Browsing Electrical and Electronic Engineering (Conference Papers) by Author "Bazrafkan, Shabab"

Now showing items 1-4 of 4

    • The application of deep learning on depth from multi-array camera 

      Javidnia, Hossein; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2018-01-02)
      Consumer-level multi-array cameras are a key enabling technology for next generation smartphones imaging systems. The present paper aims to analyze the accuracy of the depth estimation while using different camera combinations ...

    • 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 ...

    • Deep learning for hand segmentation in complex backgrounds 

      Ungureanu, Adrian-Stefan; Bazrafkan, Shabab; Corcoran, Peter (Institute of Electrical and Electronics Engineers, 2018-01-02)
      This paper presents a Deep Learning segmentation approach for hand segmentation in gray level images with cluttered backgrounds where standard techniques cannot be used. Two networks were trained with a database of hand ...

    • 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 ...