Visual emotion recognition aims to associate images with appropriate emotions. There are
different visual stimuli that can affect human emotion from low-level to high-level, such as …

Visual emotion classification is predicting emotional reactions of people for the given visual
content. Psychological studies show that human emotions are affected by various visual …

Analyzing emotional information of visual content has attracted growing attention for the
tendency of internet users to share their feelings via images and videos online. In this paper …

Image emotion recognition aims to automatically categorize the emotion conveyed by an
image. The potential of deep representation has been demonstrated in recent research on …

Although much progress has been made in visual emotion recognition, researchers have
realized that modern deep networks tend to exploit dataset characteristics to learn spurious …

Psychological research results have confirmed that people can have different emotional
reactions to different visual stimuli. Several papers have been published on the problem of …

Image emotion is the emotion hidden in or passed by a particular image. In this paper, a
novel convolutional neural network is proposed to predict the emotion from an image. The …

This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th
Affective Behavior Analysis in-the-wild (ABAW) competition. We explore the research …

With the increasing number of users express their emotions via images on social media,
image emotion recognition attracts much attention of researchers. Different from …

░ ABSTRACT-Facial emotion recognition has been very popular area for researchers in last
few decades and it is found to be very challenging and complex task due to large intra-class …