17 citations · 62 across the 6 of their papers we have counts for
8 papers
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
Francesco Banterle, Demetris Marnerides, Kurt Debattista +1
Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods…
Deep HDR Hallucination for Inverse Tone Mapping
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas m…
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.…