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

Image captioning means automatically generating a caption for an image. As a recently
emerged research area, it is attracting more and more attention. To achieve the goal of …

We propose Visual News Captioner, an entity-aware model for the task of news image
captioning. We also introduce Visual News, a large-scale benchmark consisting of more …

Current image captioning systems perform at a merely descriptive level, essentially
enumerating the objects in the scene and their relations. Humans, on the contrary, interpret …

With the emergence of deep learning, computer vision has witnessed extensive
advancement and has seen immense applications in multiple domains. Specifically, image …

We propose an end-to-end model which generates captions for images embedded in news
articles. News images present two key challenges: they rely on real-world knowledge …

Image-text matching by deep models has recently made remarkable achievements in many
tasks, such as image caption and image search. A major challenge of matching the image …

We present an image captioning framework that generates captions under a given topic. The
topic candidates are extracted from the caption corpus. A given image's topics are then …

Image and sentence matching has attracted increasing attention since it is associated with
two important modalities of vision and language. Previous methods aim to find the latent …

Topic modelling (TM) has shown significant progress in boosting the effectiveness of image
captioning in the last few years. Although important improvements have been shown in …