Image captioning, also called report generation in medical field, aims to describe visual
content of images in human language, which requires to model semantic relationship …

As a de facto solution, the vanilla Vision Transformers (ViTs) are encouraged to model long-
range dependencies between arbitrary image patches while the global attended receptive …

Capturing images has been increasingly popular in recent years, owing to the widespread
availability of cameras. Images are essential in our daily lives because they contain a wealth …

In recent years, Transformer structures have been widely applied in image captioning with
impressive performance. However, previous works often neglect the geometry and position …

This article studies the multimedia problem of temporal sentence grounding (TSG), which
aims to accurately determine the specific video segment in an untrimmed video according to …

Medical report generation generates the corresponding report according to the given
radiology image, which has been attracting increasing research interest. However, existing …

Attention mechanisms have been extensively adopted in vision and language tasks such as
image captioning. It encourages a captioning model to dynamically ground appropriate …

Automatic caption generation with attention mechanisms aims at generating more
descriptive captions containing coarser to finer semantic contents in the image. In this work …

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 …

Image-text retrieval (ITR) is a challenging task in the field of multimodal information
processing due to the semantic gap between different modalities. In recent years …