Recent Submissions

  • Latent space mapping for generation of object elements with corresponding data annotation 

    Bazrafkan, Shabab; Javidnia, Hossein; Corcoran, Peter (Elsevier, 2018-10-25)
    Deep neural generative models such as Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) give promising results in estimating the data distribution across a range of machine learning fields of ...
  • Iris recognition on consumer devices - challenges and progress 

    Thavalengal, Shejin; Corcoran, Peter (IEEE, 2015-11-11)
    This article outlines various technical, social and ethical challenges in implementing and widely adopting iris recognition technology on consumer devices such as smartphone or tablets. Acquisition of sufficient quality ...
  • An investigation of the variation of dielectric properties of ovine lung tissue with temperature 

    Bonello, Julian; Elahi, Muhammad Adnan; Porter, Emily; O'Halloran, Martin; Farrugia, Lourdes; Sammut, Charles V. (IOP Publishing, 2019-06-24)
    Presently, lung cancer is the leading cause of cancer deaths. Microwave thermal ablation is commonly used for the treatment of lung cancer. During microwave ablation treatment, changing temperatures (up to 100 °C) cause ...
  • High-accuracy facial depth models derived from 3D synthetic data 

    Khan, Faisal; Basak, Shubhajit; Javidnia, Hossein; Schukat, Michael; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
    In this paper, we explore how synthetically generated 3D face models can be used to construct a high-accuracy ground truth for depth. This allows us to train the Convolutional Neural Networks (CNN) to solve facial depth ...
  • Generative Augmented Dataset and Annotation Frameworks for Artificial Intelligence (GADAFAI) 

    Corcoran, Peter; Javidnia, Hossein; Lemley, Joseph E.; Varkarakis, Viktor (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
    Recent Advances in Artificial Intelligence (AI), particularly in the field of compute vision, have been driven by the availability of large public datasets. However, as AI begins to move into embedded devices there will ...
  • A novel machine learning based method for deepfake video detection in social media 

    Mitra, Alakananda; Mohanty, Saraju P.; Corcoran, Peter; Kougianos, Elias (Institute of Electrical and Electronics Engineers (IEEE), 2021-05-12)
    With the advent of deepfake videos, video forgery has become a serious threat. Videos in social media are the most common and serious targets. There are some existing works for detecting deepfake videos but very few attempts ...
  • Accurate 2D facial depth models derived from a 3D synthetic dataset 

    Khan, Faisal; Basak, Shubhajit; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2021-05-13)
    As Consumer Technologies (CT) seeks to engage and interact more closely with the end-user it becomes important to observe and analyze a user’s interaction with CT devices and associated services. One of the most useful ...
  • Infrared imaging for human thermography and breast tumor classification using thermal images 

    Farooq, Muhammad Ali; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
    Human thermography is considered to be an integral medical diagnostic tool for detecting heat patterns and measuring quantitative temperature data of the human body. It can be used in conjunction with other medical diagnostic ...
  • Re-training StyleGAN-A first step towards building large, scalable synthetic facial datasets 

    Varkarakis, Viktor; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-08-31)
    StyleGAN is a state-of-art generative adversarial network architecture that generates random 2D high-quality synthetic facial data samples. In this paper we recap the StyleGAN architecture and training methodology and ...
  • Generating thermal image data samples using 3D facial modelling techniques and deep learning methodologies 

    Farooq, Muhammad Ali; Corcoran, Peter (Institute of Electrical and Electronics Engineers (IEEE), 2020-05-26)
    Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. ...
  • Proof-of-concept techniques for generating synthetic thermal facial data for training of deep learning models 

    Farooq, Muhammad Ali; Corcoran, Peter (National University of Ireland Galway, 2021-01-10)
    Thermal imaging has played a dynamic role in the diversified field of consumer technology applications. To build artificially intelligent thermal imaging systems, large scale thermal datasets are required for successful ...
  • Microwave bone imaging: experimental evaluation of calcaneus bone phantom and imaging prototype 

    Amin, Bilal; Sheridan, Colin; Kelly, Daniel; O'Halloran, Martin; Elahi, Muhammad Adnan (Institute of Electrical and Electronics Engineers, 2020-12-14)
    Microwave imaging (MWI) can be used as an alternate imaging modality for monitoring bone health. Evaluation and characterization of MWI prototype is a precursor step before in vivo investigation of bone dielectric ...
  • A feasibility study on microwave imaging of bone for osteoporosis monitoring 

    Amin, Bilal; Shahzad, Atif; Crocco, Lorenzo; Wang, Mengchu; O'Halloran, Martin; González-Suárez, Ana; Elahi, Muhammad Adnan (Springer, 2021-03-30)
    The dielectric properties of bones are found to be influenced by the demineralisation of bones. Therefore, microwave imaging (MWI) can be used to monitor in vivo dielectric properties of human bones and hence aid in the ...
  • IEEE POCO 2015 brings fun and education to Glasgow [Conference Reports] 

    Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2015-12-11)
    [No abstract available]
  • In-camera person-indexing of digital images 

    Costache, G.; Mulryan, R.; Steinberg, E.; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2006-01-07)
    A prototype implementation of an automatic in-camera cataloging tool is presented. An external infrastructure to store and analyze images and support the in-camera cataloging tool is also described.
  • Iris liveness detection for next generation smartphones 

    Thavalengal, Shejin; Nedelcu, Tudor; Bigioi, Petronel; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2016-07-19)
    This paper presents a novel liveness detection method that exploits the acquisition workflow for iris biometrics on smartphones using a hybrid visible (RGB)/near infra-red (NIR) sensor. These devices are able to capture ...
  • Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods 

    Bazrafkan, Shabab; Nedelcu, Tudor; Filipczuk, Pawel; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2017-01-08)
    By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the ...
  • Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms 

    Javidnia, Hossein; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2017-01-08)
    The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk ...
  • Gaze Visual - A graphical software tool for performance evaluation of eye gaze estimation systems 

    Kar, Anuradha; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2018-08-15)
    The concept of an open source software developed for all round performance evaluation of gaze tracking systems is presented. The capabilities of this software towards quantitative, statistical and visual analysis of gaze ...
  • A review of resolution losses for AR/VR foveated imaging applications 

    Cognard, Timothee E.; Goncharov, Alexander; Devaney, Nicholas; Dainty, Chris; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2018-08-15)
    Foveated imaging is of great interest for Augmented and Virtual Reality applications. The resolution losses off-axis simulated in foveated imaging are modelled using cone density on the retina. This article reviews the ...

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