To promote the development of Vision-Language Pre-training (VLP) and multimodal Large
Language Model (LLM) in the Chinese community, we firstly release the largest public …

Recent advancements in video-language understanding have been established on the
foundation of image-text models, resulting in promising outcomes due to the shared …

E-commerce is increasingly multimedia-enriched, with products exhibited in a broad-domain
manner as images, short videos, or live stream promotions. A unified and vectorized cross …

We present a Recipe for Effective and Efficient zero-shot video-text Retrieval, dubbed M2-
RAAP. Upon popular image-text models like CLIP, most current adaptation-based video-text …

This paper aims to tackle a novel task-Temporal Sentence Grounding in Streaming Videos
(TSGSV). The goal of TSGSV is to evaluate the relevance between a video stream and a …

Social video platforms have emerged as significant channels for information dissemination,
facilitating lively public discussions that often give rise to controversies. However, existing …

Vision-Language Models pre-trained on large-scale image-text datasets have shown
superior performance in downstream tasks such as image retrieval. Most of the images for …

Pre-trained vision-language models (VLMs), such as CLIP, have shown remarkable success
in the text-video retrieval task due to their strong vision-language representations learned …