9 papers
CONFER: Conflict-Aware Evidence Negotiation for Regime-Calibrated Weak Supervision in Multimodal Emotion Recognition
Bojing Hou, Ruohao Li, Yitong Zhu +2
Multimodal emotion recognition often treats self-reported labels as reliable supervision while overlooking self-report unreliability and cross-modal conflict. We propose \textbf{CO…
BioKD: Selective Physiology-to-Video Knowledge Distillation via Reliability Gate for Emotion Recognition
Bojing Hou, Ruohao Li, Yitong Zhu +3
To address the limitations of video-based emotion recognition under ambiguous or socially masked behavioral cues, as well as the poor deployability of physiological signals, this p…
From Adaptation to Intelligence: A Systematic Review of Data, Strategies, and Impact in Personalized VR
Tangyao Li, Yitong Zhu, Hai-Ning Liang +1
As virtual reality (VR) systems advance, they are increasingly expected to adapt intelligently to individual users' states, abilities, and preferences. While prior research has exa…
QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis
Yitong Zhu, Yuxuan Jiang, Guanxuan Jiang +4
Multimodal Sentiment Analysis (MSA) aims to infer human sentiment from textual, acoustic, and visual signals. In real-world scenarios, however, multimodal inputs are often compromi…
Flow-Aware Diffusion for Real-Time VR Restoration: Enhancing Spatiotemporal Coherence and Efficiency
Yitong Zhu, Qianghong Dong, Guanxuan Jiang +2
Cybersickness remains a critical barrier to the widespread adoption of Virtual Reality (VR), particularly in scenarios involving intense or artificial motion cues. Among the key co…
Balancing Exploration and Cybersickness: Investigating Curiosity-Driven Behavior in Virtual Environments
Tangyao Li, Yuyang Wang
During virtual navigation, users exhibit varied interaction and navigation behaviors influenced by several factors. Existing theories and models have been developed to explain and…