{"id":"https://openalex.org/W4295214911","doi":"https://doi.org/10.3390/s22186821","title":"Cofopose: Conditional 2D Pose Estimation with Transformers","display_name":"Cofopose: Conditional 2D Pose Estimation with Transformers","publication_year":2022,"publication_date":"2022-09-09","ids":{"openalex":"https://openalex.org/W4295214911","doi":"https://doi.org/10.3390/s22186821","pmid":"https://pubmed.ncbi.nlm.nih.gov/36146170"},"language":"en","primary_location":{"id":"doi:10.3390/s22186821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186821","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6821/pdf?version=1662712827","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/18/6821/pdf?version=1662712827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035217566","display_name":"Evans Aidoo","orcid":"https://orcid.org/0000-0002-8682-8022"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Evans Aidoo","raw_affiliation_strings":["School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406563","display_name":"Xun Wang","orcid":"https://orcid.org/0000-0001-5566-4689"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xun Wang","raw_affiliation_strings":["School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101715620","display_name":"Zhenguang Liu","orcid":"https://orcid.org/0000-0002-7981-9873"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenguang Liu","raw_affiliation_strings":["School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065387302","display_name":"Edwin Kwadwo Tenagyei","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Edwin Kwadwo Tenagyei","raw_affiliation_strings":["School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112623712","display_name":"Zhen Qin","orcid":"https://orcid.org/0000-0002-6943-2288"},"institutions":[{"id":"https://openalex.org/I28046988","display_name":"Kwame Nkrumah University of Science and Technology","ror":"https://ror.org/00cb23x68","country_code":"GH","type":"education","lineage":["https://openalex.org/I28046988"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"Kwabena Owusu-Agyemang","raw_affiliation_strings":["Department of Computer Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi 03220, Ghana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi 03220, Ghana","institution_ids":["https://openalex.org/I28046988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012183652","display_name":"Seth Larweh Kodjiku","orcid":"https://orcid.org/0000-0003-2871-5860"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Seth Larweh Kodjiku","raw_affiliation_strings":["School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China"],"raw_orcid":"https://orcid.org/0000-0003-2871-5860","affiliations":[{"raw_affiliation_string":"School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039845163","display_name":"Victor Nonso Ejianya","orcid":"https://orcid.org/0000-0001-7717-4912"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Victor Nonso Ejianya","raw_affiliation_strings":["School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer & Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022953025","display_name":"Esther Stacy E. B. Aggrey","orcid":"https://orcid.org/0000-0002-1657-7774"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Esther Stacy E. B. Aggrey","raw_affiliation_strings":["School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5106406563"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7113,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7054842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"22","issue":"18","first_page":"6821","last_page":"6821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9945999979972839,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/transformer","display_name":"Transformer","score":0.6799576282501221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571354269981384},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.643879234790802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6329694986343384},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5834866166114807},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5671199560165405},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43438562750816345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4289481043815613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35540294647216797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35194945335388184},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16710755228996277},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07041341066360474}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6799576282501221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571354269981384},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.643879234790802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6329694986343384},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5834866166114807},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5671199560165405},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43438562750816345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4289481043815613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35540294647216797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35194945335388184},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16710755228996277},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07041341066360474},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22186821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186821","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6821/pdf?version=1662712827","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36146170","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36146170","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:cfa0639a61f647e6936a0cad8c34a11e","is_oa":true,"landing_page_url":"https://doaj.org/article/cfa0639a61f647e6936a0cad8c34a11e","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":"Sensors, Vol 