Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …

The rapid progress of multimodal signal processing in recent years has cleared the way for
novel applications in human-computer interaction, surveillance, and telecommunication …

In active speaker detection (ASD), we would like to detect whether an on-screen person is
speaking based on audio-visual cues. Previous studies have primarily focused on modeling …

Abstract Active Speaker Detection (ASD) aims to identify who is speaking in each frame of a
video. Solving ASD involves using audio and visual information in two complementary …

Class-incremental learning poses a significant challenge under an exemplar-free constraint,
leading to catastrophic forgetting and sub-par incremental accuracy. Previous attempts have …

With the gradual integration of internet technology and the industrial control field, industrial
control systems (ICSs) have begun to access public networks on a large scale. Attackers use …

Idling vehicle detection (IVD) can be helpful in monitoring and reducing unnecessary idling
and can be integrated into real-time systems to address the resulting pollution and harmful …

State-of-the-art Active Speaker Detection (ASD) approaches heavily rely on audio and facial
features to perform, which is not a sustainable approach in wild scenarios. Although these …

In light of the challenges imposed by fish behavior recognition, which arise from
environmental noise and dim lighting in aquaculture environments and adversely affect the …

We introduce a distinctive real-time, causal, neural network-based active speaker detection
system optimized for low-power edge computing. This system drives a virtual …