{"id":"https://openalex.org/W4304091782","doi":"https://doi.org/10.1145/3503161.3547941","title":"Multi-view Gait Video Synthesis","display_name":"Multi-view Gait Video Synthesis","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304091782","doi":"https://doi.org/10.1145/3503161.3547941"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017234039","display_name":"Weilai Xiang","orcid":"https://orcid.org/0000-0002-0067-5329"},"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":"Weilai Xiang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116016384","display_name":"Hongyu Yang","orcid":"https://orcid.org/0000-0001-5763-1629"},"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":"Hongyu Yang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056972984","display_name":"Di Huang","orcid":"https://orcid.org/0000-0002-2412-9330"},"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":"Di Huang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115589096","display_name":"Yunhong Wang","orcid":null},"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":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.9783,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7356993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"6783","last_page":"6791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9955999851226807,"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":0.8079917430877686},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8050570487976074},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.701054573059082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6492698788642883},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6072181463241577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5921418070793152},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5247721076011658},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4556080400943756},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4456157684326172},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06828770041465759}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8079917430877686},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8050570487976074},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.701054573059082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492698788642883},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6072181463241577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5921418070793152},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5247721076011658},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4556080400943756},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4456157684326172},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06828770041465759},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C42407357","wikidata":"https://www.wikidata.org/wiki/Q521","display_name":"Physiology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G5122547722","display_name":null,"funder_award_id":"62022011, 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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1561782558","https://openalex.org/W1901129140","https://openalex.org/W1967554269","https://openalex.org/W2063626761","https://openalex.org/W2103869071","https://openalex.org/W2126680226","https://openalex.org/W2131338307","https://openalex.org/W2169908475","https://openalex.org/W2194775991","https://openalex.org/W2322772590","https://openalex.org/W2331128040","https://openalex.org/W2567959389","https://openalex.org/W2739325416","https://openalex.org/W2740546229","https://openalex.org/W2798777978","https://openalex.org/W2806609126","https://openalex.org/W2807461033","https://openalex.org/W2896868164","https://openalex.org/W2917231990","https://openalex.org/W2962974533","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963150697","https://openalex.org/W2963301258","https://openalex.org/W2963589527","https://openalex.org/W2963814095","https://openalex.org/W2981626792","https://openalex.org/W2984529706","https://openalex.org/W3010302077","https://openalex.org/W3034950620","https://openalex.org/W3035400973","https://openalex.org/W3035492592","https://openalex.org/W3101257721","https://openalex.org/W3127230993"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2981954115"],"abstract_inverted_index":{"This":[0,36],"paper":[1],"investigates":[2],"a":[3,20,23,73],"new":[4],"fine-grained":[5],"video":[6,21],"generation":[7,16],"task,":[8],"namely":[9],"Multi-view":[10],"Gait":[11],"Video":[12],"Synthesis,":[13],"where":[14],"the":[15,34,59,63,81,98,110,124,141,153,160],"model":[17],"works":[18],"on":[19],"of":[22,26,33,65,101,155],"walking":[24],"human":[25,90,167],"arbitrary":[27],"viewpoint":[28],"and":[29,68,93,104,116],"creates":[30],"multi-view":[31],"renderings":[32],"subject.":[35],"task":[37,162],"is":[38,107,127,159],"particularly":[39],"challenging,":[40],"as":[41],"it":[42],"requires":[43],"synthesizing":[44],"visually":[45],"plausible":[46],"results,":[47],"while":[48],"simultaneously":[49],"preserving":[50],"discriminative":[51],"gait":[52,105,137,145],"cues":[53],"subject":[54],"to":[55,79,129,163],"identification.":[56],"To":[57,152],"tackle":[58],"challenge":[60],"caused":[61],"by":[62,148],"entanglement":[64],"viewpoint,":[66],"texture,":[67],"body":[69],"structure,":[70],"we":[71],"present":[72],"network":[74],"with":[75,169],"two":[76,87],"collaborative":[77],"branches":[78],"decouple":[80],"novel":[82],"view":[83],"rendering":[84],"process":[85],"into":[86,109],"streams":[88],"for":[89,113,166],"appearances":[91],"(texture)":[92],"silhouettes":[94],"(structure),":[95],"respectively.":[96],"Additionally,":[97],"prior":[99],"knowledge":[100],"person":[102],"re-identification":[103],"recognition":[106,138,146],"incorporated":[108],"training":[111],"loss":[112],"more":[114],"adequate":[115],"accurate":[117],"dynamic":[118],"details.":[119],"Experimental":[120],"results":[121],"show":[122],"that":[123],"presented":[125],"method":[126,142],"able":[128],"achieve":[130],"promising":[131],"success":[132],"rates":[133],"when":[134],"attacking":[135],"state-of-the-art":[136],"models.":[139],"Furthermore,":[140],"can":[143],"improve":[144],"systems":[147],"effective":[149],"data":[150],"augmentation.":[151],"best":[154],"our":[156],"knowledge,":[157],"this":[158],"first":[161],"manipulate":[164],"views":[165],"videos":[168],"person-specific":[170],"behavioral":[171],"constraints.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}