Comparative settings (eg. pairwise choice, listwise ranking) have been adopted by a wide
range of subjective studies for image quality assessment (IQA), as it inherently standardizes …

We propose a novel zero-shot document ranking approach based on Large Language
Models (LLMs): the Setwise prompting approach. Our approach complements existing …

Display power consumption is an emerging concern for untethered devices. This goes
double for augmented and virtual extended reality (XR) displays, which target high refresh …

Year after year, the demand for ever-better smartphone photos continues to grow, in
particular in the domain of portrait photography. Manufacturers thus use perceptual quality …

Abstract Pairwise Ranking Prompting (PRP) demonstrates impressive effectiveness in zero-
shot document re-ranking tasks with large language models (LLMs). However, in the …

When the rendering budget is limited by power or time, it is necessary to find the
combination of rendering parameters, such as resolution and refresh rate, that could deliver …

As the problem of reconstructing high dynamic range (HDR) images from a single exposure
has attracted much research effort, it is essential to provide a robust protocol and clear …

Color quantization (cq), the reduction of the number of distinct colors in a given image with
minimal distortion, is a common image processing operation with various applications in …

Limited GPU performance budgets and transmission bandwidths mean that real-time
rendering often has to compromise on the spatial resolution or temporal resolution (refresh …

Perioperative risk assessment (PRA) aims to evaluate the risk to patients from surgery, and
knowing the risk can contribute to allocating scarce medical resources. Despite the clinical …