{"id":"https://openalex.org/W4400527807","doi":"https://doi.org/10.1109/fg59268.2024.10582028","title":"Latent Embedding Clustering for Occlusion Robust Head Pose Estimation","display_name":"Latent Embedding Clustering for Occlusion Robust Head Pose Estimation","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527807","doi":"https://doi.org/10.1109/fg59268.2024.10582028"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10582028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10582028","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/A5020518013","display_name":"Jos\u00e9 Celestino","orcid":"https://orcid.org/0000-0002-8347-9410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jos\u00e9 Celestino","raw_affiliation_strings":["Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024663868","display_name":"Manuel Marques","orcid":"https://orcid.org/0000-0003-0532-1869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manuel Marques","raw_affiliation_strings":["Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078047670","display_name":"Jacinto C. Nascimento","orcid":"https://orcid.org/0000-0001-7468-5127"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacinto C. Nascimento","raw_affiliation_strings":["Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Systems and Robotics, Instituto Superior Técnico,Lisboa,Portugal","institution_ids":[]}]}],"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":0.10741289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9959999918937683,"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":0.9959999918937683,"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/T12290","display_name":"Human Motion and Animation","score":0.9678000211715698,"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/T11448","display_name":"Face recognition and analysis","score":0.9376000165939331,"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/computer-science","display_name":"Computer science","score":0.7186701893806458},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6882906556129456},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6659528017044067},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6583516597747803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485350131988525},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.6135581135749817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5742506980895996},{"id":"https://openalex.org/keywords/occlusion","display_name":"Occlusion","score":0.4146268367767334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3416893482208252},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14737442135810852},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07447868585586548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186701893806458},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6882906556129456},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6659528017044067},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6583516597747803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485350131988525},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.6135581135749817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5742506980895996},{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.4146268367767334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3416893482208252},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14737442135810852},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07447868585586548},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10582028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/fg59268.2024.10582028","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W4298130764","https://openalex.org/W4387967917","https://openalex.org/W3097502728","https://openalex.org/W2804364458","https://openalex.org/W4386925306"],"abstract_inverted_index":{"Head":[0],"pose":[1,84,111,139],"estimation":[2],"has":[3],"become":[4],"a":[5,17,54,98,127,133],"crucial":[6],"area":[7],"of":[8,20,30,125,151],"research":[9],"in":[10,16,35,46,62,117,136],"computer":[11],"vision":[12],"given":[13],"its":[14],"usefulness":[15],"wide":[18],"range":[19],"applications,":[21],"including":[22],"robotics,":[23],"surveillance,":[24],"or":[25],"driver":[26],"attention":[27],"monitoring.":[28],"One":[29],"the":[31,123,149,152],"most":[32],"difficult":[33],"challenges":[34],"this":[36,50],"field":[37],"is":[38,60,145],"managing":[39],"head":[40,65,110,138],"occlusions":[41],"that":[42,59],"frequently":[43],"take":[44],"place":[45],"real-world":[47],"scenarios.":[48,67],"In":[49,68],"paper,":[51],"we":[52,70],"propose":[53,71],"novel":[55],"and":[56,79,94],"efficient":[57],"framework":[58],"robust":[61],"real":[63],"world":[64],"occlusion":[66],"particular,":[69],"an":[72,142],"unsupervised":[73],"latent":[74,89],"embedding":[75],"clustering":[76,99,153],"with":[77,122],"regression":[78],"classification":[80],"components":[81],"for":[82,92],"each":[83],"angle.":[85],"The":[86],"model":[87],"optimizes":[88],"feature":[90],"representations":[91],"occluded":[93,137],"non-occluded":[95],"images":[96],"through":[97],"term":[100,154],"while":[101],"improving":[102],"fine-grained":[103],"angle":[104],"predictions.":[105],"Experimental":[106],"evaluation":[107],"on":[108],"in-the-wild":[109],"benchmark":[112],"datasets":[113],"reveal":[114],"competitive":[115],"performance":[116],"comparison":[118],"to":[119,147],"state-of-the-art":[120],"methodologies":[121],"advantage":[124],"having":[126],"significant":[128],"data":[129],"reduction.":[130],"We":[131],"observe":[132],"substantial":[134],"improvement":[135],"estimation.":[140],"Also,":[141],"ablation":[143],"study":[144],"conducted":[146],"ascertain":[148],"impact":[150],"within":[155],"our":[156],"proposed":[157],"framework.":[158]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}