{"id":"https://openalex.org/W3166166711","doi":"https://doi.org/10.1109/icme51207.2021.9428299","title":"Capturing Implicit Spatial Cues for Monocular 3d Hand Reconstruction","display_name":"Capturing Implicit Spatial Cues for Monocular 3d Hand Reconstruction","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166166711","doi":"https://doi.org/10.1109/icme51207.2021.9428299","mag":"3166166711"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5060958969","display_name":"Qi Wu","orcid":"https://orcid.org/0000-0003-3631-256X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Wu","raw_affiliation_strings":["Chinese Academy of Sciences,Hefei Institutes of Physical Science","Anhui University","Hefei Institutes of Physical Science, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Hefei Institutes of Physical Science","institution_ids":["https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Anhui University","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000312791","display_name":"Joya Chen","orcid":"https://orcid.org/0000-0003-2021-9475"},"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":"Joya Chen","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004699537","display_name":"Zhou Xu","orcid":"https://orcid.org/0000-0003-0119-927X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["Chinese Academy of Sciences,Hefei Institutes of Physical Science","Hefei Institutes of Physical Science, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Hefei Institutes of Physical Science","institution_ids":["https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661673","display_name":"Zhiming Yao","orcid":"https://orcid.org/0000-0001-8081-4247"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiming Yao","raw_affiliation_strings":["Chinese Academy of Sciences,Hefei Institutes of Physical Science","Hefei Institutes of Physical Science, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Hefei Institutes of Physical Science","institution_ids":["https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109445159","display_name":"Xianjun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjun Yang","raw_affiliation_strings":["Chinese Academy of Sciences,Hefei Institutes of Physical Science","Hefei Institutes of Physical Science, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Hefei Institutes of Physical Science","institution_ids":["https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I2802624667","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060958969"],"corresponding_institution_ids":["https://openalex.org/I143868143","https://openalex.org/I19820366","https://openalex.org/I2802624667"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36604575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9896000027656555,"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"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476060390472412},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6888796091079712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6317800283432007},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5824165940284729},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5405259728431702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5097026824951172},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5075894594192505},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4730730950832367},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4685942232608795},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4371023178100586},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43183690309524536},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23169943690299988},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20209771394729614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17246916890144348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476060390472412},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6888796091079712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6317800283432007},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5824165940284729},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5405259728431702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5097026824951172},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5075894594192505},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4730730950832367},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4685942232608795},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4371023178100586},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43183690309524536},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23169943690299988},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20209771394729614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17246916890144348},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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:10.1109/icme51207.2021.9428299","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1589125571","https://openalex.org/W1967554269","https://openalex.org/W2194775991","https://openalex.org/W2768683308","https://openalex.org/W2889146482","https://openalex.org/W2916798096","https://openalex.org/W2962811204","https://openalex.org/W2963119249","https://openalex.org/W2964015378","https://openalex.org/W2964093990","https://openalex.org/W2964211001","https://openalex.org/W2964318832","https://openalex.org/W2968722025","https://openalex.org/W2972662547","https://openalex.org/W2973857456","https://openalex.org/W2979577579","https://openalex.org/W2984612350","https://openalex.org/W3013785695","https://openalex.org/W3034470433","https://openalex.org/W3034479523","https://openalex.org/W3035385851","https://openalex.org/W3035467087","https://openalex.org/W3098612954","https://openalex.org/W3107167007","https://openalex.org/W3152253924","https://openalex.org/W6726873649","https://openalex.org/W6760224987"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"With":[0],"the":[1,4,15,39,51,74,86,94,105,125],"development":[2],"of":[3,36,96],"parameterized":[5],"hand":[6,17,23,29,53,89,99,107,110,132,137],"model":[7,30],"(e.g.":[8],"MANO),":[9],"it":[10,42],"is":[11,43,57,155],"possible":[12],"to":[13,46,79,123],"reconstruct":[14],"3D":[16,98,131],"mesh":[18,108],"from":[19,50],"a":[20,27],"single":[21],"2D":[22,52],"image":[24,66],"by":[25],"learning":[26,114],"few":[28],"parameters,":[31,116],"rather":[32],"than":[33],"estimating":[34],"hundreds":[35],"vertices":[37],"on":[38,143],"mesh.":[40],"However,":[41],"highly":[44],"non-linear":[45],"learn":[47],"these":[48,63],"parameters":[49,64],"image,":[54],"as":[55],"there":[56],"no":[58],"explicit":[59],"spatial":[60,82,106,126],"correspondence":[61],"between":[62],"and":[65,109,146,152],"pixels.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"successfully":[72],"leverage":[73],"graph":[75,112],"convolutional":[76],"network":[77],"(GCN)":[78],"capture":[80],"implicit":[81],"cues":[83],"for":[84,113],"fitting":[85],"well-known":[87],"MANO":[88,115,136],"model,":[90,138],"thus":[91],"greatly":[92],"improving":[93],"performance":[95],"monocular":[97,130],"reconstruction.":[100],"Our":[101],"proposed":[102],"MANO-GCN":[103,139],"establishes":[104],"joints":[111],"with":[117,135],"node":[118],"features":[119],"propagated":[120],"along":[121],"edges":[122],"utilize":[124],"information.":[127],"Among":[128],"all":[129],"reconstruction":[133],"methods":[134],"achieves":[140],"state-of-the-art":[141],"accuracy":[142],"public":[144],"FreiHAND":[145],"HO-3D":[147],"benchmarks,":[148],"without":[149],"any":[150],"bells":[151],"whistles.":[153],"Code":[154],"available":[156],"at":[157],"https://github.com/ChenJoya/manogcn.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}