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Computer Science

D-Index
62
Citations
23538
World Ranking
2837
National Ranking
165

Research.com Recognitions

  • 2016 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision in the fields of sign language, gesture and activity recognition and service to IAPR

Overview

Richard Bowden is affiliated with the University of Surrey in the United Kingdom and specializes in computer science with a strong focus on computer vision and pattern recognition. Their work encompasses a variety of subfields including human-computer interaction, developmental and educational psychology, artificial intelligence, and control and systems engineering.

Their research mainly addresses topics related to hand gesture recognition systems, human pose and action recognition, and hearing impairment and communication. Other areas of their expertise include advanced vision and imaging, multimodal machine learning applications, robotics and sensor-based localization, and autonomous vehicle technology and safety.

Recent publications by Richard Bowden include:

  • Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks, 2020, International Journal of Computer Vision
  • D'ya Like DAGs? A Survey on Structure Learning and Causal Discovery, 2022, ACM Computing Surveys
  • Translating Images into Maps, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks, 2021, International Journal of Computer Vision
  • A Survey of Deep Learning Applications to Autonomous Vehicle Control, 2020, IEEE Transactions on Intelligent Transportation Systems

Frequent coauthors include:

  • Necati Cihan Camgöz
  • Oscar Méndez
  • Ben Saunders
  • Simon Hadfield
  • Chris Russell

Richard Bowden has contributed extensively to venues such as arXiv (Cornell University), with 64 publications, as well as the 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021), Zurich Open Repository and Archive (University of Zurich), 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), and International Journal of Computer Vision.

In recognition of their work, Richard Bowden was awarded the status of Fellow of the International Association for Pattern Recognition (IAPR) in 2016 for contributions to computer vision in sign language, gesture and activity recognition, and service to IAPR.

Best Publications

  • An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection

    P. KaewTraKulPong;P. KaewTraKulPong;R. Bowden

  • 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

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • The Visual Object Tracking VOT2013 Challenge Results

    Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

  • A Survey of Deep Learning Applications to Autonomous Vehicle Control

    Sampo Kuutti;Richard Bowden;Yaochu Jin;Phil Barber

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Neural Sign Language Translation

    Necati Cihan Camgoz;Simon Hadfield;Oscar Koller;Hermann Ney

  • Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation

    Necati Cihan Camgoz;Oscar Koller;Simon Hadfield;Richard Bowden

  • Spelling it out: Real-time ASL fingerspelling recognition

    Nicolas Pugeault;Richard Bowden

  • Local binary patterns for multi-view facial expression recognition

    S. Moore;R. Bowden

  • The Visual Object Tracking VOT2014 challenge results

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

  • SubUNets: End-to-End Hand Shape and Continuous Sign Language Recognition

    Necati Cihan Camgoz;Simon Hadfield;Oscar Koller;Richard Bowden

  • A boosted classifier tree for hand shape detection

    Eng-Jon Ong;R. Bowden

  • Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data is Continuous and Weakly Labelled

    Oscar Koller;Hermann Ney;Richard Bowden

  • Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos

    Oscar Koller;Necati Cihan Camgoz;Hermann Ney;Richard Bowden

  • Sign Language Recognition

    Helen Cooper;Brian Holt;Richard Bowden

  • Deep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition

    Oscar Tobias Anatol Koller;Sepehr Zargaran;Hermann Ney;Richard Bowden

  • Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks.

    Stephanie Stoll;Necati Cihan Camgoz;Simon Hadfield;Richard Bowden

  • A Linguistic Feature Vector for the Visual Interpretation of Sign Language

    Richard Bowden;Richard Bowden;David Windridge;Timor Kadir;Andrew Zisserman

  • Action Recognition Using Mined Hierarchical Compound Features

    A Gilbert;J Illingworth;R Bowden

Frequent Co-Authors

Hermann Ney
Hermann Ney RWTH Aachen University
Jiri Matas
Jiri Matas Czech Technical University in Prague
John Illingworth
John Illingworth University of Surrey
Michael Felsberg
Michael Felsberg Linköping University
Matej Kristan
Matej Kristan University of Ljubljana
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Fahad Shahbaz Khan
Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence
Ales Leonardis
Ales Leonardis University of Birmingham
Philip H. S. Torr
Philip H. S. Torr University of Oxford

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