22, Iss 18, p 6821 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/18/6821/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22186821","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 18; Pages: 6821","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9505025","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9505025","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22186821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22186821","pdf_url":"https://www.mdpi.com/1424-8220/22/18/6821/pdf?version=1662712827","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.699999988079071,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G4909091124","display_name":null,"funder_award_id":"61976188","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7953486176","display_name":null,"funder_award_id":"61902348","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4295214911.pdf","grobid_xml":"https://content.openalex.org/works/W4295214911.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1936750108","https://openalex.org/W1983705368","https://openalex.org/W2036196300","https://openalex.org/W2060280062","https://openalex.org/W2080873731","https://openalex.org/W2099046646","https://openalex.org/W2113325037","https://openalex.org/W2116610325","https://openalex.org/W2307770531","https://openalex.org/W2382036597","https://openalex.org/W2555751471","https://openalex.org/W2578797046","https://openalex.org/W2749379418","https://openalex.org/W2806070179","https://openalex.org/W2892009249","https://openalex.org/W2912890176","https://openalex.org/W2916798096","https://openalex.org/W2959975024","https://openalex.org/W2962773068","https://openalex.org/W2962820842","https://openalex.org/W2963402313","https://openalex.org/W2963448913","https://openalex.org/W2963598138","https://openalex.org/W2963781481","https://openalex.org/W2964221239","https://openalex.org/W2964304707","https://openalex.org/W2973127894","https://openalex.org/W2976669726","https://openalex.org/W2991316208","https://openalex.org/W3003668456","https://openalex.org/W3016010032","https://openalex.org/W3034399482","https://openalex.org/W3034750257","https://openalex.org/W3034999503","https://openalex.org/W3048063384","https://openalex.org/W3092878394","https://openalex.org/W3096609285","https://openalex.org/W3099360025","https://openalex.org/W3107828565","https://openalex.org/W3109579921","https://openalex.org/W3109769043","https://openalex.org/W3110103163","https://openalex.org/W3113581368","https://openalex.org/W3121052081","https://openalex.org/W3142589538","https://openalex.org/W3148729275","https://openalex.org/W3154596443","https://openalex.org/W3171125843","https://openalex.org/W3171668871","https://openalex.org/W3173415456","https://openalex.org/W3176892444","https://openalex.org/W3203925315","https://openalex.org/W4206706211","https://openalex.org/W4229452744","https://openalex.org/W4229890965","https://openalex.org/W4312305353","https://openalex.org/W4387671855","https://openalex.org/W6757817989","https://openalex.org/W6767234613","https://openalex.org/W6778883912","https://openalex.org/W6793736971"],"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/W2964084369","https://openalex.org/W4323323165","https://openalex.org/W2745033168","https://openalex.org/W4294967731"],"abstract_inverted_index":{"Human":[0],"pose":[1,20,86],"estimation":[2,21],"has":[3],"long":[4],"been":[5,30],"a":[6,72,77,94,117],"fundamental":[7],"problem":[8],"in":[9,44,103,137],"computer":[10],"vision":[11],"and":[12,52,59,79,100,113,127,135,154],"artificial":[13],"intelligence.":[14],"Prominent":[15],"among":[16],"the":[17,25,37,104,138,164],"2D":[18,84],"human":[19,85],"(HPE)":[22],"methods":[23],"are":[24,40],"regression-based":[26],"approaches,":[27,122],"which":[28,70],"have":[29],"proven":[31],"to":[32,55,110],"achieve":[33,111],"excellent":[34],"results.":[35],"However,":[36],"ground-truth":[38],"labels":[39],"usually":[41],"inherently":[42],"ambiguous":[43],"challenging":[45],"cases":[46],"such":[47],"as":[48],"motion":[49],"blur,":[50],"occlusions,":[51],"truncation,":[53],"leading":[54],"poor":[56],"performance":[57,159],"measurement":[58],"lower":[60],"levels":[61],"of":[62,76,91],"accuracy.":[63],"In":[64,116],"this":[65,107],"paper,":[66],"we":[67,123],"propose":[68],"Cofopose,":[69],"is":[71,89],"two-stage":[73],"approach":[74],"consisting":[75],"person":[78,112,133],"keypoint":[80,114,142],"detection":[81],"transformers":[82,139],"for":[83,131,140],"estimation.":[87],"Cofopose":[88,144],"composed":[90],"conditional":[92,95,125,129],"cross-attention,":[93],"DEtection":[96],"TRansformer":[97],"(conditional":[98],"DETR),":[99],"an":[101,157],"encoder-decoder":[102],"transformer":[105],"framework;":[106],"allows":[108],"it":[109],"detection.":[115,143],"significant":[118,161],"departure":[119],"from":[120],"other":[121],"use":[124],"cross-attention":[126],"fine-tune":[128],"DETR":[130],"our":[132,141],"detection,":[134],"encoder-decoders":[136],"was":[145],"extensively":[146],"evaluated":[147],"using":[148],"two":[149],"benchmark":[150],"datasets,":[151],"MS":[152],"COCO":[153],"MPII,":[155],"achieving":[156],"improved":[158],"with":[160],"margins":[162],"over":[163],"existing":[165],"state-of-the-art":[166],"frameworks.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}