{"id":"https://openalex.org/W3005726050","doi":"https://doi.org/10.1109/access.2020.2973390","title":"Robust Human Pose Estimation for Rotation via Self-Supervised Learning","display_name":"Robust Human Pose Estimation for Rotation via Self-Supervised Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3005726050","doi":"https://doi.org/10.1109/access.2020.2973390","mag":"3005726050"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2973390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995541.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995541.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069303383","display_name":"Kimin Yun","orcid":"https://orcid.org/0000-0002-4493-9437"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kimin Yun","raw_affiliation_strings":["Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4493-9437","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052518128","display_name":"Jongyoul Park","orcid":"https://orcid.org/0000-0002-4878-4129"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongyoul Park","raw_affiliation_strings":["Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4878-4129","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, South Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021065462","display_name":"Jungchan Cho","orcid":"https://orcid.org/0000-0002-3859-1702"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungchan Cho","raw_affiliation_strings":["Department of Software, Gachon University, Seongnam, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3859-1702","affiliations":[{"raw_affiliation_string":"Department of Software, Gachon University, Seongnam, South Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7343,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84824168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"32502","last_page":"32517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/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/robustness","display_name":"Robustness (evolution)","score":0.8241829872131348},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7533317804336548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7407789826393127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897453665733337},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6249683499336243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5201092958450317},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5051811337471008},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4792637526988983},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44490060210227966},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43686604499816895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26425841450691223},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1193423867225647}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8241829872131348},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7533317804336548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7407789826393127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897453665733337},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6249683499336243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5201092958450317},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5051811337471008},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4792637526988983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44490060210227966},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43686604499816895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26425841450691223},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1193423867225647},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2973390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995541.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28cf850180a54fe1ad4b43fcbbe8b410","is_oa":true,"landing_page_url":"https://doaj.org/article/28cf850180a54fe1ad4b43fcbbe8b410","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 32502-32517 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2973390","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2973390","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08995541.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1292010191","display_name":null,"funder_award_id":"B0101-15-0266","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G1523036375","display_name":null,"funder_award_id":"2020-0-00004","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G2415333313","display_name":null,"funder_award_id":"No.2020-0-00004","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G261168191","display_name":null,"funder_award_id":"B0101-15-0266","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5130295011","display_name":null,"funder_award_id":"B0101-15-0266","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G5859951594","display_name":null,"funder_award_id":"2020-0-00004","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G8936703760","display_name":null,"funder_award_id":"2020-0-00004","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005726050.pdf","grobid_xml":"https://content.openalex.org/works/W3005726050.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1994529670","https://openalex.org/W1995127855","https://openalex.org/W2009543464","https://openalex.org/W2074587583","https://openalex.org/W2080873731","https://openalex.org/W2108598243","https://openalex.org/W2113325037","https://openalex.org/W2155686036","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2483862638","https://openalex.org/W2559085405","https://openalex.org/W2604784247","https://openalex.org/W2612642641","https://openalex.org/W2742737904","https://openalex.org/W2761048735","https://openalex.org/W2785325870","https://openalex.org/W2788865504","https://openalex.org/W2889332130","https://openalex.org/W2896489609","https://openalex.org/W2909671697","https://openalex.org/W2914446904","https://openalex.org/W2916798096","https://openalex.org/W2948467580","https://openalex.org/W2960131371","https://openalex.org/W2963076818","https://openalex.org/W2963197583","https://openalex.org/W2963402313","https://openalex.org/W2963781481","https://openalex.org/W2964221239","https://openalex.org/W2965326519","https://openalex.org/W2982376094","https://openalex.org/W3103438692","https://openalex.org/W4293857795","https://openalex.org/W4388290870","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6697925102","https://openalex.org/W6722076910","https://openalex.org/W6744822097","https://openalex.org/W6747795875","https://openalex.org/W6747899497","https://openalex.org/W6750247337","https://openalex.org/W6750378959","https://openalex.org/W6754771128","https://openalex.org/W6756041368"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W2964084369"],"abstract_inverted_index":{"The":[0],"detection":[1],"of":[2,8,16,27,35,73,84,140,150,165,179,189,216,228],"abnormal":[3],"postures,":[4],"such":[5],"as":[6],"that":[7],"a":[9,13,36,99,107,116,128,132,136,141],"reclining":[10],"person,":[11],"is":[12,144,231],"crucial":[14],"part":[15],"visual":[17],"surveillance.":[18],"Further,":[19],"even":[20],"regular":[21],"poses":[22],"can":[23],"appear":[24],"rotated":[25],"because":[26],"incongruity":[28],"between":[29],"the":[30,33,71,82,122,151,163,166,177,186,190,196,200,205,214,221,225,229],"image":[31],"and":[32,57,119,195,224],"angle":[34],"pre-installed":[37],"camera.":[38],"However,":[39],"most":[40],"existing":[41],"human":[42,62,85,101,192],"pose":[43,63,86,102,193],"estimation":[44,64,87,103],"methods":[45],"focus":[46],"on":[47,81,115,131,172],"small":[48],"rotational":[49,68,89,112,159,187],"changes,":[50],"i.e.,":[51],"those":[52,125],"less":[53],"than":[54,210,235],"50":[55],"degrees,":[56],"they":[58],"seldom":[59],"consider":[60],"robust":[61,100,155],"for":[65,88,109,157],"more":[66,209,234],"drastic":[67],"changes.":[69,160],"To":[70],"best":[72],"our":[74],"knowledge,":[75],"there":[76],"have":[77],"been":[78],"no":[79],"reports":[80],"robustness":[83,164],"changes":[90,113],"through":[91],"large":[92],"angles.":[93],"In":[94],"this":[95],"study,":[96],"we":[97],"propose":[98],"method":[104,118,168,207],"by":[105,120,147,175,233],"creating":[106],"path":[108,129],"learning":[110],"new":[111],"based":[114,130],"self-supervised":[117],"combining":[121],"results":[123,156],"with":[124,169],"obtained":[126],"from":[127],"supervised":[133],"method.":[134,198],"Furthermore,":[135],"combination":[137],"module":[138],"composed":[139],"convolutional":[142],"layer":[143],"trained":[145],"complementarily":[146],"both":[148],"paths":[149],"network":[152],"to":[153,220],"produce":[154],"various":[158],"We":[161,183],"demonstrate":[162],"proposed":[167,197,206],"extensive":[170],"experiments":[171],"images":[173],"generated":[174],"rotating":[176],"elements":[178],"standard":[180,226],"benchmark":[181],"datasets.":[182],"fully":[184],"analyze":[185],"characteristics":[188],"state-of-the-art":[191,222],"estimators":[194],"On":[199],"COCO":[201],"Keypoint":[202],"Detection":[203],"dataset,":[204],"attains":[208],"15%":[211],"improvement":[212],"in":[213],"mean":[215],"average":[217],"precision":[218],"compared":[219],"method,":[223],"deviation":[227],"performance":[230],"improved":[232],"4.7":[236],"times.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}