{"id":"https://openalex.org/W2981876524","doi":"https://doi.org/10.1145/3343031.3350937","title":"Mocycle-GAN","display_name":"Mocycle-GAN","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981876524","doi":"https://doi.org/10.1145/3343031.3350937","mag":"2981876524"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5119246940","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-2762-7543"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Chen","raw_affiliation_strings":["University of Science and Technology of China & JD AI Research, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & JD AI Research, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085403640","display_name":"Yingwei Pan","orcid":"https://orcid.org/0000-0002-4344-8898"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwei Pan","raw_affiliation_strings":["University of Science and Technology of China & JD AI Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & JD AI Research, Beijing, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088760097","display_name":"Ting Yao","orcid":"https://orcid.org/0000-0001-7587-101X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yao","raw_affiliation_strings":["University of Science and Technology of China & JD AI Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & JD AI Research, Beijing, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071510961","display_name":"Xinmei Tian","orcid":"https://orcid.org/0000-0002-5952-8753"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmei Tian","raw_affiliation_strings":["University of Science and Technology of China & JD AI Research, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & JD AI Research, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["University of Science and Technology of China & JD AI Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China & JD AI Research, Beijing, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5119246940"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.7453,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.94740037,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"647","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9988999962806702,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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":0.792397141456604},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.7339778542518616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7259413003921509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6788893938064575},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6108430027961731},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5841516256332397},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5154350996017456},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.506239116191864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49764135479927063},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.46034836769104004},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.452690452337265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1308276355266571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792397141456604},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.7339778542518616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7259413003921509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6788893938064575},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6108430027961731},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5841516256332397},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5154350996017456},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.506239116191864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49764135479927063},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.46034836769104004},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.452690452337265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1308276355266571},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3350937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1573040851","https://openalex.org/W1903029394","https://openalex.org/W2331128040","https://openalex.org/W2344328033","https://openalex.org/W2475287302","https://openalex.org/W2538752244","https://openalex.org/W2556388456","https://openalex.org/W2560474170","https://openalex.org/W2603351312","https://openalex.org/W2605183293","https://openalex.org/W2612034718","https://openalex.org/W2733548594","https://openalex.org/W2740546229","https://openalex.org/W2807033398","https://openalex.org/W2896701052","https://openalex.org/W2896702065","https://openalex.org/W2949099979","https://openalex.org/W2963073614","https://openalex.org/W2963525668","https://openalex.org/W2963753226","https://openalex.org/W2963784072","https://openalex.org/W2964033924","https://openalex.org/W2964047820","https://openalex.org/W3102542372","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W851866491","https://openalex.org/W2687972263","https://openalex.org/W2029249305","https://openalex.org/W4206673776","https://openalex.org/W2132969715","https://openalex.org/W2158825824","https://openalex.org/W578691330","https://openalex.org/W2039023179","https://openalex.org/W2395873996","https://openalex.org/W2511137960"],"abstract_inverted_index":{"Unsupervised":[0],"image-to-image":[1,39],"translation":[2,137,145],"is":[3,42],"the":[4,16,33,56,61,147],"task":[5],"of":[6,18,35,122,149],"translating":[7],"an":[8,135],"image":[9],"from":[10,38,55],"one":[11],"domain":[12],"to":[13,25,29,40,83,170],"another":[14],"in":[15,50,64,91],"absence":[17],"any":[19],"paired":[20],"training":[21],"examples":[22],"and":[23,76,88,129,141,143,160,163,183],"tends":[24],"be":[26,74],"more":[27],"applicable":[28],"practical":[30],"applications.":[31],"Nevertheless,":[32],"extension":[34],"such":[36],"synthesis":[37],"video-to-video":[41],"not":[43,59],"trivial":[44],"especially":[45],"when":[46,168],"capturing":[47],"spatio-temporal":[48],"structures":[49],"videos.":[51],"The":[52],"difficulty":[53],"originates":[54],"aspect":[57],"that":[58,107],"only":[60],"visual":[62],"appearance":[63,86],"each":[65],"frame":[66,140],"but":[67],"also":[68],"motion":[69,110,144,150],"between":[70,127,151],"consecutive":[71,152],"frames":[72],"should":[73],"realistic":[75],"consistent":[77],"across":[78],"transformation.":[79],"This":[80],"motivates":[81],"us":[82],"explore":[84],"both":[85,139,181],"structure":[87],"temporal":[89],"continuity":[90],"video":[92,114],"synthesis.":[93],"In":[94],"this":[95],"paper,":[96],"we":[97,175],"present":[98],"a":[99],"new":[100],"Motion-guided":[101],"Cycle":[102],"GAN,":[103],"dubbed":[104],"as":[105],"Mocycle-GAN,":[106],"novelly":[108],"integrates":[109],"estimation":[111],"into":[112],"unpaired":[113],"translator.":[115],"Technically,":[116],"Mocycle-GAN":[117,179],"capitalizes":[118],"on":[119,138,158],"three":[120],"types":[121],"constrains:":[123],"adversarial":[124],"constraint":[125],"discriminating":[126],"synthetic":[128],"real":[130],"frame,":[131],"cycle":[132],"consistency":[133],"encouraging":[134],"inverse":[136],"motion,":[142],"validating":[146],"transfer":[148],"frames.":[153],"Extensive":[154],"experiments":[155],"are":[156,166],"conducted":[157],"video-to-labels":[159],"labels-to-video":[161],"translation,":[162],"superior":[164],"results":[165],"reported":[167],"comparing":[169],"state-of-the-art":[171],"methods.":[172],"More":[173],"remarkably,":[174],"qualitatively":[176],"demonstrate":[177],"our":[178],"for":[180],"flower-to-flower":[182],"ambient":[184],"condition":[185],"transfer.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-01T00:00:00"}