Video moment localization, also known as video moment retrieval, aims to search a target
segment within a video described by a given natural language query. Beyond the task of …

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 aims to detect the most salient moment corresponding to the
natural language query from untrimmed videos. As labeling the temporal boundaries is labor …

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

Recent research on video moment retrieval has mostly focused on enhancing the
performance of accuracy, efficiency, and robustness, all of which largely rely on the …

Video moment localization aims at localizing the video segments which are most related to
the given free-form natural language query. The weakly supervised setting, where only …

The task of weakly supervised temporal sentence grounding aims at finding the
corresponding temporal moments of a language description in the video, given video …

Temporal video grounding aims to localize the target segment which is semantically aligned
with the given sentence in an untrimmed video. Existing methods can be divided into two …

Video activity localisation has recently attained increasing attention due to its practical
values in automatically localising the most salient visual segments corresponding to their …

Temporal video grounding (TVG) aims to localize a target segment in a video according to a
given sentence query. Though respectable works have made decent achievements in this …