Audio-driven avatar generation requires realistic lip-sync, expressive motion, and real-time streaming. Recent work achieves the latter via self-forcing with Distribution Matching Distillation (DMD), but this paradigm suffers from a critical failure that has not been systematically characterized: dynamic collapse, wher...
Yubo Huang, Si-Rui Zhao, Xinchen Yao et al.· 1 citation· ⚡1
EviDep is presented, a multimodal evidential regression framework that integrates multi-scale temporal modeling and shared--private representation learning for uncertainty-aware depression estimation and shows competitive prediction accuracy, while both uncertainty estimates generally increase under controlled feature...
Fang-Yuan Liu, Si-Rui Zhao, Yang-Song Zhang et al.· 0 citations
Due to the presence of semantic ambiguity among similar expression categories and the inherent imbalance in spatio-temporal feature intensities, dynamic facial expression recognition (DFER) in the wild poses significant challenges for building trustworthy and robust systems. These factors often lead to inconsistent fea...
Feng-Qi Cui, Anyang Tong, Jin-Yang Huang et al.· IEEE Transactions on Informa...· 1 citation
DFCS is proposed, a training-free, trigger-agnostic method that clusters fixed pretrained features into one region per poisoning slot and selects the centroid-nearest sample from each region and supports distributional feature coverage as an effective selection principle for low-budget dirty-label backdoor attacks.
Yi Yang, Xiaoke Chen, Jin-Yang Huang et al.· 0 citations
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