{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:58Z","timestamp":1750220338310,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12,4]]},"DOI":"10.1145\/3507548.3507565","type":"proceedings-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T23:12:40Z","timestamp":1646867560000},"page":"112-121","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AZY-GCN: Multi-scale feature suppression attentional diagram convolutional network for human pose prediction"],"prefix":"10.1145","author":[{"given":"Yang","family":"Zhang","sequence":"first","affiliation":[{"name":"Software Department, SHENZHEN GUANGWEI TECHNOLOGY CO LTD, China and Software Department, SHENZHEN GUANGWEI TECHNOLOGY CO LTD, China"}]},{"given":"Fan","family":"Xiao Shan","sequence":"additional","affiliation":[{"name":"Algorithm Department, SHENZHEN, China and Algorithm Department, SHENZHEN DELTRON INTELLIGEN TECHNOLOGY, China"}]},{"given":"Gang","family":"He","sequence":"additional","affiliation":[{"name":"Algorithm Department, SHENZHEN, China and Algorithm Department, SHENZHEN JINGYOU WISDOM EDUCATION CO.,LTD, China"}]}],"member":"320","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"In Proceedings of the European Conference on Computer Vision, Pages 226 \u2013 242","author":"Cai Yujun","year":"2020","unstructured":"Yujun Cai , Lin Huang , Yiwei Wang , Tat-Jen Cham , Jianfei Cai , Junsong Yuan , Jun Liu , Xu Yang , Yiheng Zhu , Xiaohui Shen , In Proceedings of the European Conference on Computer Vision, Pages 226 \u2013 242 . Springer , 2020 . 2 Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen,In Proceedings of the European Conference on Computer Vision, Pages 226 \u2013 242. Springer, 2020. 2"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,Pages 7753 \u2013 7762","author":"Pavllo Dario","year":"2019","unstructured":"Dario Pavllo , Christoph Feichtenhofer , David Grangier ,and Michael Auli . 3d human pose estimation in video with temporal convolutions and semisupervised training . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,Pages 7753 \u2013 7762 , 2019 . 1, 6, 7, 0 Dario Pavllo, Christoph Feichtenhofer, David Grangier,and Michael Auli. 3d human pose estimation in video with temporal convolutions and semisupervised training. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,Pages 7753 \u2013 7762, 2019. 1, 6, 7, 0"},{"key":"e_1_3_2_1_3_1","volume-title":"And Xinshuo Weng. Joint Object Detection with Graph neural networks. ArXiv PrePrint arXiv:2006.13164","author":"Wang Yongxin","year":"2020","unstructured":"Yongxin Wang , Kris Kitani , And Xinshuo Weng. Joint Object Detection with Graph neural networks. ArXiv PrePrint arXiv:2006.13164 , 2020 Yongxin Wang, Kris Kitani, And Xinshuo Weng. Joint Object Detection with Graph neural networks. ArXiv PrePrint arXiv:2006.13164, 2020"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00029"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00958"},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on Learning Representations","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . Semi-supervised classification with graph convolutional networks . International Conference on Learning Representations , 2016 . 3 Thomas N Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. International Conference on Learning Representations, 2016. 3"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Islam Ashraful","year":"2020","unstructured":"Ashraful Islam , Chengjiang Long , Arslan Basharat , and Anthony Hoogs . Doa-gan:Dual-order attentive generative adversarial network for image copy-move forgery detection and localization . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2020 . 2 Ashraful Islam, Chengjiang Long, Arslan Basharat, and Anthony Hoogs. Doa-gan:Dual-order attentive generative adversarial network for image copy-move forgery detection and localization. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020. 