Image captioning is a research area of immense importance, aiming to generate natural
language descriptions for visual content in the form of still images. The advent of deep …

Image captioning is the task of automatically generating sentences that describe an input
image in the best way possible. The most successful techniques for automatically generating …

Attention mechanisms are now widely used in image captioning models. However, most
attention models only focus on visual features. When generating syntax related words, little …

Dense video captioning aims to generate text descriptions for all events in an untrimmed
video. This involves both detecting and describing events. Therefore, all previous methods …

As more non-AI experts use complex AI systems for daily tasks, there has been an
increasing effort to develop methods that produce explanations of AI decision making that …

The potential for agents, whether embodied or software, to learn by observing other agents
performing procedures involving objects and actions is rich. Current research on automatic …

Recently, much advance has been made in image captioning, and an encoder-decoder
framework has been adopted by all the state-of-the-art models. Under this framework, an …

Chinese image description generation tasks usually have some challenges, such as single-
feature extraction, lack of global information, and lack of detailed description of the image …

In recent years, artificial intelligence technology represented by deep learning has achieved
remarkable results in image recognition, semantic analysis, natural language processing …

Video description is one of the most challenging problems in vision and language
understanding due to the large variability both on the video and language side. Models …