The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise
visual relationships in a given image. Although SGG has achieved remarkable progress …

Being able to understand visual scenes is a precursor for many downstream tasks including
autonomous driving robotics and other vision-based approaches. A common approach …

Visual Dialog (VD) requires an agent to answer the current question by engaging in a
conversation with humans referring to an image. Despite the recent progress, it is beneficial …

The current studies of Scene Graph Generation (SGG) focus on solving the long-tailed
problem for generating unbiased scene graphs. However, most de-biasing methods over …

The long-tail distribution in the scene graph generation (SGG) task has spurred immense
interest in unbiased SGG. However, current state-of-the-art debiasing techniques extract …

With the development of multimedia technology, events are usually presented in multimedia
forms, thus multimedia event extraction (MEE) has become more and more important …

Scene Graph Generation (SGG) is a typical computer vision task that detects objects and
corresponding predicates in an image. Existing SGG methods focus on modeling visual …

Intuitively, humans can consciously and subjectively attend to the interactions between
objects, and thus infer reasonable visual relations. However, mainstream approaches of …

Video anomaly detection has garnered widespread attention in industry and academia in
recent years due to its significant role in public security. However, many existing methods …

Abstract Scene Graph Generation (SGG) as a critical task in image understanding, facing the
challenge of head-biased prediction caused by the long-tail distribution of predicates …