2"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0834-9"},{"issue":"959","key":"e_1_3_2_1_9_1","first-page":"970","article-title":"Network for skeleton based Action Prediction.","volume":"29","author":"Ke Qiuhong","year":"2019","unstructured":"Qiuhong Ke , Mohammed Bennamoun , Hossein Rahmani , Senjian An , Ferdous Sohel , And Farid Boussaid . Learning Latent Global Network for skeleton based Action Prediction. IEEE Transactions on Image Processing , 29 : 959 \u2013 970 , 2019 .1, 2 Qiuhong Ke, Mohammed Bennamoun, Hossein Rahmani,Senjian An, Ferdous Sohel,And Farid Boussaid.Learning Latent Global Network for skeleton based Action Prediction.IEEE Transactions on Image Processing, 29:959 \u2013 970, 2019.1, 2","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.288"},{"key":"e_1_3_2_1_11_1","article-title":"Graph convolutional networks for hyperspectral image classification","author":"Hong Danfeng","year":"2020","unstructured":"Danfeng Hong , Lianru Gao , Jing Yao , Bing Zhang , Antonio Plaza ,and Jocelyn Chanussot . Graph convolutional networks for hyperspectral image classification . IEEE Transactions on Geoscience and Remote Sensing , 2020 . 2 Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza,and Jocelyn Chanussot. Graph convolutional networks for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2020. 2","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3061927"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00655"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.171"},{"key":"e_1_3_2_1_15_1","volume-title":"Towards Understanding the Adversarial vulnerability of resilience of skeleton based action Recognition. ArXiv Preprint arXiv:2005.07151","author":"Zheng Tianhang","year":"2020","unstructured":"Tianhang Zheng , Sheng Liu , Changyou Chen , Junsong Yuan , Baochun Li , Kui Ren . Towards Understanding the Adversarial vulnerability of resilience of skeleton based action Recognition. ArXiv Preprint arXiv:2005.07151 , 2020 . 1, 2 Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li,Kui Ren. Towards Understanding the Adversarial vulnerability of resilience of skeleton based action Recognition. ArXiv Preprint arXiv:2005.07151, 2020. 1, 2"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01434"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00810"},{"key":"e_1_3_2_1_18_1","first-page":"803","article-title":"Proceedings of the European Conference on Computer Vision","volume":"786","author":"Liang Xiaodan","year":"2018","unstructured":"Xiaodan Liang , Yuxiong Wang , Xiaodan Liang , And Jose MF Moura . Adversarial Geometry - Aware Human Motion Prediction . Proceedings of the European Conference on Computer Vision , Pages 786 \u2013 803 , 2018 . 1, 2 Xiaodan Liang, Yuxiong Wang, Xiaodan Liang, And Jose MF Moura. Adversarial Geometry - Aware Human Motion Prediction. Proceedings of the European Conference on Computer Vision, Pages 786 \u2013 803,2018. 1, 2","journal-title":"Pages"},{"key":"e_1_3_2_1_19_1","first-page":"1","article-title":"Early action prediction with generative adversarial networks","author":"Wang Dong","year":"2019","unstructured":"Dong Wang , Yuan Yuan , And Qi Wang . Early action prediction with generative adversarial networks . IEEE Transactions on Neural Networks , 2019 . 1 , 2 Dong Wang, Yuan Yuan, And Qi Wang. Early action prediction with generative adversarial networks. IEEE Transactions on Neural Networks, 2019. 1, 2","journal-title":"IEEE Transactions on Neural Networks"},{"key":"e_1_3_2_1_20_1","volume-title":"Pages arXiv \u2013","author":"Aksan Emre","year":"2004","unstructured":"Emre Aksan , Peng Cao , Manuel Kaufmann , And Otmar Hilliges. Spatio-temporal Transformer for 3D Human Motion Prediction. ArXiv E-Prints , Pages arXiv \u2013 2004 , 2020 Emre Aksan, Peng Cao, Manuel Kaufmann, And Otmar Hilliges. Spatio-temporal Transformer for 3D Human Motion Prediction. ArXiv E-Prints, Pages arXiv \u2013 2004, 2020"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.153"},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","author":"Shi Liushuai","year":"2021","unstructured":"Liushuai Shi , Le Wang , Chengjiang Long , Sanping Zhou , Mo Zhou , Zhenxing Niu , and Gang Hua . Sgcn:Sparse graph convolution for pedestrian trajectory prediction . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2021 . 2 Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, and Gang Hua. Sgcn:Sparse graph convolution for pedestrian trajectory prediction. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021. 2"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of the IEEE International Conference on ComputerVision","author":"Long Chengjiang","year":"2015","unstructured":"Chengjiang Long and Gang Hua . Multi-class multiannotator active learning with robust gaussian process for visual recognition . In Proceedings of the IEEE International Conference on ComputerVision , 2015 . 