We investigate descriptive video degradation assessment (VDA) for granular diagnosis beyond the interpretability limits of conventional video quality assessment (VQA). Unlike scalar mean opinion score (MOS) regression, descriptive VDA identifies spatio-temporal degradations and explains their collective perceptual impa...
Jun-Hao Zhou, Ze-Yu Xiao, Hao-Ze Li et al.· 0 citations
Facial expression recognition (FER) requires high-level semantic cues to interpret abstract emotions. However, existing FER approaches commonly suffer from sparse semantic descriptions and unwanted noise from redundant facial pixels. To tackle these issues, we propose a boosting representation learning framework to bui...
Hai Min, Kai-Yi Jia, Chunxiao Fan et al.· ACM Transactions on Multimed...· 0 citations
A geometry-semantics co-regularization framework that jointly optimizes geometry and semantics within 3DGS and develops a multi-view semantic consistency supervision to regularize the semantic distributions of Gaussian primitives, ensuring cross-view consistency for Gaussians corresponding to the same semantic category...
Haihong Xiao, Jianan Zou, Yanan Zhang et al.· IEEE Transactions on Visuali...· 0 citations
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