{"id":"https://openalex.org/W2904988869","doi":"https://doi.org/10.1109/tmm.2018.2885235","title":"Structure-Constrained Motion Sequence Generation","display_name":"Structure-Constrained Motion Sequence Generation","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2904988869","doi":"https://doi.org/10.1109/tmm.2018.2885235","mag":"2904988869"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2885235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2885235","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5048907728","display_name":"Yichao Yan","orcid":"https://orcid.org/0000-0003-3209-8965"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichao Yan","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3209-8965","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7339-028X","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739052","display_name":"Wendong Zhang","orcid":"https://orcid.org/0000-0001-9837-8930"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Zhang","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9837-8930","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061294954","display_name":"Jingwei Xu","orcid":"https://orcid.org/0000-0001-8122-7028"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Xu","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019708391","display_name":"Xiaokang Yang","orcid":"https://orcid.org/0000-0003-4029-3322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaokang Yang","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, and the SJTU-UCLA Joint Center for Machine Perception and Inference, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.8479,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79838839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"21","issue":"7","first_page":"1799","last_page":"1812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8554176688194275},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.8029300570487976},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396214962005615},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.616182804107666},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5585830807685852},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.550468385219574},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5169431567192078},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5015206336975098},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.49101877212524414},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4867384433746338},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4342691898345947},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42867010831832886},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41559818387031555},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4141022264957428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3802372217178345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8554176688194275},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8029300570487976},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396214962005615},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.616182804107666},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5585830807685852},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.550468385219574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5169431567192078},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5015206336975098},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.49101877212524414},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4867384433746338},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4342691898345947},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42867010831832886},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41559818387031555},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4141022264957428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3802372217178345},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2018.2885235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2885235","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4083674505","display_name":null,"funder_award_id":"61502301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6088092935","display_name":null,"funder_award_id":"61521062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G639214180","display_name":null,"funder_award_id":"61527804","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":113,"referenced_works":["https://openalex.org/W1505678217","https://openalex.org/W1522301498","https://openalex.org/W1568514080","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1950788856","https://openalex.org/W1959608418","https://openalex.org/W2016053056","https://openalex.org/W2032481801","https://openalex.org/W2034328688","https://openalex.org/W2036252733","https://openalex.org/W2058256495","https://openalex.org/W2064675550","https://openalex.org/W2065371844","https://openalex.org/W2080873731","https://openalex.org/W2095016389","https://openalex.org/W2098813977","https://openalex.org/W2099471712","https://openalex.org/W2100774779","https://openalex.org/W2101032778","https://openalex.org/W2104941942","https://openalex.org/W2113325037","https://openalex.org/W2114484845","https://openalex.org/W2116270009","https://openalex.org/W2116435618","https://openalex.org/W2118688707","https://openalex