2 Chengjiang Long and Gang Hua. Multi-class multiannotator active learning with robust gaussian process for visual recognition. In Proceedings of the IEEE International Conference on ComputerVision, 2015. 2"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.494"},{"issue":"5783","key":"e_1_3_2_1_25_1","first-page":"5793","article-title":"Convolutional temporal attention learning for action recognition","volume":"29","author":"Yang Hao","year":"2020","unstructured":"Hao Yang , Chunfeng Yuan , Li Zhang , Yunda Sun , Weiming Hu , and Stephen J Maybank . Sta-cnn : Convolutional temporal attention learning for action recognition . IEEE Transactions on Image Processing , 29 : 5783 \u2013 5793 , 2020 . 1,2 Hao Yang, Chunfeng Yuan, Li Zhang, Yunda Sun, Weiming Hu, and Stephen J Maybank. Sta-cnn:Convolutional temporal attention learning for action recognition. IEEE Transactions on Image Processing, 29:5783 \u2013 5793, 2020. 1,2","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20123499"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00723"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08269-7"},{"issue":"97757","key":"e_1_3_2_1_29_1","first-page":"97770","article-title":"Multi-stream and Enhanced spatial-temporal graph convolution for skeleton based action recognition","volume":"8","author":"Li Fanjia","year":"2020","unstructured":"Fanjia Li , Aichun Zhu , Yonggang Xu , Ran Cui , Gang Hua . Multi-stream and Enhanced spatial-temporal graph convolution for skeleton based action recognition . IEEE Transactions on Pattern Recognition , 8 : 97757 \u2013 97770 ,1 2020 . Fanjia Li, Aichun Zhu, Yonggang Xu, Ran Cui, Gang Hua. Multi-stream and Enhanced spatial-temporal graph convolution for skeleton based action recognition. IEEE Transactions on Pattern Recognition, 8:97757 \u2013 97770,1 2020.","journal-title":"IEEE Transactions on Pattern Recognition"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.524"},{"key":"e_1_3_2_1_31_1","first-page":"1","article-title":"A spatio-temporal Feature Learning Network for Human Motion Prediction","author":"Liu Xiaoli","year":"2020","unstructured":"Xiaoli Liu , Jianqin Yin , Jin Liu , Pengxiang Ding , Jun Liu , and Huaping Liub . Trajectorycnn : A spatio-temporal Feature Learning Network for Human Motion Prediction . IEEE Transactions on Circuits and Systems for Video Technology , 2020 . 1 ,2 Xiaoli Liu, Jianqin Yin, Jin Liu, Pengxiang Ding, Jun Liu, and Huaping Liub. Trajectorycnn:A spatio-temporal Feature Learning Network for Human Motion Prediction. IEEE Transactions on Circuits and Systems for Video Technology, 2020.1,2","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"e_1_3_2_1_32_1","volume-title":"ArXiv Preprint arXiv:2007.09389","author":"Zeng Ailing","year":"2020","unstructured":"Ailing Zeng , Xiao Sun , Fuyang Huang , Minhao Liu , Qiang Xu , and Stephen Lin . Srnet: Generalization in 3D human pose estimation with a split and recombine approach. ArXiv Preprint arXiv:2007.09389 , 2020 . 1, 2, 3, 5, 6, 7, 0 Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, and Stephen Lin. Srnet:Generalization in 3D human pose estimation with a split and recombine approach. ArXiv Preprint arXiv:2007.09389, 2020. 1, 2, 3, 5, 6, 7, 0"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.497"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.248"},{"key":"e_1_3_2_1_35_1","volume-title":"And Jimmy S Ren. Generalizing monocular 3D human pose estimation in the wild. ArXiv Preprint arXiv: 194.05512","author":"Wang Luyang","year":"2019","unstructured":"Luyang Wang , Yan Chen , Zhenhua Guo , Keyuan Qian , Mude Lin , Hongsheng Li , And Jimmy S Ren. Generalizing monocular 3D human pose estimation in the wild. ArXiv Preprint arXiv: 194.05512 , 2019 Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, And Jimmy S Ren. Generalizing monocular 3D human pose estimation in the wild. ArXiv Preprint arXiv: 194.05512, 2019"},{"key":"e_1_3_2_1_36_1","volume-title":"A Relational Analysis of Relational Networks. ArXiv Preprint arXiv:1805.08961","author":"Park Sungheon","year":"2018","unstructured":"Sungheon Park and Nojun Kwak . A Relational Analysis of Relational Networks. ArXiv Preprint arXiv:1805.08961 , 2018 Sungheon Park and Nojun Kwak. A Relational Analysis of Relational Networks. ArXiv Preprint arXiv:1805.08961, 2018"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11212"},{"volume-title":"Proceedings of 2020 3rd International Conference on Computer Applications & Information Security, Pages 1 \u2013 6.2020","author":"Al-Aqel Amal Fahad","key":"e_1_3_2_1_38_1","unstructured":"Amal Fahad Al-Aqel and Murtaza Ali Khan . A Study on human Motion Prediction based on fuzzy neural network . Proceedings of 2020 3rd International Conference on Computer Applications & Information Security, Pages 1 \u2013 6.2020 . 