collaborators

7 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Controlling Decision Drift in Multimodal Sentiment Analysis with Missing Modalities

Chenglizhao Chen, Yuchen Cao, Xinyu Liu +3

Multimodal sentiment analysis relies on textual, acoustic, and visual signals, yet real-world data often suffer from modality missing and quality imbalance. Existing methods genera…

cs.CV2026

Determined by User Needs: A Salient Object Detection Rationale Beyond Conventional Visual Stimuli

Chenglizhao Chen, Shujian Zhang, Luming Li +2

Existing \textbf{s}alient \textbf{o}bject \textbf{d}etection (SOD) methods adopt a \textbf{passive} visual stimulus-based rationale--objects with the strongest visual stimuli are p…

cs.CV2026

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…

cs.CV2026

GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation

Chenglizhao Chen, Shaojiang Yuan, Xiaoxue Lu +5

Conceal dense prediction (CDP), especially RGB-D camouflage object detection and open-vocabulary camouflage object segmentation, plays a crucial role in advancing the understanding…