Learning computational models of image aesthetics can have a substantial impact on visual
art and graphic design. Although automatic image aesthetics assessment is a challenging …

Uncertainty is the only certainty there is. Modeling data uncertainty is essential for
regression, especially in unconstrained settings. Traditionally the direct regression …

Promotional videos are rapidly becoming a popular medium for persuading people to
change their behaviours in many settings (eg, online shop**, social enterprise initiatives) …

This paper presents a language-powered paradigm for ordinal regression. Existing methods
usually treat each rank as a category and employ a set of weights to learn these concepts …

Due to the widespread popularity of social media, researchers have developed a strong
interest in learning the personalized image aesthetics of online users. Personalized image …

Abstract Image Aesthetic Quality Assessment (IAQA) spans applications such as the fashion
industry, AI-generated content, product design, and e-commerce. Recent deep learning …

Personalized image aesthetics assessment (PIAA) has gained increasing attention from
researchers due to its ability to measure individual users' specific aesthetic experiences …

Personalized image aesthetics assessment (PIAA) is aimed at modeling the unique
aesthetic preferences of individuals, based on which personalized aesthetic scores are …

Ordinal regression refers to classifying object instances into ordinal categories. It has been
widely studied in many scenarios, such as medical disease grading and movie rating …

Longitudinal studies, where a series of images from the same set of individuals are acquired
at different time-points, represent a popular technique for studying and characterizing …