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

Video temporal grounding aims to identify video segments within untrimmed videos that are
most relevant to a given natural language query. Existing video temporal localization models …

Compositional generalization has received much attention in vision-and-language and
visual reasoning recently. Substitutivity, the capability to generalize to novel compositions …

Temporal grounding, also known as video moment retrieval, aims at locating video
segments corresponding to a given query sentence. The compositional nature of natural …

Point-level supervised temporal action localization (PTAL) aims at recognizing and
localizing actions in untrimmed videos where only a single point (frame) within every action …

We introduce Vinci, a real-time embodied smart assistant built upon an egocentric vision-
language model. Designed for deployment on portable devices such as smartphones and …

Video Moment Retrieval (VMR) aims to localize a specific temporal segment within an
untrimmed long video given a natural language query. Existing methods often suffer from …

Compositional temporal grounding (CTG) aims to localize the most relevant segment from
an untrimmed video based on a given natural language sentence, and the test samples for …

Video understanding is a pivotal task in the digital era, yet the dynamic and multievent
nature of videos makes them labor-intensive and computationally demanding to process …

Given a natural language query, video moment retrieval aims to localize the described
temporal moment in an untrimmed video. A major challenge of this task is its heavy …