{"id":"https://openalex.org/W4400527529","doi":"https://doi.org/10.1109/fg59268.2024.10581862","title":"Uncalibrated Multi-view 3D Human Pose Estimation with Geometry Driven Attention","display_name":"Uncalibrated Multi-view 3D Human Pose Estimation with Geometry Driven Attention","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527529","doi":"https://doi.org/10.1109/fg59268.2024.10581862"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10581862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10581862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103308464","display_name":"Victor Galizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Victor Galizzi","raw_affiliation_strings":["University Paris-Saclay,CEA, List,Palaiseau,France,F-91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Paris-Saclay,CEA, List,Palaiseau,France,F-91120","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073618814","display_name":"Bertrand Luvison","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bertrand Luvison","raw_affiliation_strings":["University Paris-Saclay,CEA, List,Palaiseau,France,F-91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Paris-Saclay,CEA, List,Palaiseau,France,F-91120","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50375451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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":0.9988999962806702,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9970999956130981,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/pose","display_name":"Pose","score":0.7227711081504822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6366421580314636},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6305944919586182},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6277909874916077},{"id":"https://openalex.org/keywords/computational-geometry","display_name":"Computational geometry","score":0.43298426270484924},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4210605323314667},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.39092037081718445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18844875693321228},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11039355397224426}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7227711081504822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6366421580314636},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6305944919586182},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277909874916077},{"id":"https://openalex.org/C29123130","wikidata":"https://www.wikidata.org/wiki/Q874709","display_name":"Computational geometry","level":2,"score":0.43298426270484924},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4210605323314667},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.39092037081718445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18844875693321228},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11039355397224426},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10581862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10581862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2080873731","https://openalex.org/W2101032778","https://openalex.org/W2963037989","https://openalex.org/W2986352270","https://openalex.org/W3035278762","https://openalex.org/W3106882556","https://openalex.org/W3174042812","https://openalex.org/W3212454889","https://openalex.org/W4224992933","https://openalex.org/W4283825932","https://openalex.org/W4312417903","https://openalex.org/W4312465973","https://openalex.org/W4312667155","https://openalex.org/W4312797994","https://openalex.org/W4313007980","https://openalex.org/W4313016342","https://openalex.org/W4313068951","https://openalex.org/W4319299717","https://openalex.org/W4319299798","https://openalex.org/W4319300086","https://openalex.org/W6803433483","https://openalex.org/W6809664228"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2736638679","https://openalex.org/W4313046826","https://openalex.org/W1968716783","https://openalex.org/W2740851372","https://openalex.org/W2165852999","https://openalex.org/W2154461127","https://openalex.org/W598462635","https://openalex.org/W137454273"],"abstract_inverted_index":{"To":[0],"make":[1],"up":[2],"for":[3],"the":[4,97,103,139,152,155],"inherent":[5],"challenging":[6],"nature":[7],"of":[8,71,88,106,151,154],"3D":[9,60,83],"pose":[10,28,61],"estimation,":[11],"most":[12],"multi-view":[13],"frameworks":[14],"rely":[15],"on":[16,96,129],"camera":[17,111],"calibration,":[18],"often":[19],"leading":[20],"to":[21,32,76],"impractical":[22],"or":[23,113],"constrained":[24],"architectures.":[25],"Accurate":[26],"human":[27],"estimation":[29],"is":[30],"key":[31],"en-hancing":[33],"human-computer":[34],"interaction,":[35],"gaming,":[36],"health,":[37],"sport":[38],"and":[39,45,53,63,101],"surveillance":[40],"systems.":[41],"By":[42],"capturing":[43],"precise":[44],"reliable":[46],"body":[47],"positions,":[48],"our":[49,147],"approach":[50,125],"enables":[51],"efficient":[52],"innovative":[54],"downstream":[55,122],"tasks.":[56],"We":[57],"leverage":[58],"monocular":[59],"estimations":[62],"a":[64,72,115],"novel":[65],"geometry":[66],"driven":[67],"attention":[68],"mechanism":[69],"inside":[70],"transformer":[73],"lightweight":[74],"architecture":[75],"produce":[77],"high":[78],"precision,":[79],"occlusion":[80],"aware":[81],"refined":[82],"poses,":[84],"with":[85],"varying":[86],"number":[87],"uncalibrated":[89],"cameras.":[90],"Our":[91,124],"method":[92],"shows":[93],"competitive":[94],"results":[95,148],"in-lab":[98],"dataset":[99],"Human3.6M":[100],"in":[102,110,114],"in-the-wild":[104],"environment":[105],"SkiPose":[107,140],"PTZ-Camera,":[108],"both":[109],"frames":[112],"disentangled":[116],"person":[117],"centric":[118],"referential":[119],"allowing":[120],"practical":[121],"uses.":[123],"matches":[126],"state-of-the-art":[127],"performance":[128],"Human3.6M,":[130],"while":[131],"being":[132,158],"at":[133,159],"least":[134,160],"3":[135,161],"times":[136,162],"lighter.":[137],"On":[138],"base":[141],"acquired":[142],"under":[143],"particularly":[144],"difficult":[145],"conditions,":[146],"exceed":[149],"those":[150],"state":[153],"art":[156],"by":[157],"faster.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
