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

D-Index & Metrics

Computer Science

D-Index
89
Citations
52078
World Ranking
631
National Ranking
6

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
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award

Overview

Fahad Shahbaz Khan is affiliated with the Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. Their research portfolio centers primarily on areas within computer science, with extensive contributions to computer vision and pattern recognition, artificial intelligence, media technology, radiology, nuclear medicine and imaging, as well as molecular biology.

The scientist's recent work includes publications spanning topics such as image restoration, medical imaging, and vision transformers. Notable papers include Restormer: Efficient Transformer for High-Resolution Image Restoration (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition), Transformers in medical imaging: A survey (2023, Medical Image Analysis), Learning Enriched Features for Fast Image Restoration and Enhancement (2022, IEEE Transactions on Pattern Analysis and Machine Intelligence), Intriguing Properties of Vision Transformers (2021, arXiv (Cornell University)), and Transformers in Remote Sensing: A Survey (2023, Remote Sensing).

Their collaborative network features frequent coauthors such as Salman Khan, Rao Muhammad Anwer, Hisham Cholakkal, and Muzammal Naseer. These collaborations have led to a significant number of joint publications contributing to the fields of vision and artificial intelligence research.

Fahad Shahbaz Khan regularly publishes in several venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence

The core subfields of study pursued consist of:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology

Their research frequently addresses main topics such as:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Processing Techniques
  • Human Pose and Action Recognition

Fahad Shahbaz Khan's work contributes to multiple facets of artificial intelligence and computer vision research and explores both theoretical frameworks and applied methodologies. The scientist's research presence is marked by a substantial number of publications and involvement in high-impact conferences and journals in their fields of study.

Best Publications

  • Restormer: Efficient Transformer for High-Resolution Image Restoration

    Unknown

  • ECO: Efficient Convolution Operators for Tracking

    Martin Danelljan;Goutam Bhat;Fahad Shahbaz Khan;Michael Felsberg

  • Accurate scale estimation for robust visual tracking

    Martin Danelljan;Gustav Häger;Fahad Shahbaz Khan;Michael Felsberg

  • Learning Spatially Regularized Correlation Filters for Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking

    Martin Danelljan;Andreas Robinson;Fahad Shahbaz Khan;Michael Felsberg

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • Adaptive Color Attributes for Real-Time Visual Tracking

    Martin Danelljan;Fahad Shahbaz Khan;Michael Felsberg;Joost van de Weijer

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Multi-Stage Progressive Image Restoration

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

  • Discriminative Scale Space Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • ATOM: Accurate Tracking by Overlap Maximization

    Martin Danelljan;Goutam Bhat;Fahad Shahbaz Khan;Michael Felsberg

  • Transformers in Medical Imaging: A Survey

    Unknown

  • Convolutional Features for Correlation Filter Based Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • Learning Enriched Features for Real Image Restoration and Enhancement

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

  • Learning Enriched Features for Fast Image Restoration and Enhancement

    Unknown

  • MaPLe: Multi-modal Prompt Learning

    Unknown

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Towards Open World Object Detection

    K J Joseph;Salman Khan;Fahad Shahbaz Khan;Vineeth N Balasubramanian

  • Unveiling the Power of Deep Tracking

    Goutam Bhat;Joakim Johnander;Martin Danelljan;Fahad Shahbaz Khan

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking

    Martin Danelljan;Gustav Hager;Fahad Shahbaz Khan;Michael Felsberg

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Color attributes for object detection

    Fahad Shahbaz Khan;Rao Muhammad Anwer;Joost van de Weijer;Andrew D. Bagdanov

Frequent Co-Authors

Michael Felsberg
Michael Felsberg Linköping University
Ling Shao
Ling Shao Terminus International
Joost van de Weijer
Joost van de Weijer Autonomous University of Barcelona
Munawar Hayat
Munawar Hayat Monash University
Yanwei Pang
Yanwei Pang Tianjin University
Jorma Laaksonen
Jorma Laaksonen Aalto University
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Fatih Porikli
Fatih Porikli Australian National University
Mubarak Shah
Mubarak Shah University of Central Florida

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