{"id":"https://openalex.org/W4392904159","doi":"https://doi.org/10.1109/icassp48485.2024.10447604","title":"TransCycle: A Data Augmentation Method for 3D Human Pose Estimation","display_name":"TransCycle: A Data Augmentation Method for 3D Human Pose Estimation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904159","doi":"https://doi.org/10.1109/icassp48485.2024.10447604"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447604","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100680815","display_name":"Bowei Zhang","orcid":"https://orcid.org/0000-0002-3819-1370"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bowei Zhang","raw_affiliation_strings":["Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083758220","display_name":"Rongting Xu","orcid":"https://orcid.org/0000-0001-7292-9271"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongting Xu","raw_affiliation_strings":["Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China","institution_ids":["https://openalex.org/I170172562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049671526","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0002-2485-3783"},"institutions":[{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China"],"affiliations":[{"raw_affiliation_string":"Guizhou University of Finance and Economics,School of Information,Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou,Guiyang,China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Key Laboratory of Blockchain and Fintech of Department of Education of Guizhou, School of Information, Guizhou University of Finance and Economics, Guiyang, China","institution_ids":["https://openalex.org/I170172562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100680815"],"corresponding_institution_ids":["https://openalex.org/I170172562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02705463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3285","last_page":"3289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9962000250816345,"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/pose","display_name":"Pose","score":0.8621628284454346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.811141312122345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.712554931640625},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.6845373511314392},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6643631458282471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6198659539222717},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5992861390113831},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5903422236442566},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5463098883628845},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5460321307182312},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5186589956283569},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4508022964000702},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4182506203651428},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06897246837615967}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8621628284454346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.811141312122345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.712554931640625},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.6845373511314392},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6643631458282471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6198659539222717},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5992861390113831},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5903422236442566},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5463098883628845},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5460321307182312},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5186589956283569},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4508022964000702},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4182506203651428},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06897246837615967},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447604","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10447604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326674","display_name":"Department of Education of Guizhou Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2101032778","https://openalex.org/W2796290181","https://openalex.org/W2797184202","https://openalex.org/W2809139245","https://openalex.org/W2894766094","https://openalex.org/W2927558373","https://openalex.org/W2952773607","https://openalex.org/W2982275673","https://openalex.org/W3013529009","https://openalex.org/W3044670941","https://openalex.org/W3099457648","https://openalex.org/W3104515094","https://openalex.org/W3104726354","https://openalex.org/W3213974477","https://openalex.org/W3214047808","https://openalex.org/W3216759837","https://openalex.org/W4214679856","https://openalex.org/W4286611287","https://openalex.org/W4294643831","https://openalex.org/W4312406765"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W3165753266"],"abstract_inverted_index":{"The":[0],"existing":[1],"3D":[2,49,71,78,118],"human":[3,11,40,50,61,72,79,119],"pose":[4,12,41,51,73,80,120],"estimation":[5,74,121],"solutions":[6],"rely":[7,100],"heavily":[8],"on":[9,101,123],"the":[10,38,95,116],"data":[13,42,97],"collected":[14],"by":[15],"motion":[16,23,62,104],"capture":[17,24,105],"devices":[18,25],"to":[19,34],"train":[20],"models.":[21],"However,":[22],"are":[26],"expensive":[27],"and":[28,76,94,125],"their":[29],"use":[30],"is":[31],"often":[32],"limited":[33],"indoor":[35],"environments,":[36],"making":[37],"final":[39],"unsatisfactory.":[43],"Therefore,":[44],"we":[45],"propose":[46],"a":[47,60,70,77,89],"single-cycle":[48],"model":[52,75],"training":[53,92],"scheme":[54,58],"called":[55,66],"TransCycle.":[56],"This":[57],"includes":[59],"generation":[63],"adversarial":[64],"network":[65],"Trans-PoseGAN,":[67],"which":[68],"allows":[69],"sequence":[81],"generator":[82],"learn":[83],"together.":[84],"These":[85],"two":[86],"components":[87],"form":[88],"complementary":[90],"cycle":[91],"process,":[93],"generated":[96],"does":[98],"not":[99],"any":[102],"other":[103],"devices.":[106],"In":[107],"experiments,":[108],"our":[109],"proposed":[110],"method":[111,122],"achieved":[112],"better":[113],"results":[114],"than":[115],"original":[117],"HumanPose3.6M":[124],"MPI-INF-3DHP.":[126]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
