{"id":"https://openalex.org/W4390970200","doi":"https://doi.org/10.1109/tmm.2024.3355652","title":"SPMHand: Segmentation-Guided Progressive Multi-Path 3D Hand Pose and Shape Estimation","display_name":"SPMHand: Segmentation-Guided Progressive Multi-Path 3D Hand Pose and Shape Estimation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390970200","doi":"https://doi.org/10.1109/tmm.2024.3355652"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3355652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3355652","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5054257406","display_name":"Haofan Lu","orcid":"https://orcid.org/0000-0002-5251-181X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofan Lu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-5251-181X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017247607","display_name":"Shuiping Gou","orcid":"https://orcid.org/0000-0002-2619-6481"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiping Gou","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2619-6481","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101613920","display_name":"Ruimin Li","orcid":"https://orcid.org/0000-0003-2393-2225"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruimin Li","raw_affiliation_strings":["Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2393-2225","affiliations":[{"raw_affiliation_string":"Academy of Advanced Interdisciplinary Research, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":3.1105,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9043013,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"6822","last_page":"6833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9987999796867371,"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":0.9968000054359436,"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":0.9886999726295471,"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/computer-science","display_name":"Computer science","score":0.8468349575996399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7967785596847534},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7842962741851807},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6773502230644226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6097415685653687},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5434861183166504},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5132453441619873},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46644967794418335},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4560205936431885},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4519509971141815},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4464966058731079},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42443227767944336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07043680548667908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8468349575996399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7967785596847534},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7842962741851807},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6773502230644226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6097415685653687},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5434861183166504},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5132453441619873},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46644967794418335},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4560205936431885},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4519509971141815},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4464966058731079},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42443227767944336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07043680548667908},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3355652","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3355652","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3147390171","display_name":null,"funder_award_id":"62102296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8047852520","display_name":null,"funder_award_id":"XJS222221","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1974700302","https://openalex.org/W1985891935","https://openalex.org/W2194775991","https://openalex.org/W2552247836","https://openalex.org/W2565639579","https://openalex.org/W2768683308","https://openalex.org/W2962074429","https://openalex.org/W2964211001","https://openalex.org/W2964249765","https://openalex.org/W2968722025","https://openalex.org/W2984612350","https://openalex.org/W3013785695","https://openalex.org/W3034479523","https://openalex.org/W3037859578","https://openalex.org/W3091133300","https://openalex.org/W3107167007","https://openalex.org/W3107620906","https://openalex.org/W3109877674","https://openalex.org/W3111487461","https://openalex.org/W3117357611","https://openalex.org/W3127246939","https://openalex.org/W3170924787","https://openalex.org/W3171008617","https://openalex.org/W3175199633","https://openalex.org/W3180172155","https://openalex.org/W3201806127","https://openalex.org/W3202457644","https://openalex.org/W3204872899","https://openalex.org/W3215845947","https://openalex.org/W4206367828","https://openalex.org/W4214492424","https://openalex.org/W4214630662","https://openalex.org/W4214684804","https://openalex.org/W4225557002","https://openalex.org/W4226524636","https://openalex.org/W4287102273","https://openalex.org/W4287177665","https://openalex.org/W4296972857","https://openalex.org/W4298014233","https://openalex.org/W4312275452","https://openalex.org/W4312395531","https://openalex.org/W4312648215","https://openalex.org/W4312865353","https://openalex.org/W4312923690","https://openalex.org/W4328105412","https://openalex.org/W4385245566","https://openalex.org/W6609797887","https://openalex.org/W6631190155","https://openalex.org/W6766978945","https://openalex.org/W6781442946","https://openalex.org/W6781568228","https://openalex.org/W6790928117","https://openalex.org/W6797754317"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2894986065","https://openalex.org/W4387967917","https://openalex.org/W4287600488","https://openalex.org/W4386925306","https://openalex.org/W3101088080","https://openalex.org/W2946083937","https://openalex.org/W4387968151","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Hand":[0],"pose":[1],"and":[2,14,38,86,121,183,192,216],"shape":[3],"estimation":[4,22],"plays":[5],"an":[6],"important":[7],"role":[8],"in":[9,90,213,220],"numerous":[10],"applications.":[11],"A":[12],"cost-effective":[13],"practical-friendly":[15],"approach":[16],"is":[17,31,70,118,128,151],"to":[18,34,51,80,102,130,153,165,175],"perform":[19],"accurate":[20],"hand":[21,36,66,69,82,88,106,111,116,124,134,144,158,171,198],"from":[23,163,173],"a":[24,47,91,123],"single":[25],"RGB":[26],"image,":[27],"but":[28],"this":[29,43],"task":[30],"challenging":[32,203],"due":[33],"ubiquitous":[35],"self-occlusion":[37],"hand-object":[39,225],"interaction":[40],"occlusions.":[41,226],"In":[42],"paper,":[44],"we":[45],"propose":[46],"novel":[48],"SPMHand":[49,74,209],"network":[50,101],"alleviate":[52],"the":[53,59,64,68,100,104,109,114,132,138,142,156,170,178,195,207,211,221],"effect":[54],"of":[55,76,223],"occlusions,":[56],"inspired":[57],"by":[58,107,136],"process":[60],"that":[61,185,206],"humans":[62],"infer":[63,131],"whole":[65,110,133],"when":[67],"occluded.":[71],"The":[72,95,146],"proposed":[73,208],"consists":[75],"two":[77],"main":[78],"modules":[79],"generate":[81],"segmentations":[83,184],"as":[84],"guidance":[85,187],"conduct":[87],"regressions":[89,172],"progressive":[92,147],"multi-path":[93,148],"manner.":[94],"segmentation-guided":[96],"deocclusion":[97,189],"module":[98,150],"enables":[99],"\u201csee\u201d":[103],"occluded":[105],"inferring":[108],"segmentation.":[112],"Specifically,":[113],"visible":[115,139],"segmentation":[117,135],"first":[119],"obtained":[120],"then":[122],"morphology":[125],"attention":[126],"block":[127],"introduced":[129],"fusing":[137],"information":[140],"with":[141,159],"learned":[143],"features.":[145],"regression":[149],"designed":[152],"gradually":[154],"regress":[155],"fine":[157,197],"intermediate":[160],"supervisions.":[161],"Features":[162],"deep":[164],"shallow":[166],"are":[167,190],"utilized":[168],"for":[169,188,194],"coarse":[174],"decent.":[176],"Subsequently,":[177],"structure":[179],"feature,":[180],"joint":[181],"heatmaps":[182],"provide":[186],"embedded":[191],"fused":[193],"final":[196],"regression.":[199],"Experiments":[200],"on":[201],"four":[202],"datasets":[204],"illustrate":[205],"outperforms":[210],"state-of-the-arts":[212],"both":[214],"real-world":[215],"synthetic":[217],"scenes,":[218],"especially":[219],"present":[222],"severe":[224]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}