{"id":"https://openalex.org/W3214109797","doi":"https://doi.org/10.1145/3477533","title":"Will You Ever Become Popular? Learning to Predict Virality of Dance Clips","display_name":"Will You Ever Become Popular? Learning to Predict Virality of Dance Clips","publication_year":2022,"publication_date":"2022-02-16","ids":{"openalex":"https://openalex.org/W3214109797","doi":"https://doi.org/10.1145/3477533","mag":"3214109797"},"language":"en","primary_location":{"id":"doi:10.1145/3477533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477533","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108891681","display_name":"Jiahao Wang","orcid":"https://orcid.org/0009-0000-5496-9720"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiahao Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhong Wang","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024413501","display_name":"Nina Weng","orcid":"https://orcid.org/0009-0006-4635-0438"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nina Weng","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071474901","display_name":"Tianrui Chai","orcid":"https://orcid.org/0000-0003-2557-9496"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianrui Chai","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012121355","display_name":"Annan Li","orcid":"https://orcid.org/0000-0003-3497-5052"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Annan Li","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076531452","display_name":"Faxi Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faxi Zhang","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073608824","display_name":"Sansi Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sansi Yu","raw_affiliation_strings":["Tencent, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5108891681"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.5222,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83175234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"2","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8422807455062866},{"id":"https://openalex.org/keywords/dance","display_name":"Dance","score":0.781775951385498},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6351084113121033},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6082003116607666},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.5396720170974731},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5287322998046875},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5053015351295471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48436030745506287},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4256007969379425},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.39168086647987366},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33978569507598877},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.26345929503440857},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.093109130859375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422807455062866},{"id":"https://openalex.org/C147446459","wikidata":"https://www.wikidata.org/wiki/Q11639","display_name":"Dance","level":2,"score":0.781775951385498},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6351084113121033},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6082003116607666},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5396720170974731},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5287322998046875},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5053015351295471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48436030745506287},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4256007969379425},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.39168086647987366},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33978569507598877},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.26345929503440857},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.093109130859375},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477533","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477533","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7665144123","display_name":null,"funder_award_id":"U20B2069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1756034034","https://openalex.org/W1990864775","https://openalex.org/W1999192586","https://openalex.org/W2016053056","https://openalex.org/W2037970810","https://openalex.org/W2064675550","https://openalex.org/W2080873731","https://openalex.org/W2109498513","https://openalex.org/W2143331230","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2260521078","https://openalex.org/W2274145879","https://openalex.org/W2327142087","https://openalex.org/W2341528187","https://openalex.org/W2398889210","https://openalex.org/W2507009361","https://openalex.org/W2524482439","https://openalex.org/W2550143307","https://openalex.org/W2552035314","https://openalex.org/W2732026016","https://openalex.org/W2792764867","https://openalex.org/W2796214461","https://openalex.org/W2798992493","https://openalex.org/W2883256054","https://openalex.org/W2891001585","https://openalex.org/W2891574165","https://openalex.org/W2899771611","https://openalex.org/W2903561442","https://openalex.org/W2905550006","https://openalex.org/W2939039198","https://openalex.org/W2940457086","https://openalex.org/W2946089901","https://openalex.org/W2950971447","https://openalex.org/W2962743139","https://openalex.org/W2963076818","https://openalex.org/W2963091558","https://openalex.org/W2963329331","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963524571","https://openalex.org/W2963781481","https://openalex.org/W2963820951","https://openalex.org/W2963839617","https://openalex.org/W2963840672","https://openalex.org/W2963853051","https://openalex.org/W2963867213","https://openalex.org/W2963970792","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964145825","https://openalex.org/W2970662571","https://openalex.org/W2974319653","https://openalex.org/W2990503944","https://openalex.org/W2990759760","https://openalex.org/W3012624334","https://openalex.org/W3030520226","https://openalex.org/W3035545045","https://openalex.org/W3035569984","https://openalex.org/W3035714233","https://openalex.org/W3037932933","https://openalex.org/W3082237945","https://openalex.org/W3088390354","https://openalex.org/W3090471719","https://openalex.org/W3096609285","https://openalex.org/W3101998545","https://openalex.org/W3105117297","https://openalex.org/W4255599054"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W2945899969","https://openalex.org/W2517223877","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209","https://openalex.org/W2110287964"],"abstract_inverted_index":{"Dance":[0],"challenges":[1,33],"are":[2],"going":[3],"viral":[4,134,147],"in":[5],"video":[6,136,168],"communities":[7],"like":[8],"TikTok":[9],"nowadays.":[10],"Once":[11],"a":[12,24,41,56,82,98,132],"challenge":[13],"becomes":[14],"popular,":[15],"thousands":[16],"of":[17,26,35,44,145,160],"short-form":[18],"videos":[19],"will":[20],"be":[21,178],"uploaded":[22],"within":[23],"couple":[25],"days.":[27],"Therefore,":[28],"virality":[29,74],"prediction":[30],"from":[31,123,180],"dance":[32,73,135,143,148],"is":[34,69,116],"great":[36],"commercial":[37],"value":[38],"and":[39,50,66,174],"has":[40],"wide":[42],"range":[43],"applications,":[45],"such":[46,170],"as":[47,171],"smart":[48],"recommendation":[49,173],"popularity":[51],"promotion.":[52],"In":[53],"this":[54],"article,":[55],"novel":[57],"multi-modal":[58],"framework":[59],"that":[60,89,166],"integrates":[61],"skeletal,":[62],"holistic":[63],"appearance,":[64],"facial":[65],"scenic":[67],"cues":[68],"proposed":[70,118],"for":[71],"comprehensive":[72],"prediction.":[75],"To":[76,126],"model":[77],"body":[78],"movements,":[79],"we":[80,96,130,164],"propose":[81],"pyramidal":[83],"skeleton":[84,93],"graph":[85],"convolutional":[86,101],"network":[87,102],"(PSGCN)":[88],"hierarchically":[90],"refines":[91],"spatio-temporal":[92],"graphs.":[94],"Meanwhile,":[95],"introduce":[97,131],"relational":[99],"temporal":[100,110],"(RTCN)":[103],"to":[104,119],"exploit":[105],"appearance":[106],"dynamics":[107],"with":[108],"non-local":[109],"relations.":[111],"An":[112],"attentive":[113],"fusion":[114],"approach":[115],"finally":[117],"adaptively":[120],"aggregate":[121],"predictions":[122],"different":[124],"modalities.":[125],"validate":[127],"our":[128,161,181],"method,":[129],"large-scale":[133],"(VDV)":[137],"dataset,":[138],"which":[139],"contains":[140],"over":[141],"4,000":[142],"clips":[144],"eight":[146],"challenges.":[149],"Extensive":[150],"experiments":[151],"on":[152],"the":[153,158],"VDV":[154],"dataset":[155],"well":[156],"demonstrate":[157],"effectiveness":[159],"approach.":[162],"Furthermore,":[163],"show":[165],"short":[167],"applications":[169],"multi-dimensional":[172],"action":[175],"feedback":[176],"can":[177],"derived":[179],"model.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
