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A spatial attentive and temporal dilated(SATD)GCN for skeleton-based action recognition 被引量:11
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作者 Jiaxu Zhang Gaoxiang Ye +4 位作者 Zhigang Tu yongtao qin Qianqing qin Jinlu Zhang Jun Liu 《CAAI Transactions on Intelligence Technology》 SCIE EI 2022年第1期46-55,共10页
Current studies have shown that the spatial-temporal graph convolutional network(STGCN)is effective for skeleton-based action recognition.However,for the existing STGCN-based methods,their temporal kernel size is usua... Current studies have shown that the spatial-temporal graph convolutional network(STGCN)is effective for skeleton-based action recognition.However,for the existing STGCN-based methods,their temporal kernel size is usually fixed over all layers,which makes them cannot fully exploit the temporal dependency between discontinuous frames and different sequence lengths.Besides,most of these methods use average pooling to obtain global graph feature from vertex features,resulting in losing much fine-grained information for action classification.To address these issues,in this work,the authors propose a novel spatial attentive and temporal dilated graph convolutional network(SATD-GCN).It contains two important components,that is,a spatial attention pooling module(SAP)and a temporal dilated graph convolution module(TDGC).Specifically,the SAP module can select the human body joints which are beneficial for action recognition by a self-attention mechanism and alleviates the influence of data redundancy and noise.The TDGC module can effectively extract the temporal features at different time scales,which is useful to improve the temporal perception field and enhance the robustness of the model to different motion speed and sequence length.Importantly,both the SAP module and the TDGC module can be easily integrated into the ST-GCN-based models,and significantly improve their performance.Extensive experiments on two large-scale benchmark datasets,that is,NTU-RGB+D and Kinetics-Skeleton,demonstrate that the authors’method achieves the state-of-the-art performance for skeleton-based action recognition. 展开更多
关键词 classification. SKELETON action
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The synthesis,biological activities and applications of protein-polysaccharide conjugates in food system:a review
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作者 Shixuan Zhang Kai Wang +3 位作者 yongtao qin Shunyi Zhu Qikuan Gao Diru Liu 《Food Quality and Safety》 SCIE CSCD 2023年第1期187-203,共17页
Proteins are important ingredients in the food industry for their excellent nutritional,functional and biological properties,while the application is limited by their sensitivity to environmental stresses such as high... Proteins are important ingredients in the food industry for their excellent nutritional,functional and biological properties,while the application is limited by their sensitivity to environmental stresses such as high temperature,pH changes and ionic strength.The Maillard reaction and transglutaminase-catalyzed glycosylation are the two main effective glycosylation ways to improve the stability and biological properties of proteins by mainly attaching monosaccharides or disaccharides to proteins,while protein–polysaccharide conjugates with superior functional properties are rarely discussed.Therefore,the present study reviews current state of the synthesis,biological activities and applications in the food system of protein–polysaccharide conjugates formed via the Maillard reaction and transglutaminase-catalyzed glycosylation.The biological activities including antioxidant,antimicrobial and immunomodulatory activities of proteins are improved after glycosylation,and the formed protein–polysaccharide conjugates can be applied to stabilize emulsions or deliver bioactive compounds in foods.The bioactivities produced under precisely controlled glycosylation conditions would make protein–polysaccharide conjugates a promising application in foods with healthy properties. 展开更多
关键词 Maillard reaction transglutaminase-catalyzed glycosylation antioxidant activity antimicrobial activity food application
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