Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-
related research has significantly increased in computer vision, natural language …

Natural language problems have already been investigated for around five years. Recent
progress in artificial intelligence (AI) has greatly improved the performance of models …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Abstract Human-Object Interaction (HOI) detection is important in human-centric scene
understanding. Existing works typically assume that the same verb in different HOI …

Generating textual descriptions of images has been an important topic in computer vision
and natural language processing. A number of techniques based on deep learning have …

Scene graph aims to faithfully reveal humans' perception of image content. When humans
analyze a scene, they usually prefer to describe image gist first, namely major objects and …

Image captioning is a difficult problem for machine learning algorithms to compress huge
amounts of images into descriptive languages. The recurrent models are popularly used as …

Can deep learning models achieve greater generalization if their training is guided by
reference to human perceptual abilities? And how can we implement this in a practical …

Subjectivity analysis is one of the key tasks in the field of natural language processing. Used
to annotate data as subjective or objective, subjectivity analysis can be implemented on its …

While attention has been an increasingly popular component in deep neural networks to
both interpret and boost performance of models, little work has examined how attention …