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

Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target
moment semantically according to a sentence query. Although previous respectable works …

Temporal sentence grounding (TSG) is crucial and fundamental for video understanding.
Although existing methods train well-designed deep networks with large amount of data, we …

Temporal sentence grounding (TSG) is an important yet challenging task in multimedia
information retrieval. Although previous TSG methods have achieved decent performance …

This paper addresses the problem of natural language video localization (NLVL). Almost all
existing works follow the" only look once" framework that exploits a single model to directly …

As an increasingly popular task in multimedia information retrieval, video moment retrieval
(VMR) aims to localize the target moment from an untrimmed video according to a given …

Video grounding, the process of identifying a specific moment in an untrimmed video based
on a natural language query, has become a popular topic in video understanding. However …

This paper targets unsupervised skeleton-based action representation learning and
proposes a new Hierarchical Contrast (HiCo) framework. Different from the existing …

This paper addresses temporal sentence grounding. Previous works typically solve this task
by learning frame-level video features and align them with the textual information. A major …

This article studies the multimedia problem of temporal sentence grounding (TSG), which
aims to accurately determine the specific video segment in an untrimmed video according to …