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

D-Index & Metrics

Computer Science

D-Index
128
Citations
65769
World Ranking
107
National Ranking
3

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2023 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2021 - IEEE Fellow For contributions to computer vision and representation learning
  • 2018 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to human action recognition and video understanding

Overview

Ling Shao is affiliated with Terminus International in the United Arab Emirates. Their research primarily focuses on computer science, with significant contributions in the subfields of computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, computational mechanics, and biomedical engineering.

Their work covers a range of main topics including domain adaptation and few-shot learning, advanced neural network applications, multimodal machine learning applications, advanced image and video retrieval techniques, video surveillance and tracking methods, visual attention and saliency detection, and human pose and action recognition.

Ling Shao has published extensively across various high-impact venues. Some frequent publication venues are:

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

The following are selected recent papers authored or coauthored by Ling Shao, listing the title, year, and publication venue:

  • Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Deep Learning for Person Re-Identification: A Survey and Outlook, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • PVT v2: Improved baselines with pyramid vision transformer, 2022, Computational Visual Media
  • Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images, 2020, IEEE Transactions on Medical Imaging
  • Concealed Object Detection, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Ling Shao has collaborated frequently with several researchers including:

  • Deng-Ping Fan
  • Huazhu Fu
  • Xiantong Zhen
  • Jianbing Shen
  • Fahad Shahbaz Khan

In recognition of their contributions, Ling Shao has received awards such as:

  • IEEE Fellow, 2021, for contributions to computer vision and representation learning
  • Fellow of the International Association for Pattern Recognition (IAPR), 2018, for contributions to human action recognition and video understanding

Best Publications

  • A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior

    Qingsong Zhu;Jiaming Mai;Ling Shao

  • Enhanced Computer Vision With Microsoft Kinect Sensor: A Review

    Jungong Han;Ling Shao;Dong Xu;Jamie Shotton

  • PVTv2: Improved Baselines with Pyramid Vision Transformer

    Wenhai Wang;Enze Xie;Xiang Li;Deng-Ping Fan

  • Deep Learning for Person Re-identification: A Survey and Outlook.

    Mang Ye;Jianbing Shen;Gaojie Lin;Tao Xiang

  • Multi-Stage Progressive Image Restoration

    Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat

  • PraNet: Parallel Reverse Attention Network for Polyp Segmentation

    Deng-Ping Fan;Ge-Peng Ji;Tao Zhou;Geng Chen

  • A survey on fall detection: Principles and approaches

    Muhammad Mubashir;Ling Shao;Luke Seed

  • Transfer Learning for Visual Categorization: A Survey

    Ling Shao;Fan Zhu;Xuelong Li

  • Recent advances and trends in visual tracking: A review

    Hanxuan Yang;Ling Shao;Feng Zheng;Liang Wang

  • HRank: Filter Pruning Using High-Rank Feature Map

    Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang

  • Concealed Object Detection

    Unknown

  • Camouflaged Object Detection

    Deng-Ping Fan;Ge-Peng Ji;Guolei Sun;Ming-Ming Cheng

  • Learning Enriched Features for Fast Image Restoration and Enhancement

    Unknown

  • Video Salient Object Detection via Fully Convolutional Networks

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

    Di Wu;Lionel Pigou;Pieter-Jan Kindermans;Nam Do-Hoang Le

  • A rapid learning algorithm for vehicle classification

    Xuezhi Wen;Ling Shao;Yu Xue;Wei Fang

  • See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

    Xiankai Lu;Wenguan Wang;Chao Ma;Jianbing Shen

  • STAR: A Structure and Texture Aware Retinex Model

    Jun Xu;Yingkun Hou;Dongwei Ren;Li Liu

  • Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system

    Habib Zaidi;N Ojha;M Morich;J Griesmer

  • From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms

    Ling Shao;Ruomei Yan;Xuelong Li;Yan Liu

  • Consistent Video Saliency Using Local Gradient Flow Optimization and Global Refinement

    Wenguan Wang;Jianbing Shen;Ling Shao

  • Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks

    Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen

Frequent Co-Authors

Jianbing Shen
Jianbing Shen University of Macau
Jungong Han
Jungong Han Aberystwyth University
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Xiantong Zhen
Xiantong Zhen University of Amsterdam
Yanwei Pang
Yanwei Pang Tianjin University
Xuelong Li
Xuelong Li China Telecom (China)
Wenguan Wang
Wenguan Wang Zhejiang University
Huazhu Fu
Huazhu Fu Agency for Science, Technology and Research
Fatih Porikli
Fatih Porikli Australian National University

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