{"id":"https://openalex.org/W4403791301","doi":"https://doi.org/10.1145/3664647.3681065","title":"Learning Context with Priors for 3D Interacting Hand-Object Pose Estimation","display_name":"Learning Context with Priors for 3D Interacting Hand-Object Pose Estimation","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791301","doi":"https://doi.org/10.1145/3664647.3681065"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3681065?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3681065?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028783187","display_name":"Zengsheng Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengsheng Kuang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1085-8700","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038748720","display_name":"Changxing Ding","orcid":"https://orcid.org/0000-0001-7232-3181"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changxing Ding","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7232-3181","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110945005","display_name":"Huan Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Yao","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-6426-9379","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"768","last_page":"777"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9994000196456909,"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":0.9994000196456909,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9977999925613403,"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/prior-probability","display_name":"Prior probability","score":0.8365000486373901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6919758319854736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690896213054657},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.669195294380188},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6148333549499512},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.60329270362854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5684759616851807},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4495505094528198},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.14510056376457214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08389344811439514},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05555635690689087}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8365000486373901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6919758319854736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690896213054657},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.669195294380188},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6148333549499512},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.60329270362854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5684759616851807},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4495505094528198},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.14510056376457214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08389344811439514},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05555635690689087},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3681065?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3681065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3681065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3681065?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1590409721","display_name":null,"funder_award_id":"2023A1515010007","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G2474074552","display_name":null,"funder_award_id":"62076101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403791301.pdf","grobid_xml":"https://content.openalex.org/works/W4403791301.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1526868886","https://openalex.org/W2219155316","https://openalex.org/W2916798096","https://openalex.org/W2968722025","https://openalex.org/W3021322563","https://openalex.org/W3048921023","https://openalex.org/W3094927600","https://openalex.org/W3096609285","https://openalex.org/W3107620906","https://openalex.org/W3109877674","https://openalex.org/W3127246939","https://openalex.org/W3171008617","https://openalex.org/W3175199633","https://openalex.org/W3176892444","https://openalex.org/W3201806127","https://openalex.org/W3202457644","https://openalex.org/W4214627427","https://openalex.org/W4214630662","https://openalex.org/W4312395531","https://openalex.org/W4312648215","https://openalex.org/W4313015918","https://openalex.org/W4319301002","https://openalex.org/W4385474538","https://openalex.org/W4385825380","https://openalex.org/W4386066654","https://openalex.org/W4386075927","https://openalex.org/W4386076700","https://openalex.org/W4387211899","https://openalex.org/W4387969087","https://openalex.org/W4388190302","https://openalex.org/W4388191739","https://openalex.org/W4390871854","https://openalex.org/W4390871950","https://openalex.org/W4390872393","https://openalex.org/W4393158918"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783"],"abstract_inverted_index":{"Achieving":[0],"3D":[1],"hand-object":[2],"pose":[3,131,229],"estimation":[4,230],"in":[5,136],"interaction":[6],"scenarios":[7],"is":[8,233],"challenging":[9],"due":[10],"to":[11,133,226],"the":[12,17,26,29,41,61,121,127,137,146,152,161,179,189,195,205],"severe":[13],"occlusion":[14],"generated":[15],"during":[16],"interaction.":[18],"Existing":[19],"methods":[20],"address":[21,71],"this":[22,58,72,94],"issue":[23],"by":[24,88,115],"utilizing":[25],"correlation":[27],"between":[28,126],"hand":[30,42,111,128,147,228],"and":[31,43,50,78,109,129,148,182,208,222],"object":[32,44,113,130,149,183],"poses":[33],"as":[34],"additional":[35],"cues.":[36],"They":[37],"usually":[38],"first":[39],"extract":[40],"features":[45,114],"from":[46],"their":[47],"respective":[48],"regions":[49],"then":[51],"refine":[52],"them":[53],"with":[54],"each":[55,157],"other.":[56],"However,":[57],"paradigm":[59],"disregards":[60],"role":[62],"of":[63,67,86,163,191],"a":[64,76,83,142],"broad":[65,84],"range":[66,85],"image":[68],"context.":[69],"To":[70],"problem,":[73],"we":[74,92,173,200],"propose":[75],"novel":[77],"robust":[79],"approach":[80,95],"that":[81,145,215],"learns":[82],"context":[87,108,122,155,165],"imposing":[89],"priors.":[90],"First,":[91],"build":[93],"using":[96],"stacked":[97],"transformer":[98],"decoder":[99,123,184],"layers.":[100,185],"These":[101],"layers":[102],"are":[103,150],"required":[104],"for":[105,156,178],"extracting":[106],"image-wide":[107],"regional":[110],"or":[112],"constraining":[116],"cross-attention":[117],"operations.":[118],"We":[119],"share":[120],"layer":[124],"parameters":[125],"estimations":[132],"avoid":[134],"interference":[135],"context-learning":[138],"process.":[139],"This":[140,186],"imposes":[141],"prior,":[143],"indicating":[144],"mutually":[151],"most":[153],"important":[154],"other,":[158],"significantly":[159,218],"enhancing":[160],"robustness":[162],"obtained":[164],"features.":[166],"Second,":[167],"since":[168],"they":[169],"play":[170],"different":[171],"roles,":[172],"provide":[174],"customized":[175],"feature":[176,196],"maps":[177],"context,":[180],"hand,":[181],"strategy":[187],"facilitates":[188],"disentanglement":[190],"these":[192],"layers,":[193],"reducing":[194],"learning":[197],"complexity.":[198],"Finally,":[199],"conduct":[201],"extensive":[202],"experiments":[203],"on":[204],"popular":[206],"HO3D":[207],"Dex-YCB":[209],"databases.":[210],"The":[211],"experimental":[212],"results":[213],"indicate":[214],"our":[216],"method":[217],"outperforms":[219],"state-of-the-art":[220],"approaches":[221],"can":[223],"be":[224],"applied":[225],"other":[227],"tasks.":[231],"Code":[232],"available":[234],"at":[235],"https://github.com/zskuang58/LCP.":[236]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}