Recognizing and generating object-state compositions has been a challenging task,
especially when generalizing to unseen compositions. In this paper, we study the task of …

Implicit neural representations (INR) have gained increasing attention in representing 3D
scenes and images, and have been recently applied to encode videos (eg, NeRV, E-NeRV) …

The core of video understanding tasks such as recognition captioning and tracking is to
automatically detect objects or actions in a video and analyze their temporal evolution …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Malware open-set recognition (MOSR) is an emerging research domain that aims at jointly
classifying malware samples from known families and detecting the ones from novel …

Video highlight detection is a task to automatically select the most engaging moments from a
long video. This problem is highly challenging since it aims to learn a general way of finding …

With the rise of multimedia content on the internet, Multimodal Summarization has become a
challenging task to help individuals grasp vital information fast. However, previous methods …

Abstract 3D Scene Graph Generation (3DSGG) aims to classify objects and their predicates
within 3D point cloud scenes. However current 3DSGG methods struggle with two main …

Video summarization aims to create short, accurate, and cohesive summaries of longer
videos. Despite the existence of various video summarization datasets, a notable limitation …

Long-form video content constitutes a significant portion of internet traffic making automated
video summarization an essential research problem. However existing video summarization …