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

We propose a graph-based representation learning framework for video summarization.
First we convert an input video to a graph where nodes correspond to each of the video …

Nowadays, the large amount of audio-visual content available has fostered the need to
develop new robust automatic speaker diarization systems to analyse and characterise it …

With the ongoing advancements in AI technology, human-robot interactions have become
increasingly prevalent, extending across diverse domains such as AI speakers and service …