In the field of autonomous vehicles (AVs), accurately discerning commander intent and
executing linguistic commands within a visual context presents a significant challenge. This …

This paper aims for the task of text-to-video retrieval, where given a query in the form of a
natural-language sentence, it is asked to retrieve videos which are semantically relevant to …

Video-text retrieval is an emerging stream in both computer vision and natural language
processing communities, which aims to find relevant videos given text queries. In this paper …

Image–text retrieval plays a considerable role in associating vision and language. Existing
mainstream approaches focus on fine-grained alignment while ignoring the influence of …

Video-text retrieval is an important but challenging research task in the multimedia
community. In this paper, we address the challenge task of Unsupervised Domain …

In the fields of computer vision and machine learning, domain adaptation has been
extensively studied and the main challenge in the case is how to transform the existing …

Synthesizing videos with forged faces is a fundamental yet important safety-critical task that
has caused severe security issues in recent years. Although many existing face forgery …

Video–text cross-modal retrieval (VTR) is more natural and challenging than image–text
retrieval, which has attracted increasing interest from researchers in recent years. To align …

In this paper, we target the challenging task of video-text retrieval. The common way for this
task is to learn a text-video joint embedding space by cross-modal representation learning …

Referring expression grounding is an important and challenging task in computer vision. To
avoid the laborious annotation in conventional referring grounding, unpaired referring …