World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Singapore
2026

D-Index & Metrics

Computer Science

D-Index
93
Citations
31452
World Ranking
522
National Ranking
10

Research.com Recognitions

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

Overview

Weisi Lin is affiliated with Nanyang Technological University in Singapore. Their research primarily spans across the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Artificial Intelligence, and Signal Processing.

The scientist's work covers a variety of advanced topics, including:

  • Image and Video Quality Assessment
  • Visual Attention and Saliency Detection
  • Advanced Image Processing Techniques
  • Advanced Image Fusion Techniques
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis

Weisi Lin has contributed to several recent papers that illustrate the scope of their research interests. Notable publications include:

  • "Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection" (2021) published in IEEE Transactions on Image Processing
  • "An engineered CRISPR-Cas12a variant and DNA-RNA hybrid guides enable robust and rapid COVID-19 testing" (2021) published in Nature Communications
  • "Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection" (2021) published in IEEE Transactions on Circuits and Systems for Video Technology
  • "End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network" (2020) published in IEEE Transactions on Image Processing
  • "Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images" (2022) published in IEEE Transactions on Cybernetics

The scientist frequently collaborates with a number of co-authors, including:

  • Haoning Wu
  • Guangtao Zhai
  • Chaofeng Chen
  • Xiongkuo Min
  • Zicheng Zhang

Their work has appeared in a variety of publication venues, with a strong presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Perceptual visual quality metrics: A survey

    Weisi Lin;C. C. Jay Kuo

  • Image Quality Assessment Based on Gradient Similarity

    Anmin Liu;Weisi Lin;M. Narwaria

  • Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

    Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin

  • A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images

    Shiqi Wang;Kede Ma;Hojatollah Yeganeh;Zhou Wang

  • Review of Visual Saliency Detection With Comprehensive Information

    Runmin Cong;Jianjun Lei;Huazhu Fu;Ming-Ming Cheng

  • The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

    Ke Gu;Guangtao Zhai;Weisi Lin;Min Liu

  • No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

    Yuming Fang;Kede Ma;Zhou Wang;Weisi Lin

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

    Yuming Fang;Zhenzhong Chen;Weisi Lin;Chia-Wen Lin

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images

    Xiongkuo Min;Kede Ma;Ke Gu;Guangtao Zhai

  • Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection

    Gongyang Li;Zhi Liu;Minyu Chen;Zhen Bai

  • A Psychovisual Quality Metric in Free-Energy Principle

    Guangtao Zhai;Xiaolin Wu;Xiaokang Yang;Weisi Lin

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • A locally adaptive algorithm for measuring blocking artifacts in images and videos

    Feng Pan;Xiao Lin;Susanto Rahardja;Weisi Lin

  • Perceptual Quality Metric With Internal Generative Mechanism

    Jinjian Wu;Weisi Lin;Guangming Shi;Anmin Liu

  • No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments

    Leida Li;Weisi Lin;Xuesong Wang;Gaobo Yang

  • A Saliency Detection Model Using Low-Level Features Based on Wavelet Transform

    N. Imamoglu;Weisi Lin;Yuming Fang

  • A Video Saliency Detection Model in Compressed Domain

    Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai

  • Just Noticeable Difference for Images With Decomposition Model for Separating Edge and Textured Regions

    Anmin Liu;Weisi Lin;M Paul;Chenwei Deng

  • Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation

    Zhongkang Lu;W. Lin;X. Yang;EePing Ong

  • No-Reference Quality Assessment of Screen Content Pictures

    Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai

Frequent Co-Authors

Yuming Fang
Yuming Fang Jiangxi University of Finance and Economics
Ke Gu
Ke Gu Beijing University of Technology
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Jinjian Wu
Jinjian Wu Xidian University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Guangming Shi
Guangming Shi Xidian University
Feng Shao
Feng Shao Ningbo University
Bu-Sung Lee
Bu-Sung Lee Nanyang Technological University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a Computer Science degree in the USA opens doors to a range of related fields that offer similar flexibility and career opportunities. Many students explore mechanical engineering degree online cost to find affordable options in this competitive and in-demand branch of engineering.

Physics is another popular choice, especially for those interested in the theoretical foundations that intersect with computer science topics like algorithms and machine learning. There are a growing number of online physics degrees designed to be flexible and budget-friendly for working adults or international students.

Tech-savvy learners may also consider the data science learning path to acquire skills in big data, analytics, and artificial intelligence—careers that are closely connected to computer science and are in high demand across industries.

Those interested in hardware, robotics, or energy systems can review online electrical engineering career outcomes to discover the diverse roles and earning potential available to graduates.

Best Scientists Citing Weisi Lin

Trending Scientists