Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

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 …

Deep learning revolutionized data science, and recently its popularity has grown
exponentially, as did the amount of papers employing deep networks. Vision tasks, such as …

Automatic saliency prediction in 360 videos is critical for viewpoint guidance applications
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …

Computing author intent from multimodal data like Instagram posts requires modeling a
complex relationship between text and image. For example, a caption might evoke an ironic …

Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions online. In this paper, we solve the …

Machine learning (ML) is now widespread. Traditional software engineering can be applied
to the development ML applications. However, we have to consider specific problems with …

Each smile is unique: one person surely smiles in different ways (eg, closing/opening the
eyes or mouth). Given one input image of a neutral face, can we generate multiple smile …

In this work, we aim to investigate the practical task of flexible fashion search with attribute
manipulation, where users can retrieve the target fashion items by replacing the unwanted …

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 …