The performance of text-video retrieval has been significantly improved by vision-language
cross-modal learning schemes. The typical solution is to directly align the global video-level …

Almost all previous text-to-video retrieval works assume that videos are pre-trimmed with
short durations. However, in practice, videos are generally untrimmed containing much …

Text-to-image person re-identification (TIReID) retrieves pedestrian images of the same
identity based on a query text. However, existing methods typically treat it as a one-to-one …

This paper addresses the challenging task of language-driven moment retrieval. Previous
methods are typically trained to localize the target moment corresponding to a single …

In the rapidly expanding domain of web video content, the task of text-video retrieval has
become increasingly critical, bridging the semantic gap between textual queries and video …

We address the image-to-video adaptation task that aims to leverage labeled images and
unlabeled videos for video recognition. There are two major challenges in this task …

Text-based video retrieval is a crucial technology for video and multimodal applications.
Although in traditional Text-Video Retrieval caption-video pairs are supposed to be entirely …

Temporal language grounding in videos aims to ground one video segment in an untrimmed
video based on a given sentence query. The main challenge in this task lies in how to align …