{"id":"https://openalex.org/W7161782978","doi":"https://doi.org/10.2312/egs.20261005","title":"Token-Based Dual-Codebook Learning for Robust 3D Pose Lifting","display_name":"Token-Based Dual-Codebook Learning for Robust 3D Pose Lifting","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7161782978","doi":"https://doi.org/10.2312/egs.20261005"},"language":null,"primary_location":{"id":"doi:10.2312/egs.20261005","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20261005","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/egs.20261005","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136610949","display_name":"Minsu Jeon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeon, Minsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136544407","display_name":"Janghyun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Janghyun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136576391","display_name":"Jinsun Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Jinsun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62606043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9251000285148621,"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":0.9251000285148621,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.022700000554323196,"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/T12290","display_name":"Human Motion and Animation","score":0.01360000018030405,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.31220000982284546},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.27239999175071716},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.26339998841285706},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.26179999113082886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.25999999046325684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5855000019073486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5306000113487244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48410001397132874},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2337000072002411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23090000450611115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/egs.20261005","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20261005","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/egs.20261005","is_oa":true,"landing_page_url":"https://doi.org/10.2312/egs.20261005","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"3D":[0,82,102,170],"human":[1,83],"pose":[2,37,84,103,121,171],"estimation":[3,85],"from":[4,71,119],"monocular":[5],"images":[6],"is":[7],"inherently":[8],"challenging":[9],"due":[10],"to":[11,28,33],"frequent":[12],"occlusions,":[13],"which":[14],"introduce":[15],"significant":[16],"ambiguity":[17],"in":[18,61],"joint":[19,54],"visibility.":[20],"For":[21],"instance,":[22],"regression-based":[23],"methods":[24,45],"are":[25],"highly":[26],"sensitive":[27],"these":[29,41,117],"ambiguities,":[30],"often":[31],"leading":[32],"unstable":[34],"and":[35,51,68,91,98,108,127,165,176],"jittery":[36],"estimates.":[38],"To":[39,115],"overcome":[40],"limitations,":[42],"recent":[43],"token-based":[44,79],"discretize":[46],"poses":[47],"into":[48,105],"structured":[49],"representations":[50],"better":[52],"capture":[53],"dependencies.":[55,93],"However,":[56],"most":[57],"existing":[58],"approaches":[59],"operate":[60],"a":[62,77,96,112,133],"frame-wise":[63],"manner,":[64],"neglecting":[65],"temporal":[66,92,99,109,128,138],"continuity":[67],"consequently":[69],"suffering":[70],"time-inconsistent":[72],"predictions.":[73],"Therefore,":[74],"we":[75,123],"propose":[76],"spatio-temporal":[78],"framework":[80],"for":[81],"that":[86,151],"explicitly":[87],"models":[88],"both":[89],"spatial":[90,97,107,126],"In":[94],"specific,":[95],"tokenizer":[100],"decomposes":[101],"sequences":[104],"discrete":[106],"tokens":[110,118],"via":[111],"dual-codebook":[113],"design.":[114],"predict":[116],"2D":[120],"sequences,":[122],"further":[124],"develop":[125],"token":[129],"classifiers":[130],"based":[131],"on":[132,146,181],"SemGCN\u2013GraphGRU":[134],"architecture,":[135],"enabling":[136],"effective":[137],"reasoning":[139],"while":[140,160],"preserving":[141],"skeletal":[142],"structure.":[143],"Extensive":[144],"experiments":[145],"the":[147],"Human3.6M":[148],"dataset":[149],"demonstrate":[150],"our":[152,182],"method":[153],"achieves":[154],"state-of-the-art":[155],"performance":[156],"among":[157],"short-sequence":[158],"methods,":[159],"significantly":[161],"reducing":[162],"high-frequency":[163],"jitter":[164],"producing":[166],"smooth,":[167],"physically":[168],"plausible":[169],"sequences.":[172],"Additional":[173],"experimental":[174],"results":[175],"details":[177],"can":[178],"be":[179],"found":[180],"project":[183],"page:":[184],"https://minsuuuj.github.io/DuoTokenPose-Page":[185]},"counts_by_year":[],"updated_date":"2026-05-27T06:14:07.914337","created_date":"2026-05-21T00:00:00"}
