Temporal sentence grounding in videos (TSGV), aka, natural language video localization
(NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that …

Temporal sentence grounding in videos (TSGV), which aims at localizing one target
segment from an untrimmed video with respect to a given sentence query, has drawn …

Video Moment Retrieval (VMR) targets to retrieve the specific moment corresponding to a
sentence query from an untrimmed video. Although recent respectable works have made …

Video moment retrieval aims at localizing a specific moment from an untrimmed video by a
sentence query. Most methods rely on heavy annotations of video moment-query pairs …

Temporal language grounding (TLG) is one of the most challenging cross-modal video
understanding tasks, which aims at retrieving the most relevant video segment from an …

Temporal sentence grounding in videos (TSGV), aka, natural language video localization
(NLVL) or video moment retrieval (VMR), aims to retrieve a temporal moment that …

Video sentence grounding locates a specific moment in a video based on a text query.
Existing methods focus on single temporal resolution, ignoring multi-scale temporal …

This paper explores the task of video moment retrieval (VMR), which aims to localize the
temporal boundary of a specific moment from an untrimmed video by a sentence query …

Natural Language Video Localization (NLVL) has recently attracted much attention because
of its practical significance. However, the existing methods still face the following challenges …

Video moment retrieval locates a specified moment by a sentence query. Recent
approaches have made remarkable advancements with large-scale video-sentence …