Artificial neural networks (ANNs) have achieved significant success in tackling classical and
modern machine learning problems. As learning problems grow in scale and complexity …

Video captioning refers to automatic generate natural language sentences, which
summarize the video contents. Inspired by the visual attention mechanism of human beings …

Recent progress has been made in using attention based encoder-decoder framework for
image and video captioning. Most existing decoders apply the attention mechanism to every …

Automatically generating natural language descriptions of videos plays a fundamental
challenge for computer vision community. Most recent progress in this problem has been …

Audio description (AD) provides linguistic descriptions of movies and allows visually
impaired people to follow a movie along with their peers. Such descriptions are by design …

We introduce the task of scene-aware dialog. Our goal is to generate a complete and natural
response to a question about a scene, given video and audio of the scene and the history of …

Video captioning is a technique that bridges vision and language together, for which both
visual information and text information are quite important. Typical approaches are based on …

Notice of Violation of IEEE Publication Principles" Clinical Report Guided Retinal
Microaneurysm Detection With Multi-Sieving Deep Learning," by Ling Dai, Ruogu Fang …

Visual information is quite important for the task of video captioning. However, in the video,
there are a lot of uncorrelated content, which may cause interference to generate a correct …

Given an untrimmed video and a description query, temporal moment retrieval aims to
localize the temporal segment within the video that best describes the textual query. Existing …