{"id":"https://openalex.org/W4413018333","doi":"https://doi.org/10.1109/fg61629.2025.11099389","title":"Test-Time Augmentation for Pose-invariant Face Recognition","display_name":"Test-Time Augmentation for Pose-invariant Face Recognition","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413018333","doi":"https://doi.org/10.1109/fg61629.2025.11099389"},"language":"en","primary_location":{"id":"doi:10.1109/fg61629.2025.11099389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-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/A5000060266","display_name":"Jaemin Jung","orcid":"https://orcid.org/0000-0002-6815-7763"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaemin Jung","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013499323","display_name":"Youngjoon Jang","orcid":"https://orcid.org/0009-0002-0500-6025"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjoon Jang","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038723822","display_name":"Joon Son Chung","orcid":"https://orcid.org/0000-0001-7741-7275"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joon Son Chung","raw_affiliation_strings":["Korea Advanced Institute of Science and Technology,South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology,South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000060266"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23071673,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9772999882698059,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/facial-recognition-system","display_name":"Facial recognition system","score":0.695063591003418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6594524383544922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6557692885398865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5611424446105957},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.50872403383255},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.45793014764785767},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42597922682762146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34842514991760254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11340150237083435},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.05951276421546936}],"concepts":[{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.695063591003418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6594524383544922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557692885398865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5611424446105957},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.50872403383255},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.45793014764785767},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42597922682762146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34842514991760254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11340150237083435},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.05951276421546936},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg61629.2025.11099389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2194775991","https://openalex.org/W2404498690","https://openalex.org/W2663800299","https://openalex.org/W2737047298","https://openalex.org/W2784163702","https://openalex.org/W2798575809","https://openalex.org/W2808631503","https://openalex.org/W2962827684","https://openalex.org/W2962898354","https://openalex.org/W2963466847","https://openalex.org/W2963495263","https://openalex.org/W2963644257","https://openalex.org/W2963839617","https://openalex.org/W2963976704","https://openalex.org/W2966627337","https://openalex.org/W2969985801","https://openalex.org/W2985380233","https://openalex.org/W3034303554","https://openalex.org/W3038930935","https://openalex.org/W3103977047","https://openalex.org/W3111505403","https://openalex.org/W3120488063","https://openalex.org/W3127511859","https://openalex.org/W3138053481","https://openalex.org/W3178284600","https://openalex.org/W3181414820","https://openalex.org/W4205638705","https://openalex.org/W4214592090","https://openalex.org/W4312402191","https://openalex.org/W4319300360","https://openalex.org/W4385801140","https://openalex.org/W4386083096","https://openalex.org/W4387587734","https://openalex.org/W4387967909","https://openalex.org/W4392903890","https://openalex.org/W4400527556","https://openalex.org/W4400527771","https://openalex.org/W4400527781","https://openalex.org/W4400527810","https://openalex.org/W4400573497","https://openalex.org/W4401807241","https://openalex.org/W4402915778","https://openalex.org/W4403943792","https://openalex.org/W4404575022","https://openalex.org/W4408356038","https://openalex.org/W6630649318","https://openalex.org/W6638046521","https://openalex.org/W6744072679","https://openalex.org/W6748382702","https://openalex.org/W6767264202","https://openalex.org/W6771020541","https://openalex.org/W6785047251","https://openalex.org/W6786563118","https://openalex.org/W6791555302","https://openalex.org/W6848735303","https://openalex.org/W6860457391","https://openalex.org/W6862939797","https://openalex.org/W6863928164","https://openalex.org/W6869907245","https://openalex.org/W6872637991"],"related_works":["https://openalex.org/W641782856","https://openalex.org/W24443521","https://openalex.org/W2471323292","https://openalex.org/W2296759459","https://openalex.org/W2045139758","https://openalex.org/W4205202004","https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"The":[0],"goal":[1],"of":[2,47,84,89,135,177],"this":[3,51],"paper":[4],"is":[5,161],"to":[6,120,163],"enhance":[7],"face":[8,93,148,167],"recognition":[9,149,168,180],"performance":[10],"by":[11],"augmenting":[12],"head":[13],"poses":[14],"during":[15],"the":[16,77,82,128,133,136,178],"testing":[17,39],"phase.":[18],"Existing":[19],"methods":[20],"often":[21],"rely":[22],"on":[23,25,141],"training":[24],"frontalised":[26],"images":[27,104],"or":[28,124,175],"learning":[29],"pose-invariant":[30],"representations,":[31],"yet":[32],"both":[33],"approaches":[34],"typically":[35],"require":[36],"re-training":[37],"and":[38,144],"for":[40,105],"each":[41],"dataset,":[42],"involving":[43],"a":[44,55,72,85,91,115],"substantial":[45],"amount":[46],"effort.":[48],"In":[49],"contrast,":[50],"study":[52],"proposes":[53],"Pose-TTA,":[54],"novel":[56],"approach":[57],"that":[58,75,152],"aligns":[59],"faces":[60],"at":[61],"inference":[62,156],"time":[63],"without":[64],"additional":[65],"training.":[66],"To":[67],"achieve":[68],"this,":[69],"we":[70,113],"employ":[71],"portrait":[73],"animator":[74],"transfers":[76],"source":[78],"image":[79],"identity":[80,109],"into":[81,165],"pose":[83],"driving":[86],"image.":[87],"Instead":[88],"frontalising":[90],"side-profile":[92,103],"-":[94,99],"which":[95],"can":[96],"introduce":[97],"distortion":[98],"Pose-TTA":[100],"generates":[101],"matching":[102],"comparison,":[106],"thereby":[107],"reducing":[108],"information":[110],"loss.":[111],"Furthermore,":[112],"propose":[114],"weighted":[116],"feature":[117],"aggregation":[118],"strategy":[119],"address":[121],"any":[122],"distortions":[123],"biases":[125],"arising":[126],"from":[127],"synthetic":[129],"data,":[130],"thus":[131],"enhancing":[132],"reliability":[134],"augmented":[137],"images.":[138],"Extensive":[139],"experiments":[140],"diverse":[142],"datasets":[143],"with":[145],"various":[146],"pre-trained":[147],"models":[150],"demonstrate":[151],"PoseTTA":[153],"consistently":[154],"improves":[155],"performance.":[157],"Moreover,":[158],"our":[159],"method":[160],"straightforward":[162],"integrate":[164],"existing":[166],"pipelines,":[169],"as":[170],"it":[171],"requires":[172],"no":[173],"retraining":[174],"fine-tuning":[176],"underlying":[179],"models.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
