World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
12197
World Ranking
6368
National Ranking
85

Overview

Stefan Winkler is affiliated with the National University of Singapore and has a research focus primarily in Computer Science. Their work covers several subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Experimental and Cognitive Psychology, and Radiology, Nuclear Medicine and Imaging.

The scientist's research topics encompass:

  • Topic Modeling
  • Digital Imaging for Blood Diseases
  • Emotion and Mood Recognition
  • GNSS positioning and interference
  • AI in cancer detection
  • Generative Adversarial Networks and Image Synthesis
  • Natural Language Processing Techniques

Recent publications illustrate the range of Stefan Winkler's research interests and contributions. These include:

  • From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film (2023, Blood Reviews)
  • Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach (2022, Schizophrenia)
  • Artificial Intelligence-Generated Facial Images for Medical Education (2023, Medical Science Educator)
  • Morphset: Augmenting categorical emotion datasets with dimensional affect labels using face morphing (2021, arXiv [Cornell University])
  • Artificial intelligence in peripheral blood films: an evolving landscape (2022, The Lancet Haematology)

The scientist frequently collaborates with colleagues such as Viktor Schlegel, Thanh-Tung Nguyen, Bingwen Eugene Fan, Abhinav Ramesh Kashyap, and Ponnudurai Kuperan.

Publication venues where Stefan Winkler has disseminated their research include:

  • arXiv (Cornell University)
  • Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
  • American Journal of Hematology
  • The Lancet Haematology
  • Proceedings of the AAAI Conference on Artificial Intelligence

The scientist's output in Computer Science totals 47 publications, with 28 specifically in Artificial Intelligence and 18 in Computer Vision and Pattern Recognition. They have also contributed notably to Aerospace Engineering with 11 publications, alongside works in Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging.

Best Publications

  • A no-reference perceptual blur metric

    P. Marziliano;F. Dufaux;S. Winkler;T. Ebrahimi

  • The Evolution of Video Quality Measurement: From PSNR to Hybrid Metrics

    S. Winkler;P. Mohandas

  • Digital Video Quality: Vision Models and Metrics

    Stefan Winkler

  • A data-driven approach to cleaning large face datasets

    Hong-Wei Ng;Stefan Winkler

  • Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning

    Hong-Wei Ng;Viet Dung Nguyen;Vassilios Vonikakis;Stefan Winkler

  • Perceptual Blur and Ringing Metrics: Application to JPEG2000

    Pina Marziliano;Frederic Dufaux;Stefan Winkler;Touradj Ebrahimi

  • Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives

    Robert C. Streijl;Stefan Winkler;David S. Hands

  • ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors

    Ramanathan Subramanian;Julia Wache;Mojtaba Khomami Abadi;Radu L. Vieriu

  • Perceptual distortion metric for digital color video.

    Stefan Winkler

  • COVERAGE — A novel database for copy-move forgery detection

    Bihan Wen;Ye Zhu;Ramanathan Subramanian;Tian-Tsong Ng

  • Analysis of Public Image and Video Databases for Quality Assessment

    S. Winkler

  • Issues in vision modeling for perceptual video quality assessment

    Stefan Winkler

  • A vision-based masking model for spread-spectrum image watermarking

    M. Kutter;S. Winkler

  • Video Quality Experts Group: Current results and future directions

    Ann Marie Rohaly;Philip J. Corriveau;John M. Libert;Arthur A. Webster

  • Vision-model-based impairment metric to evaluate blocking artifacts in digital video

    Zhenghua Yu;Hong Ren Wu;S. Winkler;Tao Chen

  • Vision models and quality metrics for image processing applications

    Stefan Winkler

  • Image complexity and spatial information

    Honghai Yu;Stefan Winkler

  • Color image quality on the Internet

    Sabine E. Susstrunk;Stefan Winkler

  • Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras

    Soumyabrata Dev;Yee Hui Lee;Stefan Winkler

  • A Data-Driven Approach for Accurate Rainfall Prediction

    Shilpa Manandhar;Soumyabrata Dev;Yee Hui Lee;Yu Song Meng

  • Video quality measurement standards — Current status and trends

    Stefan Winkler

Frequent Co-Authors

Nicu Sebe
Nicu Sebe University of Trento
Bingbing Ni
Bingbing Ni Shanghai Jiao Tong University
Ashraf A. Kassim
Ashraf A. Kassim National University of Singapore
Le Zhang
Le Zhang University of Electronic Science and Technology of China
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Vijay Chandrasekhar
Vijay Chandrasekhar Agency for Science, Technology and Research
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne
Frederic Dufaux
Frederic Dufaux CentraleSupélec
Touradj Ebrahimi
Touradj Ebrahimi École Polytechnique Fédérale de Lausanne

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