Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …

Multi-agent collaborative perception has recently received widespread attention as an
emerging application in driving scenarios. Despite the advancements in previous efforts …

Context-aware emotion recognition (CAER) has recently boosted the practical applications
of affective computing techniques in unconstrained environments. Mainstream CAER …

Multi-agent collaborative perception has received increasing attention recently as an
emerging application in driving scenarios. Despite advancements in previous approaches …

Video anomaly detection is an essential yet challenging task in the multimedia community,
with promising applications in smart cities and secure communities. Existing methods …

Abstract Although Deep Neural Networks (DNNs) have demonstrated excellent
performance, they are vulnerable to adversarial patches that introduce perceptible and …

Data-Free Knowledge Distillation (DFKD) is a novel task that aims to train high-performance
student models using only the teacher network without original training data. Despite …

In the realm of Medical Visual Language Models (Med-VLMs), the quest for universal
efficient fine-tuning mechanisms remains paramount, especially given researchers in …

Multimodal intention understanding (MIU) is an indispensable component of human
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …

Multimodal Sentiment Analysis (MSA) aims to understand human intentions by integrating
emotion-related clues from diverse modalities, such as visual, language, and audio …