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D-Index & Metrics

Computer Science

D-Index
45
Citations
8079
World Ranking
7213
National Ranking
956

Overview

Hongliang Li is affiliated with the University of Electronic Science and Technology of China. Their research contributions primarily lie within the field of Computer Science, with a strong focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology, and Signal Processing.

The scientist's recent publications cover a range of topics in video technology and multimedia processing, including the following papers:

  • Robust Texture Description Using Local Grouped Order Pattern and Non-Local Binary Pattern, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Occupancy Map Guided Fast Video-Based Dynamic Point Cloud Coding, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Hierarchical Context Features Embedding for Object Detection, 2020, IEEE Transactions on Multimedia

Hongliang Li's publication venues demonstrate consistent contributions to specialized journals, with frequent appearances including:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • SSRN Electronic Journal

The scientist collaborates regularly with several coauthors, reflecting a networked approach to research. Frequent collaborators include Qingbo Wu, Fanman Meng, Heqian Qiu, King Ngi Ngan, and Linfeng Xu.

Research topics covered by Hongliang Li emphasize various areas within machine learning, image and video processing, and pattern recognition. Their main research topics include:

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

Best Publications

  • Waterloo Exploration Database: New Challenges for Image Quality Assessment Models

    Kede Ma;Zhengfang Duanmu;Qingbo Wu;Zhou Wang

  • VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results

    Dawei Du;Yue Zhang;Zexin Wang;Zhikang Wang

  • A Co-Saliency Model of Image Pairs

    Hongliang Li;King Ngi Ngan

  • Multimodal medical image fusion based on IHS and PCA

    Changtao He;Quanxi Liu;Hongliang Li;Haixu Wang

  • A Fast HEVC Inter CU Selection Method Based on Pyramid Motion Divergence

    Jian Xiong;Hongliang Li;Qingbo Wu;Fanman Meng

  • VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results.

    Dawei Du;Longyin Wen;Pengfei Zhu;Heng Fan

  • Key-Word-Aware Network for Referring Expression Image Segmentation

    Hengcan Shi;Hongliang Li;Fanman Meng;Qingbo Wu

  • Object Co-Segmentation Based on Shortest Path Algorithm and Saliency Model

    Fanman Meng;Hongliang Li;Guanghui Liu;King Ngi Ngan

  • Blind Image Quality Assessment Based on Multichannel Feature Fusion and Label Transfer

    Qingbo Wu;Hongliang Li;Fanman Meng;King N. Ngan

  • LETRIST: Locally Encoded Transform Feature Histogram for Rotation-Invariant Texture Classification

    Tiecheng Song;Hongliang Li;Fanman Meng;Qingbo Wu

  • VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • A highly efficient method for blind image quality assessment

    Qingbo Wu;Zhou Wang;Hongliang Li

  • Co-Salient Object Detection From Multiple Images

    Hongliang Li;Fanman Meng;King Ngi Ngan

  • A Multiple Visual Models Based Perceptive Analysis Framework for Multilevel Video Summarization

    Junyong You;Guizhong Liu;Li Sun;Hongliang Li

  • VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results

    Pengfei Zhu;Yue Zhang;Liefeng Bo;Hailin Shi

  • An Efficient Frame-Content Based Intra Frame Rate Control for High Efficiency Video Coding

    Miaohui Wang;King Ngi Ngan;Hongliang Li

  • Saliency model-based face segmentation and tracking in head-and-shoulder video sequences

    Hongliang Li;King N. Ngan

  • Group MAD Competition? A New Methodology to Compare Objective Image Quality Models

    Kede Ma;Qingbo Wu;Zhou Wang;Zhengfang Duanmu

  • Low-Delay Rate Control for Consistent Quality Using Distortion-Based Lagrange Multiplier

    Miaohui Wang;King Ngi Ngan;Hongliang Li

  • Noise-Robust Texture Description Using Local Contrast Patterns via Global Measures

    Tiecheng Song;Hongliang Li;Fanman Meng;Qingbo Wu

  • Simultaneously Detecting and Counting Dense Vehicles From Drone Images

    Wei Li;Hongliang Li;Qingbo Wu;Xiaoyu Chen

  • Fast HEVC Inter CU Decision Based on Latent SAD Estimation

    Jian Xiong;Hongliang Li;Fanman Meng;Qingbo Wu

  • Unsupervized Video Segmentation With Low Depth of Field

    Hongliang Li;K.N. Ngan

Frequent Co-Authors

King Ngi Ngan
King Ngi Ngan University of Electronic Science and Technology of China
Fanman Meng
Fanman Meng University of Electronic Science and Technology of China
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Jianfei Cai
Jianfei Cai Monash University
Zhou Wang
Zhou Wang University of Waterloo
Moncef Gabbouj
Moncef Gabbouj Tampere University
Kede Ma
Kede Ma City University of Hong Kong
Qinghua Hu
Qinghua Hu Tianjin University
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance

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