Video description is the automatic generation of natural language sentences that describe
the contents of a given video. It has applications in human-robot interaction, helping the …

Video description refers to understanding visual content and transforming that acquired
understanding into automatic textual narration. It bridges the key AI fields of computer vision …

In this work, we introduce Vid2Seq, a multi-modal single-stage dense event captioning
model pretrained on narrated videos which are readily-available at scale. The Vid2Seq …

Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

It is always well believed that modeling relationships between objects would be helpful for
representing and eventually describing an image. Nevertheless, there has not been …

The last decade has witnessed a growing interest in video salient object detection (VSOD).
However, the research community long-term lacked a well-established VSOD dataset …

Segmenting untrimmed videos into chapters enables users to quickly navigate to the
information of their interest. This important topic has been understudied due to the lack of …

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 …

The ability to capture inter-frame dynamics has been critical to the development of video
salient object detection (VSOD). While many works have achieved great success in this field …

Recent progress in using long short-term memory (LSTM) for image captioning has
motivated the exploration of their applications for video captioning. By taking a video as a …