.org/W2125389028","https://openalex.org/W2127006916","https://openalex.org/W2133716807","https://openalex.org/W2161565164","https://openalex.org/W2161634108","https://openalex.org/W2164942161","https://openalex.org/W2173520492","https://openalex.org/W2271840356","https://openalex.org/W2295660824","https://openalex.org/W2331128040","https://openalex.org/W2395639500","https://openalex.org/W2470142083","https://openalex.org/W2508429489","https://openalex.org/W2513140567","https://openalex.org/W2520707650","https://openalex.org/W2521028896","https://openalex.org/W2530258459","https://openalex.org/W2559085405","https://openalex.org/W2580360036","https://openalex.org/W2583901669","https://openalex.org/W2584009249","https://openalex.org/W2589335264","https://openalex.org/W2593768305","https://openalex.org/W2606862842","https://openalex.org/W2613192286","https://openalex.org/W2615413256","https://openalex.org/W2619034550","https://openalex.org/W2725422033","https://openalex.org/W2751445731","https://openalex.org/W2764138706","https://openalex.org/W2769102608","https://openalex.org/W2949099979","https://openalex.org/W2962741254","https://openalex.org/W2962793481","https://openalex.org/W2962841471","https://openalex.org/W2963045453","https://openalex.org/W2963073614","https://openalex.org/W2963092440","https://openalex.org/W2963125871","https://openalex.org/W2963226019","https://openalex.org/W2963253230","https://openalex.org/W2963373786","https://openalex.org/W2963402657","https://openalex.org/W2963547393","https://openalex.org/W2963567641","https://openalex.org/W2963684088","https://openalex.org/W2964121744","https://openalex.org/W2964151830","https://openalex.org/W2964270168","https://openalex.org/W2964337551","https://openalex.org/W2964345931","https://openalex.org/W2991327923","https://openalex.org/W3102937540","https://openalex.org/W4237416936","https://openalex.org/W4249279051","https://openalex.org/W4294037149","https://openalex.org/W4294306266","https://openalex.org/W4294554810","https://openalex.org/W4297772798","https://openalex.org/W4298076649","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6634221342","https://openalex.org/W6637373629","https://openalex.org/W6639118987","https://openalex.org/W6640754710","https://openalex.org/W6640963894","https://openalex.org/W6674775138","https://openalex.org/W6677326919","https://openalex.org/W6677477928","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6691096134","https://openalex.org/W6694517276","https://openalex.org/W6712884540","https://openalex.org/W6713563955","https://openalex.org/W6718140377","https://openalex.org/W6718379498","https://openalex.org/W6720244596","https://openalex.org/W6725923168","https://openalex.org/W6726983635","https://openalex.org/W6727501944","https://openalex.org/W6732347795","https://openalex.org/W6735992252","https://openalex.org/W6738465933","https://openalex.org/W6738467200","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W4243161226","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2356918560","https://openalex.org/W1968481813","https://openalex.org/W2392886708"],"abstract_inverted_index":{"Video":[0],"generation":[1,64,162,193],"is":[2,87,111,120,168],"a":[3,57,83,99,123,137,142,147],"challenging":[4],"task":[5,163],"due":[6,170],"to":[7,50,73,78,140,164,171,200],"the":[8,13,19,25,69,132,152,160,172],"extremely":[9],"high-dimensional":[10,38,104],"distribution":[11],"of":[12,27,35,103,154,174],"solution":[14,20],"space.":[15],"Good":[16],"constraints":[17,49],"in":[18],"domain":[21],"would":[22],"thus":[23],"reduce":[24],"difficulty":[26,153],"approximating":[28],"optimal":[29],"solutions.":[30],"In":[31,66],"this":[32,52,90],"paper,":[33],"instead":[34,158],"directly":[36],"generating":[37,108,115,155],"video":[39,63,105,161],"data,":[40,106],"we":[41,55,130],"propose":[42,56],"using":[43],"object":[44],"landmarks":[45],"as":[46,98,136],"explicit":[47],"structure":[48,101,138],"address":[51],"issue.":[53],"Specifically,":[54],"two-stage":[58],"framework":[59,150],"for":[60,89],"an":[61],"action-conditioned":[62],"task.":[65],"our":[67,183],"framework,":[68],"first":[70],"stage":[71,119],"aims":[72],"generate":[74],"landmark":[75,93,109,134],"sequences":[76,110],"according":[77],"predefined":[79],"motion":[80,192,202],"types,":[81],"and":[82,107,129,157],"recurrent":[84],"model":[85,184],"(RNN/LSTM)":[86],"adopted":[88],"purpose.":[91],"The":[92,117,178],"sequence":[94,135],"can":[95,197],"be":[96,198],"regarded":[97],"low-dimensional":[100],"embedding":[102],"much":[112],"easier":[113],"than":[114],"videos.":[116],"second":[118],"inspired":[121],"by":[122],"conditional":[124],"generative":[125],"adversarial":[126],"network":[127],"(CGAN),":[128],"take":[131],"generated":[133],"condition":[139],"learn":[141],"landmark-to-image":[143],"translation":[144,149],"network.":[145],"Such":[146],"one-to-one":[148],"avoids":[151],"videos":[156],"transfers":[159],"image":[165],"generation,":[166],"which":[167],"resolvable":[169],"maturity":[173],"current":[175],"GAN-based":[176],"models.":[177],"experimental":[179],"results":[180,189],"demonstrate":[181],"that":[182],"not":[185],"only":[186],"achieves":[187],"promising":[188],"on":[190],"rigid/nonrigid":[191],"tasks":[194],"but":[195],"also":[196],"extended":[199],"multiobject":[201],"situations.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}