Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …

Outfits in online fashion data are composed of items of many different types (eg top, bottom,
shoes) that share some stylistic relationship with one another. A representation for building …

What is the future of fashion? Tackling this question from a data-driven vision perspective,
we propose to forecast visual style trends before they occur. We introduce the first approach …

This paper introduces the research field of Image Sentiment Analysis, analyses the related
problems, provides an in-depth overview of current research progress, discusses the major …

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 …

Distinguishing subtle differences in attributes is valuable, yet learning to make visual
comparisons remains nontrivial. Not only is the number of possible comparisons quadratic in …

Given a food image, can a fine-grained object recognition engine tell" which restaurant
which dish" the food belongs to? Such ultra-fine grained image recognition is the key for …

We present a generative attribute controller (GAC), a novel functionality for generating or
editing an image while intuitively controlling large variations of an attribute. This controller is …

The modeling of distracted driving behavior has been studied for many years, however,
there remain many distraction phenomena that can not be fully modeled. This study …

Material attribute recognition from the visual appearance of attributes is an important
problem in computer vision field. However, few works model the hierarchical relationship …