{"id":"https://openalex.org/W4387969486","doi":"https://doi.org/10.1145/3581783.3612525","title":"Globally-Robust Instance Identification and Locally-Accurate Keypoint Alignment for Multi-Person Pose Estimation","display_name":"Globally-Robust Instance Identification and Locally-Accurate Keypoint Alignment for Multi-Person Pose Estimation","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969486","doi":"https://doi.org/10.1145/3581783.3612525"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st 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/A5077082161","display_name":"Fangzheng Tian","orcid":"https://orcid.org/0000-0002-3053-8317"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Fangzheng Tian","raw_affiliation_strings":["Jeonbuk National University, Jeonju , Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Jeonbuk National University, Jeonju , Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101906662","display_name":"Sungchan Kim","orcid":"https://orcid.org/0000-0002-5887-5606"},"institutions":[{"id":"https://openalex.org/I80611190","display_name":"Jeonbuk National University","ror":"https://ror.org/05q92br09","country_code":"KR","type":"education","lineage":["https://openalex.org/I80611190"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungchan Kim","raw_affiliation_strings":["Jeonbuk National University, Jeonju , Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Jeonbuk National University, Jeonju , Republic of Korea","institution_ids":["https://openalex.org/I80611190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077082161"],"corresponding_institution_ids":["https://openalex.org/I80611190"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13660474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4816","last_page":"4827"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9940999746322632,"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":0.7511653900146484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7341152429580688},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.6422749757766724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5163949131965637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47866639494895935},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4291599690914154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7511653900146484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7341152429580688},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.6422749757766724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5163949131965637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47866639494895935},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4291599690914154},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612525","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1478288009","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G3034753964","display_name":null,"funder_award_id":"grant","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3510917025","display_name":null,"funder_award_id":"2022R1","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4643994530","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G5799620071","display_name":null,"funder_award_id":"2021-0-02068","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6169308200","display_name":null,"funder_award_id":"2022R1A2C1011013","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G8241800567","display_name":null,"funder_award_id":"2021-0-0206","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1994529670","https://openalex.org/W2175012183","https://openalex.org/W2382036597","https://openalex.org/W2559085405","https://openalex.org/W2819476901","https://openalex.org/W2916798096","https://openalex.org/W2944341987","https://openalex.org/W2958537753","https://openalex.org/W2962954622","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963402313","https://openalex.org/W2963598138","https://openalex.org/W2963781481","https://openalex.org/W2964105113","https://openalex.org/W2964221239","https://openalex.org/W2964304707","https://openalex.org/W2982770724","https://openalex.org/W2989604896","https://openalex.org/W2993728126","https://openalex.org/W3034399482","https://openalex.org/W3034742259","https://openalex.org/W3034750257","https://openalex.org/W3109653595","https://openalex.org/W3166539425","https://openalex.org/W3172013121","https://openalex.org/W3173964191","https://openalex.org/W3176892444","https://openalex.org/W3203572876","https://openalex.org/W3203925315","https://openalex.org/W3213529248","https://openalex.org/W4214508443","https://openalex.org/W4221153186","https://openalex.org/W4229073080","https://openalex.org/W4229618383","https://openalex.org/W4312614783","https://openalex.org/W4312632164","https://openalex.org/W4312638018","https://openalex.org/W4312967365","https://openalex.org/W4313130756","https://openalex.org/W4313159453","https://openalex.org/W4313160152"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Scenes":[0],"with":[1,16,107],"a":[2,26],"large":[3],"number":[4],"of":[5,13,56,70,127,150],"human":[6,34],"instances":[7,15,130],"are":[8],"characterized":[9],"by":[10],"significant":[11],"overlap":[12],"the":[14,81,142],"similar":[17],"appearance,":[18],"occlusion,":[19],"and":[20,37,50,59,61,83,102,145,159],"scale":[21],"variation.":[22],"We":[23,75,134],"propose":[24],"GRAPE,":[25],"novel":[27],"method":[28],"that":[29,136],"leverages":[30],"both":[31],"Globally":[32],"Robust":[33],"instance":[35,48,57,66,92,104],"identification":[36],"locally":[38],"Accurate":[39],"keypoint":[40,51,62,73,109,119],"alignment":[41],"for":[42,124],"2D":[43],"Pose":[44],"Estimation.":[45],"GRAPE":[46,116,137,151],"predicts":[47,118],"center":[49],"heatmaps,":[52,110],"as":[53,68,99],"global":[54,82],"identifications":[55],"location":[58],"scale,":[60],"offset":[63,105],"vectors":[64,106],"from":[65],"centers,":[67],"representations":[69],"accurate":[71],"local":[72,84],"positions.":[74],"use":[76],"Transformer":[77],"to":[78,89],"jointly":[79],"learn":[80],"contexts,":[85],"which":[86,121],"allows":[87],"us":[88],"robustly":[90],"detect":[91],"centers":[93,126],"even":[94],"in":[95,112,131],"difficult":[96],"cases":[97],"such":[98],"crowded":[100,132,156],"scenes,":[101],"align":[103],"relevant":[108],"resulting":[111],"refined":[113],"final":[114],"poses.":[115],"also":[117],"visibility,":[120],"is":[122,152],"crucial":[123],"estimating":[125],"partially":[128],"visible":[129],"scenes.":[133],"demonstrate":[135],"achieves":[138],"state-of-the-art":[139],"performance":[140],"on":[141,155,169],"CrowdPose,":[143],"OCHuman,":[144],"COCO":[146],"datasets.":[147],"The":[148],"benefit":[149],"more":[153],"apparent":[154],"scenes":[157],"(CrowdPose":[158],"OCHuman),":[160],"where":[161],"our":[162],"model":[163],"significantly":[164],"outperforms":[165],"previous":[166],"methods,":[167],"especially":[168],"hard":[170],"examples.":[171]},"counts_by_year":[],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}