As a vivid and linguistic symbol, Emojis have become a prevailing medium interspersed in
text-based communication (eg, social media and chit-chat) to express emotions, attitudes …

With the booming of streaming media platforms, viewers now get used to watching dramas
and movies via online platforms with more intelligent services. Usually, character …

The prosperity of knowledge graphs, as well as related downstream applications, has raised
the urgent need for knowledge graph completion techniques that fully support knowledge …

The WHU-NERCMS team participated in the Ad-hoc Vedio Search (AVS) and Deep Video
Understanding (DVU) tasks at TRECVID 2023. For AVS task, we chose to utilize embedding …

Pre-trained video-language models (VLMs) have shown superior performance in high-level
video understanding tasks, analyzing multi-modal information, aligning with Deep Video …

Deep video understanding (DVU) is often considered a challenge due to the aim of
interpreting a video with storyline, which is designed to solve two levels of problems …

Multi-modal Entity Alignment (MMEA) refers to utilizing multiple modalities such as text,
images, videos, etc., to match entities from multiple knowledge graphs. Compared to single …

Recent years have witnessed the urgent request for multi-modal sarcasm detection in social
media platforms. Though large efforts have been made with significant progress, prior arts …

The knowledge bases required the query language SPARQL, which consists of subject,
property, and object. SPARQL is a structured query language and is difficult to understand …

Recently, advancements in artificial intelligence technology have greatly influenced the field
of education, particularly in the area of intelligent homework assistance. However, current …