17 citations · 80 across the 13 of their papers we have counts for
5 papers · 1 filter
Deep Controllable Backlight Dimming
Lvyin Duan, Demetris Marnerides, Alan Chalmers +2
Dual-panel displays require local dimming algorithms in order to reproduce content with high fidelity and high dynamic range. In this work, a novel deep learning based local dimmin…
Spectrally Consistent UNet for High Fidelity Image Transformations
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
Convolutional Neural Networks (CNNs) are the current de-facto models used for many imaging tasks due to their high learning capacity as well as their architectural qualities. The u…
Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers +4
Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which…
Visuohaptic augmented feedback for enhancing motor skills acquisition
Ali Asadipour, Kurt Debattista, Alan Chalmers
Serious games are accepted as an effective approach to deliver augmented feedback in motor (re-) learning processes. The multi-modal nature of the conventional computer games (e.g.…
A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
A. Asadipour, K. Debattista, V. Patel +1
Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in perfo…