World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
107
Citations
75819
World Ranking
261
National Ranking
14

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2006 - IAPR King-Sun Fu Prize
  • 2002 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2000 - Fellow of the Royal Academy of Engineering (UK)
  • 1998 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision and pattern recognition, and for outstanding leadership in IAPR

Overview

Josef Kittler is affiliated with the University of Surrey in the United Kingdom. Their research spans several fields within computer science and engineering, focusing predominantly on computer vision and pattern recognition.

Their recent publications include the following works:

  • "RFN-Nest: An end-to-end residual fusion network for infrared and visible images" (2021) published in Information Fusion
  • "MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion" (2020) published in IEEE Transactions on Image Processing
  • "LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images" (2023) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification" (2022) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Exploiting Deep Learning in Limited-Fronthaul Cell-Free Massive MIMO Uplink" (2020) published in IEEE Journal on Selected Areas in Communications

Their frequent coauthors include:

  • Xiao-Jun Wu
  • Tianyang Xu
  • Zhenhua Feng
  • Muhammad Awais
  • Hui Li

The scientists have published extensively in these venues:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Information Fusion
  • International Journal of Computer Vision
  • Neural Networks

Kittler's main fields of study are:

  • Computer Science
  • Engineering

Their research subfields include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Biomedical Engineering
  • Aerospace Engineering

Main topics covered in their work are:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Face and Expression Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Image Fusion Techniques
  • Multimodal Machine Learning Applications
  • Remote-Sensing Image Classification

Josef Kittler has received multiple awards, including:

  • IAPR King-Sun Fu Prize (2006)
  • Distinguished Fellow of the British Machine Vision Association (BMVA) (2002)
  • Fellow of the Royal Academy of Engineering (UK) (2000)
  • Fellow of the International Association for Pattern Recognition (IAPR) (1998) for contributions to computer vision and pattern recognition and outstanding leadership in IAPR

Best Publications

  • On combining classifiers

    J. Kittler;M. Hatef;R.P.W. Duin;J. Matas

  • Pattern recognition : a statistical approach

    Pierre A. Devijver;Josef Kittler

  • Floating search methods in feature selection

    P. Pudil;J. Novovičová;J. Kittler

  • A survey of the Hough transform

    J. Illingworth;J. Kittler

  • Minimum error thresholding

    J. Kittler;J. Illingworth

  • XM2VTSDB: The Extended M2VTS Database

    K. Messer;J. Matas;J. Kittler;Juergen Luettin

  • Advances in Cryptology – CRYPTO 2004

    Matt Franklin

  • Comparative study of Hough transform methods for circle finding

    H. K. Yuen;J. Princen;J. Illingworth;J. Kittler

  • Multiple Classifier Systems

    Nikunj C. Oza;Robi. Polikar;Josef. Kittler;Fabio. Roli

  • Locally Optimized RANSAC

    Ondřej Chum;Jiří Matas;Jiří Matas;Josef Kittler

  • RFN-Nest: An end-to-end residual fusion network for infrared and visible images

    Hui Li;Xiao-Jun Wu;Josef Kittler

  • The Adaptive Hough Transform

    J. Illingworth;J. Kittler

  • Robust Detection of Lines Using the Progressive Probabilistic Hough Transform

    J. Matas;C. Galambos;J. Kittler

  • Region growing: a new approach

    S.A. Hojjatoleslami;J. Kittler

  • Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations

    Tae-Kyun Kim;J. Kittler;R. Cipolla

  • Structural matching in computer vision using probabilistic relaxation

    W.J. Christmas;J. Kittler;M. Petrou

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • The BANCA database and evaluation protocol

    Enrique Bailly-Bailliére;Samy Bengio;Frédéric Bimbot;Miroslav Hamouz

  • Efficient and Robust Retrieval by Shape Content through Curvature Scale Space.

    Farzin Mokhtarian;Sadegh Abbasi;Josef Kittler

  • MDLatLRR: A Novel Decomposition Method for Infrared and Visible Image Fusion

    Hui Li;Xiao-Jun Wu;Josef Kittler

  • Combining classifiers

    J. Kittler;M. Hater;R.P.W. Duin

Frequent Co-Authors

Maria Petrou
Maria Petrou Imperial College London
Jiri Matas
Jiri Matas Czech Technical University in Prague
Norman Poh
Norman Poh University of Surrey
John Illingworth
John Illingworth University of Surrey
Takeo Kanade
Takeo Kanade Carnegie Mellon University
David Hutchison
David Hutchison Lancaster University
Krystian Mikolajczyk
Krystian Mikolajczyk Imperial College London
Majid Mirmehdi
Majid Mirmehdi University of Bristol
Fabio Roli
Fabio Roli University of Genoa
Wenwu Wang
Wenwu Wang University of Surrey

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