• ACCURATE AND RESOURCE-EFFICIENT LIPREADING WITH EFFICIENTNETV2 AND TRANSFORMERS 

      Koumparoulis A., Potamianos G. (2022)
      We present a novel resource-efficient end-to-end architecture for lipreading that achieves state-of-the-art results on a popular and challenging benchmark. In particular, we make the following contributions: First, inspired ...
    • Deep View2View Mapping for View-Invariant Lipreading 

      Koumparoulis A., Potamianos G. (2019)
      Recently, visual-only and audio-visual speech recognition have made significant progress thanks to deep-learning based, trainable visual front-ends (VFEs), with most research focusing on frontal or near-frontal face videos. ...
    • Exploring ROI size in deep learning based lipreading 

      Koumparoulis A., Potamianos G., Mroueh Y., Rennie S.J. (2017)
      Automatic speechreading systems have increasingly exploited deep learning advances, resulting in dramatic gains over traditional methods. State-of-the-art systems typically employ convolutional neural networks (CNNs), ...