5 papers
Structured Evidence Selection for Weakly Supervised Video Anomaly Detection
Chenglizhao Chen, Tianxiang Nan, Wen Li +4
Weakly supervised video anomaly detection relies solely on video-level labels for training, making it difficult to accurately localize anomalous events in complex scenes. In real-w…
Multi-scale Object-Aware Gaze Estimation via Geometric Reasoning
Jiajie Mi, Xinyu Liu, Mengke Song +1
Gaze target estimation aims to predict the semantic object an observer fixates upon within an image, a task deeply rooted in the object-oriented nature of human gaze. Observers ten…
READ-Net: Clarifying Emotional Ambiguity via Adaptive Feature Recalibration for Audio-Visual Depression Detection
Chenglizhao Chen, Boze Li, Mengke Song +5
Depression is a severe global mental health issue that impairs daily functioning and overall quality of life. Although recent audio-visual approaches have improved automatic depres…
Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context
Mengke Song, Yuge Xie, Qi Cui +5
Emotion recognition,as a step toward mind reading,seeks to infer internal states from external cues.Most existing methods rely on explicit signals-such as facial expressions,speech…
Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection
Chenglizhao Chen, Xinyu Liu, Mengke Song +3
Detecting anomalies in human-related videos is crucial for surveillance applications. Current methods primarily include appearance-based and action-based techniques. Appearance-bas…