{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T13:54:05Z","timestamp":1778162045531,"version":"3.51.4"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61379067"],"award-info":[{"award-number":["61379067"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001381","name":"National Research Foundation Singapore","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategic Capability Research Centres Funding Initiative"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tmm.2020.2981989","type":"journal-article","created":{"date-parts":[[2020,3,19]],"date-time":"2020-03-19T21:44:48Z","timestamp":1584654288000},"page":"497-509","source":"Crossref","is-referenced-by-count":104,"title":["DeepDance: Music-to-Dance Motion Choreography With Adversarial Learning"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0739-0844","authenticated-orcid":false,"given":"Guofei","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1239-4428","authenticated-orcid":false,"given":"Yongkang","family":"Wong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1109-5028","authenticated-orcid":false,"given":"Zhiyong","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4846-2015","authenticated-orcid":false,"given":"Mohan S.","family":"Kankanhalli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2709-396X","authenticated-orcid":false,"given":"Weidong","family":"Geng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangdong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.2991\/hsmet-17.2017.69"},{"key":"ref71","first-page":"6626","article-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium","author":"heusel","year":"2017","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/5254.708428"},{"key":"ref39","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"0","journal-title":"Proc Int Conf Learn Representation"},{"key":"ref38","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref33","first-page":"1","article-title":"GrooveNet: Real-time music-driven dance movement generation using artificial neural networks","volume":"8","author":"alemi","year":"2017","journal-title":"Networks"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1142\/S0219843618500238"},{"key":"ref31","first-page":"175","article-title":"A hidden markov model for predicting transmembrane helices in protein sequences","author":"sonnhammer","year":"1998","journal-title":"Proc Int Conf Intell Syst Molecular Biol"},{"key":"ref30","first-page":"177","article-title":"Music content driven automated choreography with beat-wise motion connectivity constraints","author":"fukayama","year":"2015","journal-title":"Proc Sound Music Comput Conf"},{"key":"ref37","first-page":"3581","article-title":"Dancing to music","author":"lee","year":"2019","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240526"},{"key":"ref35","article-title":"Listen to dance: Music-driven choreography generation using autoregressive encoder-decoder network","author":"lee","year":"2018","journal-title":"arXiv 1811 00818"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2019.8851872"},{"key":"ref60","article-title":"Youtube-8M: A large-scale video classification benchmark","author":"abu-el-haija","year":"2016","journal-title":"arXiv 1609 08675"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.222"},{"key":"ref61","first-page":"1736","article-title":"Articulated pose estimation by a graphical model with image dependent pairwise relations","author":"chen","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_2"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882283"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351052"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/cav.314"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.256"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00794"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2011.6011912"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/ICITEED.2013.6676202"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s004260100071"},{"key":"ref69","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bica.2015.09.009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.497"},{"key":"ref22","first-page":"1","article-title":"QuaterNet: A quaternion-based recurrent model for human motion","author":"pavllo","year":"0","journal-title":"Proc Brit Mach Vision Conf"},{"key":"ref21","first-page":"272","article-title":"Generative choreography using deep learning","author":"crnkovic-friis","year":"2016","journal-title":"Proc Int Conf Comput Creativity"},{"key":"ref24","first-page":"201","article-title":"Learning to synthesize arm motion to music by example","author":"oore","year":"0","journal-title":"Proc Int Conf Central Eur Comput Graph Visualization Comput Vision"},{"key":"ref23","first-page":"205","article-title":"Autonomous robot dancing driven by beats and emotions of music","author":"xia","year":"2012","journal-title":"Proc 1st Int Conf Autonomous Agents Multiagent Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2012.6315287"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2197\/ipsjtrans.1.80"},{"key":"ref50","first-page":"14","article-title":"1. Why do we like to dance and sing","author":"malloch","year":"2005","journal-title":"Thinking in Four Dimensions Creativity and Cognition in Contemporary Dance"},{"key":"ref51","article-title":"Sequential deep learning for dancing motion generation","author":"yalta","year":"2016"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2631881"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12598"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2755566"},{"key":"ref56","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representation"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2017.2690339"},{"key":"ref54","first-page":"1345","article-title":"Modeling human motion using binary latent variables","author":"taylor","year":"2007","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.1998.10487493"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2181492"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1109\/TVCG.2011.73","article-title":"Example-based automatic music-driven conventional dance motion synthesis","volume":"18","author":"fan","year":"2012","journal-title":"IEEE Trans Visualization Comput Graph"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-012-1288-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1177\/10298649000030S103"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2016.09.012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.bica.2016.07.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2635030"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2360793"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.494"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.573"},{"key":"ref4","first-page":"141","article-title":"Creative cognition in choreography","author":"kirsh","year":"0","journal-title":"Proc Int Conf Comput Creativity"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/713694259"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/169059.169113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2018.01448"},{"key":"ref8","first-page":"53","article-title":"Computational model of human creativity in dance choreography","author":"nahrstedt","year":"0","journal-title":"Proc AAAI Spring Symp Creative Intell Syst"},{"key":"ref49","first-page":"8209","article-title":"Dense 3D object reconstruction from a single depth view","volume":"41","author":"yang","year":"2018","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/EGUK.2002.1011270"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2004.1301641"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref45","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"J Mach Learn Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00551"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3126686.3126723"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2885235"},{"key":"ref44","first-page":"469","article-title":"Coupled generative adversarial networks","author":"liu","year":"2016","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9296985\/09042236.pdf?arnumber=9042236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:51:19Z","timestamp":1652194279000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9042236\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/tmm.2020.2981989","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}