Automatically describing an image with a sentence is a long-standing challenge in computer
vision and natural language processing. Due to recent progress in object detection, attribute …

Recently, there has been a lot of interest in automatically generating descriptions for an
image. Most existing language-model based approaches for this task learn to generate an …

To bridge the gap between humans and machines in image understanding and describing,
we need further insight into how people describe a perceived scene. In this paper, we study …

This paper presents a novel approach for automatically generating image descriptions:
visual detectors, language models, and multimodal similarity models learnt directly from a …

We present an image caption system that addresses new challenges of automatically
describing images in the wild. The challenges include generating high quality caption with …

The problem of describing images through natural language has gained importance in the
computer vision community. Solutions to image description have either focused on a top …

We propose a method that can generate an unambiguous description (known as a referring
expression) of a specific object or region in an image, and which can also comprehend or …

In recent years, the task of automatically generating image description has attracted a lot of
attention in the field of artificial intelligence. Benefitting from the development of …

Generating descriptions for videos has many applications including assisting blind people
and human-robot interaction. The recent advances in image captioning as well as the …

The ability to associate images with natural language sentences that describe what is
depicted in them is a hallmark of image understanding, and a prerequisite for applications …