{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T02:03:23Z","timestamp":1768529003464,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819756148","type":"print"},{"value":"9789819756155","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-5615-5_8","type":"book-chapter","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T13:12:02Z","timestamp":1722604322000},"page":"90-102","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Fusion Attention Graph Convolutional Network with Hyperskeleton for UAV Action Recognition"],"prefix":"10.1007","author":[{"given":"Fang","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheng","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cuiwei","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangbin","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,3]]},"reference":[{"key":"8_CR1","doi-asserted-by":"crossref","unstructured":"Li, J., Wei, P., Zheng, N.: Nesting spatiotemporal attention networks for action recognition. Neurocomputing, 338\u2013348 (2021)","DOI":"10.1016\/j.neucom.2021.06.088"},{"key":"8_CR2","doi-asserted-by":"crossref","unstructured":"Xu, Y., Cao, H., Yang, J., Mao, K., Yin, J., See, S.: PNL: efficient long-range dependencies extraction with pyramid non-local module for action recognition, Neurocomputing, 282\u2013293 (2021)","DOI":"10.1016\/j.neucom.2021.03.064"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Si, C., Chen, W., Wang, W., Wang, L., Tan, T.: An attention enhanced graph convolutionnal lstm network for skeleton-based action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1227\u20131236 (2019)","DOI":"10.1109\/CVPR.2019.00132"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Shi, L., Zhang, Y., Cheng, J., Lu, H.: Skeleton-based action recognition with multi-stream adaptive graph convolutional networks, IEEE Trans. Image Process. pp. 9532\u20139545 (2020)","DOI":"10.1109\/TIP.2020.3028207"},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Plizzari, C., Cannici, M., Matteucci, M.: Skeleton-based action recognition via spatial and temporal transformer networks. Comput. Vis. Image Understand. 103219, ISSN 1077\u20133142 (2021)","DOI":"10.1016\/j.cviu.2021.103219"},{"key":"8_CR6","doi-asserted-by":"crossref","unstructured":"Ye, F., Pu, S., Zhong, Q., Li, C., Xie, D., Tang, H.: Dynamic GCN: context enriched topology learning for skeleton-based action recognition. In: Proceedings of the 28th ACM International Conference on Multimedia(ACMMM), pp.55\u201363 (2020)","DOI":"10.1145\/3394171.3413941"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Hu, Z., Pan, Z., Wang, Q.: Forward-reverse adaptive graph convolutional networks for skeleton-based action recognition. Neurocomputing, 624\u2013636, ISSN 0925\u20132312 (2022)","DOI":"10.1016\/j.neucom.2021.12.054"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Xie, Y., Zhang, Y., Ren, F.: Temporal-enhanced graph convolution network for skeleton-based action recognition. IET Comput. Vis. 16(3) (2022)","DOI":"10.1049\/cvi2.12086"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, Q., Cheng, J., Ren, Z.: Multi-scale spatial-temporal convolutional neural network for skeleton-based action recognition. Pattern Anal. Appl. (2023)","DOI":"10.1007\/s10044-023-01156-w"},{"issue":"4","key":"8_CR10","doi-asserted-by":"publisher","first-page":"1868","DOI":"10.1109\/TCSVT.2022.3217763","volume":"33","author":"Z Huang","year":"2022","unstructured":"Huang, Z., Qin, Y., Lin, X.: Motion-driven spatial and temporal adaptive high-resolution graph convolutional networks for skeleton-based action recognition. IEEE Trans. Circuits Syst. Video Technol. 33(4), 1868\u20131883 (2022)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"8_CR11","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"8_CR12","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., et al.: CBAM: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"8_CR13","unstructured":"Yang, L., Zhang, R.-Y., Li, L., Xie, X.: SimAM: a simple, parameter-free attention module for convolutional neural networks. In: Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, pp. 11863\u201311874 (2021)"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Li, T., Liu, J., Zhang, W.: UAV-Human: a large benchmark for human behavior understanding with unmanned aerial vehicles. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp.16266\u201316275 (2021)","DOI":"10.1109\/CVPR46437.2021.01600"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Shahroudy, A., Liu, J., Ng, T.T., et al.: NTU RGB+D: a large scale dataset for 3D human activity analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1010\u20131019 (2016)","DOI":"10.1109\/CVPR.2016.115"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-5615-5_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T11:03:28Z","timestamp":1731150208000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5615-5_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756148","9789819756155"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5615-5_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}