1, 2 Amal Fahad Al-Aqel and Murtaza Ali Khan. A Study on human Motion Prediction based on fuzzy neural network. Proceedings of 2020 3rd International Conference on Computer Applications & Information Security, Pages 1 \u2013 6.2020. 1, 2"},{"key":"e_1_3_2_1_39_1","volume-title":"Thirty-Second AAAI Conference on Artificial Intelligence","author":"Fang Hao-Shu","year":"2018","unstructured":"Hao-Shu Fang , Yuanlu Xu , Wenguan Wang , Xiaobai Liu ,and Song-Chun Zhu . Learning pose grammar to encode human body configuration for 3d pose estimation . In Thirty-Second AAAI Conference on Artificial Intelligence , 2018 . 1 Hao-Shu Fang, Yuanlu Xu, Wenguan Wang, Xiaobai Liu,and Song-Chun Zhu. Learning pose grammar to encode human body configuration for 3d pose estimation. In Thirty-Second AAAI Conference on Artificial Intelligence, 2018. 1"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2682082"},{"key":"e_1_3_2_1_41_1","volume-title":"The Neural Networks of Hop-hop Relation-aware Graph. ArXiv Preprint arXiv:2012.11147","author":"Zhang Li","year":"2020","unstructured":"Li Zhang , Yan Ge , Zhang Zhang , Haiping Lu . The Neural Networks of Hop-hop Relation-aware Graph. ArXiv Preprint arXiv:2012.11147 , 2020 Li Zhang, Yan Ge, Zhang Zhang, Haiping Lu. The Neural Networks of Hop-hop Relation-aware Graph. ArXiv Preprint arXiv:2012.11147, 2020"},{"key":"e_1_3_2_1_42_1","first-page":"8553","volume-title":"Human Motion Prediction Gan. In Proceedings of the AAAI Conference on Artificial Intelligence","volume":"33","author":"Kundu Jogendra Nath","year":"2019","unstructured":"Jogendra Nath Kundu , Maharshi Gor , and R Venkatesh Babu . Bihmp-gan: Bidirectional 3D Human Motion Prediction Gan. In Proceedings of the AAAI Conference on Artificial Intelligence , Volume 33 , Pages 8553 \u2013 8560, 2019 . 1, 2 Jogendra Nath Kundu, Maharshi Gor, and R Venkatesh Babu. Bihmp-gan:Bidirectional 3D Human Motion Prediction Gan. In Proceedings of the AAAI Conference on Artificial Intelligence, Volume 33, Pages 8553 \u2013 8560, 2019. 1, 2"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00235"},{"key":"e_1_3_2_1_44_1","volume-title":"BMVC","author":"Zou Zhiming","year":"2020","unstructured":"Zhiming Zou , Kenkun Liu , Le Wang , and Wei Tang . High-order graph convolutional networks for 3d human pose estimation . BMVC , 2020 . 1, 2, 3, 6 Zhiming Zou, Kenkun Liu, Le Wang, and Wei Tang. High-order graph convolutional networks for 3d human pose estimation. BMVC, 2020. 1, 2, 3, 6"},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 3425 \u2013 3435","author":"Zhao Long","year":"2019","unstructured":"Long Zhao , Xi Peng , Yu Tian , Mubbasir Kapadia ,Convolutional graph networks for 3D Human Pose Regression . Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 3425 \u2013 3435 , 2019 . 1,Two, three, five, six, zero Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia,Convolutional graph networks for 3D Human Pose Regression. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Pages 3425 \u2013 3435, 2019. 1,Two, three, five, six, zero"}],"event":{"name":"CSAI 2021: 2021 5th International Conference on Computer Science and Artificial Intelligence","acronym":"CSAI 2021","location":"Beijing China"},"container-title":["2021 5th International Conference on Computer Science and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507565","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3507548.3507565","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:26Z","timestamp":1750191146000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3507548.3507565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,4]]},"references-count":45,"alternative-id":["10.1145\/3507548.3507565","10.1145\/3507548"],"URL":"https:\/\/doi.org\/10.1145\/3507548.3507565","relation":{},"subject":[],"published":{"date-parts":[[2021,12,4]]},"assertion":[{"value":"2022-03-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}