Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …

Our objective in this work is video-text retrieval-in particular a joint embedding that enables
efficient text-to-video retrieval. The challenges in this area include the design of the visual …

Audio Description (AD) is the task of generating descriptions of visual content, at suitable
time intervals, for the benefit of visually impaired audiences. For movies, this presents …

Large-scale video-language pre-training has shown significant improvement in video-
language understanding tasks. Previous studies of video-language pretraining mainly focus …

The objective of this paper is an automatic Audio Description (AD) model that ingests movies
and outputs AD in text form. Generating high-quality movie AD is challenging due to the …

Our world offers a never-ending stream of visual stimuli, yet today's vision systems only
accurately recognize patterns within a few seconds. These systems understand the present …

There has been a recent explosion of large-scale image-text datasets, as images with alt-
text captions can be easily obtained online. Obtaining large-scale, high quality data for video …

Most modern video recognition models are designed to operate on short video clips (eg, 5–
10 s in length). Thus, it is challenging to apply such models to long movie understanding …

Media is created by humans for humans to tell stories. There exists a natural and imminent
need for creating human-centered media analytics to illuminate the stories being told and to …

Our goal in this paper is the adaptation of image-text models for long video retrieval. Recent
works have demonstrated state-of-the-art performance in video retrieval by adopting CLIP …