{"id":"https://openalex.org/W4200446459","doi":"https://doi.org/10.3390/s21238092","title":"Coarse-to-Fine Hand\u2013Object Pose Estimation with Interaction-Aware Graph Convolutional Network","display_name":"Coarse-to-Fine Hand\u2013Object Pose Estimation with Interaction-Aware Graph Convolutional Network","publication_year":2021,"publication_date":"2021-12-03","ids":{"openalex":"https://openalex.org/W4200446459","doi":"https://doi.org/10.3390/s21238092","pmid":"https://pubmed.ncbi.nlm.nih.gov/34884096"},"language":"en","primary_location":{"id":"doi:10.3390/s21238092","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238092","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8092/pdf?version=1638525922","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/1424-8220/21/23/8092/pdf?version=1638525922","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101951237","display_name":"Maomao Zhang","orcid":"https://orcid.org/0000-0002-1742-4665"},"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":"Maomao Zhang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359744","display_name":"Ao Li","orcid":"https://orcid.org/0000-0002-8190-3062"},"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":"Ao Li","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100760049","display_name":"Honglei Liu","orcid":"https://orcid.org/0000-0001-5518-4749"},"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":"Honglei Liu","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100376899","display_name":"Minghui Wang","orcid":"https://orcid.org/0000-0002-1594-136X"},"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":"Minghui Wang","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100359744"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6939,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70904023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"21","issue":"23","first_page":"8092","last_page":"8092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991999864578247,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.8325318098068237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763291597366333},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7682472467422485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758082509040833},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5978190898895264},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5900462865829468},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5618818998336792},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5552871227264404},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5213721394538879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43806788325309753},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.4310901463031769},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4242631196975708},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3532745838165283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34072381258010864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18295568227767944}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8325318098068237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763291597366333},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7682472467422485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758082509040833},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5978190898895264},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5900462865829468},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5618818998336792},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5552871227264404},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5213721394538879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43806788325309753},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.4310901463031769},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4242631196975708},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3532745838165283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34072381258010864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18295568227767944},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","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":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21238092","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238092","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8092/pdf?version=1638525922","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:34884096","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34884096","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:c5e501d066c2435aa3bbe05a515f49ac","is_oa":true,"landing_page_url":"https://doaj.org/article/c5e501d066c2435aa3bbe05a515f49ac","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 21, Iss 23, p 8092 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/23/8092/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21238092","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 21; Issue 23; Pages: 8092","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8662406","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8662406","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/s21238092","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21238092","pdf_url":"https://www.mdpi.com/1424-8220/21/23/8092/pdf?version=1638525922","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":[],"awards":[{"id":"https://openalex.org/G8510219436","display_name":null,"funder_award_id":"61971393, 61871361","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2075156252","https://openalex.org/W2194775991","https://openalex.org/W2210697964","https://openalex.org/W2406128552","https://openalex.org/W2519887557","https://openalex.org/W2520346623","https://openalex.org/W2543872873","https://openalex.org/W2605973302","https://openalex.org/W2756050327","https://openalex.org/W2768683308","https://openalex.org/W2768879211","https://openalex.org/W2781143029","https://openalex.org/W2798581336","https://openalex.org/W2897577167","https://openalex.org/W2897765997","https://openalex.org/W2948058585","https://openalex.org/W2951006673","https://openalex.org/W2962811204","https://openalex.org/W2963017945","https://openalex.org/W2963601560","https://openalex.org/W2963756608","https://openalex.org/W2963950354","https://openalex.org/W2964093990","https://openalex.org/W2964249569","https://openalex.org/W2964304707","https://openalex.org/W2964318832","https://openalex.org/W2968722025","https://openalex.org/W2972662547","https://openalex.org/W2997467183","https://openalex.org/W2998383791","https://openalex.org/W3034479523","https://openalex.org/W3035385851","https://openalex.org/W3035467087","https://openalex.org/W3092878394","https://openalex.org/W3098612954"],"related_works":["https://openalex.org/W4253893311","https://openalex.org/W3089306886","https://openalex.org/W2113785214","https://openalex.org/W3201205132","https://openalex.org/W2798721181","https://openalex.org/W4387967917","https://openalex.org/W4312694060","https://openalex.org/W4386075737","https://openalex.org/W4382141741","https://openalex.org/W2951583186"],"abstract_inverted_index":{"The":[0],"analysis":[1],"of":[2,53,67,157,163,176],"hand-object":[3,36,42,110,181],"poses":[4,56],"from":[5,74],"RGB":[6,75],"images":[7],"is":[8,100],"important":[9],"for":[10,35,89,166],"understanding":[11],"and":[12,16,69,77,130,148],"imitating":[13],"human":[14],"behavior":[15],"acts":[17],"as":[18],"a":[19,30],"key":[20],"factor":[21],"in":[22,44,50,61,112,118,123],"various":[23],"applications.":[24],"In":[25,139],"this":[26,142],"paper,":[27],"we":[28,144],"propose":[29],"novel":[31],"coarse-to-fine":[32],"two-stage":[33],"framework":[34],"pose":[37,46,81,104,120,169],"estimation,":[38],"which":[39],"explicitly":[40],"models":[41],"relations":[43,111,127],"3D":[45,58,86,113,119,168],"refinement":[47,105,121],"rather":[48],"than":[49],"the":[51,62,90,109,124,155,158],"process":[52],"converting":[54],"2D":[55,65],"to":[57,83,102,135,141,152,160],"poses.":[59,87],"Specifically,":[60],"coarse":[63,85],"stage,":[64,92],"heatmaps":[66],"hand":[68,129],"object":[70,131],"keypoints":[71],"are":[72],"obtained":[73],"image":[76],"subsequently":[78],"fed":[79],"into":[80],"regressor":[82],"derive":[84],"As":[88],"fine":[91],"an":[93],"interaction-aware":[94],"graph":[95],"convolutional":[96],"network":[97,159],"called":[98],"InterGCN":[99],"introduced":[101],"perform":[103],"by":[106],"fully":[107],"leveraging":[108],"context.":[114],"One":[115],"major":[116],"challenge":[117],"lies":[122],"fact":[125],"that":[126],"between":[128],"change":[132],"dynamically":[133],"according":[134],"different":[136],"HOI":[137,164],"scenarios.":[138],"response":[140],"issue,":[143],"leverage":[145],"both":[146],"general":[147],"interaction-specific":[149],"relation":[150],"graphs":[151],"significantly":[153],"enhance":[154],"capacity":[156],"cover":[161],"variations":[162],"scenarios":[165],"successful":[167],"refinement.":[170],"Extensive":[171],"experiments":[172],"demonstrate":[173],"state-of-the-art":[174],"performance":[175],"our":[177],"approach":[178],"on":[179],"benchmark":[180],"datasets.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
