Current video anomaly detection (VAD) approaches with weak supervisions are inherently
limited to a closed-set setting and may struggle in open-world applications where there can …

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 …

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 …

Composed Image Retrieval (CIR) allows users to search target images with a multimodal
query, comprising a reference image and a modification text that describes the user's …

Multimodal sentence summarization, aiming to generate a brief summary of the source
sentence and image, is a new yet challenging task. Although existing methods have …

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 …

The increasing prevalence of video clips has sparked growing interest in text-video retrieval.
Recent advances focus on establishing a joint embedding space for text and video relying …

Text-to-video retrieval systems have recently made significant progress by utilizing pre-
trained models trained on large-scale image-text pairs. However, most of the latest methods …

Due to recent advances in pose-estimation methods, human motion can be extracted from a
common video in the form of 3D skeleton sequences. Despite wonderful application …

Text-video retrieval is a challenging task that aims to identify relevant videos given textual
queries. Compared to conventional textual retrieval, the main obstacle for text-video retrieval …