Speech Emotion Recognition (SER) is an important but challenging research topic in affective computing, aiming to identify the emotional state of a speaker from their speech. Emotional information in an utterance is carried by two complementary channels: the semantic content of the words (what is said) and the paraling...
Experiments show that the proposed binary denoising framework MSS-PBC achieves the best restoration performance among the evaluated binary methods, demonstrating that the proposed framework effectively narrows the restoration quality gap between binary and full-precision raw video denoising models.
Zhan-Qiang Huo, Hao Zhang, Ying-Xu Qiao et al.· The Visual Computer· 0 citations
SFH-Net is proposed, an horizontal-vertical-intensity (HVI)-guided luminance-chrominance collaborative enhancement framework that achieves a better trade-off among reconstruction accuracy, structural fidelity, and parameter compactness.
Zhanqiang Huo, Hui-Jie Zhang, Yingxu Qiao et al.· Engineering Research Express· 0 citations
A continual test-time adaptation framework that updates only a small subset of model parameters that consistently outperforms existing TTA and OVSS adaptation baselines across multiple datasets and corruptions, while maintaining stable performance over extended and cross-corruption continual streams without introducing...
Fen Luo, Sen Li, Zhanqiang Huo· Journal of King Saud Univers...· 0 citations
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