Abstract Dense Event Captioning (DEC) aims to jointly localize and describe multiple events
of interest in untrimmed videos, which is an advancement of the conventional video …

Dense event captioning aims to detect and describe all events of interest contained in a
video. Despite the advanced development in this area, existing methods tackle this task by …

Dense video captioning aims to localize and describe multiple events in untrimmed videos,
which is a challenging task that draws attention recently in computer vision. Although …

The dense video captioning task aims to detect and describe a sequence of events in a
video for detailed and coherent storytelling. Previous works mainly adopt a" detect-then …

Dense video captioning aims to generate corresponding text descriptions for a series of
events in the untrimmed video, which can be divided into two sub-tasks, event detection and …

Dense video captioning is a newly emerging task that aims at both localizing and describing
all events in a video. We identify and tackle two challenges on this task, namely,(1) how to …

Dense video captioning is a task of localizing interesting events from an untrimmed video
and producing textual description (captions) for each localized event. Most of the previous …

Dense video captioning is an extremely challenging task since accurate and coherent
description of events in a video requires holistic understanding of video contents as well as …

Dense video captioning aims to generate multiple associated captions with their temporal
locations from the video. Previous methods follow a sophisticated" localize-then-describe" …

Automatically describing a video with natural language is regarded as a fundamental
challenge in computer vision. The problem nevertheless is not trivial especially when a …