While existing Aspect-based Sentiment Analysis (ABSA) has received extensive effort and
advancement, there are still gaps in defining a more holistic research target seamlessly …

Existing research of video understanding still struggles to achieve in-depth comprehension
and reasoning in complex videos, primarily due to the under-exploration of two key …

Abstract We present Egocentric Action Scene Graphs (EASGs) a new representation for long-
form understanding of egocentric videos. EASGs extend standard manually-annotated …

Event extraction (EE) is a critical direction in the field of information extraction, laying an
important foundation for the construction of structured knowledge bases. EE from text has …

Situation recognition refers to the ability of an agent to identify and understand various
situations or contexts based on available information and sensory inputs. It involves the …

This paper describes the architecture of our system developed for Task 3 of SemEval-2024:
Multimodal Emotion-Cause Analysis in Conversations. Our project targets the challenges of …

Coreference resolution, an essential task in natural language processing, is particularly
challenging in multi-modal scenarios where data comes in various forms and modalities …

Recent research has achieved advancements in animated fashion video synthesis.
However, existing methods generate videos only with the guidance of poses, thus resulting …

Egocentric videos capture scenes from a wearer's viewpoint, resulting in dynamic
backgrounds, frequent motion, and occlusions, posing challenges to accurate keystep …

Multimodal large language models (MLLMs) are evolving rapidly but suffer from significant
challenges, such as hallucinations, which compromise the reliability and utility of MLLMs …