visual Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • CBNet: A Novel Composite Backbone Network Architecture for Object Detection, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The researcher frequently collaborates with a number of co-authors, including Heng Fan, Bingyao Huang, Yong Xu, Gongyang Li, and Zhi Liu.

Haibin Ling's publications often appear in well-known venues, with numerous contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Visualization and Computer Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

  • LIME: Low-Light Image Enhancement via Illumination Map Estimation

    Xiaojie Guo;Yu Li;Haibin Ling

  • U2Fusion: A Unified Unsupervised Image Fusion Network.

    Han Xu;Jiayi Ma;Junjun Jiang;Xiaojie Guo

  • LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

    Heng Fan;Haibin Ling;Liting Lin;Fan Yang

  • Shape Classification Using the Inner-Distance

    Haibin Ling;D.W. Jacobs

  • Real time robust L1 tracker using accelerated proximal gradient approach

    Chenglong Bao;Yi Wu;Haibin Ling;Hui Ji

  • Robust Visual Tracking and Vehicle Classification via Sparse Representation

    Xue Mei;Haibin Ling

  • Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

    Fan Yang;Lei Zhang;Sijia Yu;Danil Prokhorov

  • Detection and Tracking Meet Drones Challenge.

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Robust visual tracking using ℓ 1 minimization

    Xue Mei;Haibin Ling

  • M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network

    Qijie Zhao;Tao Sheng;Yongtao Wang;Zhi Tang

  • Encoding Color Information for Visual Tracking: Algorithms and Benchmark

    Pengpeng Liang;Erik Blasch;Haibin Ling

  • Salient Object Detection in the Deep Learning Era: An In-depth Survey.

    Wenguan Wang;Qiuxia Lai;Huazhu Fu;Jianbing Shen

  • Saliency Detection on Light Field

    Nianyi Li;Jinwei Ye;Yu Ji;Haibin Ling

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection

    Xi Li;Liming Zhao;Lina Wei;Ming-Hsuan Yang

  • Automatic thumbnail cropping and its effectiveness

    Bongwon Suh;Haibin Ling;Benjamin B. Bederson;David W. Jacobs

  • An Efficient Earth Mover's Distance Algorithm for Robust Histogram Comparison

    Haibin Ling;K. Okada

  • Transfer Learning Based Visual Tracking with Gaussian Processes Regression

    Jin Gao;Haibin Ling;Weiming Hu;Junliang Xing

  • Minimum error bounded efficient ℓ1 tracker with occlusion detection.

    Xue Mei;Haibin Ling;Yi Wu;Erik Blasch

  • Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking

    Heng Fan;Haibin Ling

  • LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking

    Heng Fan;Liting Lin;Fan Yang;Peng Chu

Frequent Co-Authors

Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Weiming Hu
Weiming Hu Chinese Academy of Sciences
David W. Jacobs
David W. Jacobs University of Maryland, College Park
Jingyi Yu
Jingyi Yu ShanghaiTech University
Danil V. Prokhorov
Danil V. Prokhorov Toyota Motor Corporation (Japan)
Wenguan Wang
Wenguan Wang Zhejiang University
Li Bai
Li Bai University of Nottingham
Jianbing Shen
Jianbing Shen University of Macau
Junliang Xing
Junliang Xing Tsinghua University

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