{"id":"https://openalex.org/W1955369839","doi":"https://doi.org/10.1109/cvpr.2015.7298667","title":"Rotating your face using multi-task deep neural network","display_name":"Rotating your face using multi-task deep neural network","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1955369839","doi":"https://doi.org/10.1109/cvpr.2015.7298667","mag":"1955369839"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5044320085","display_name":"Junho Yim","orcid":null},"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":"Junho Yim","raw_affiliation_strings":["KAIST, School of Electrical Engineering, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Electrical Engineering, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064276223","display_name":"Heechul Jung","orcid":"https://orcid.org/0000-0002-3005-2560"},"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":"Heechul Jung","raw_affiliation_strings":["KAIST, School of Electrical Engineering, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Electrical Engineering, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103182148","display_name":"ByungIn Yoo","orcid":"https://orcid.org/0000-0002-8252-8700"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]},{"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":"ByungIn Yoo","raw_affiliation_strings":["KAIST, School of Electrical Engineering, South Korea","Samsung Advanced Institute of Technology"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Electrical Engineering, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Samsung Advanced Institute of Technology","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038985661","display_name":"Changkyu Choi","orcid":"https://orcid.org/0000-0002-7087-4518"},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changkyu Choi","raw_affiliation_strings":["Samsung Advanced Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109944336","display_name":"Du\u2010Sik Park","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dusik Park","raw_affiliation_strings":["Samsung Advanced Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606266","display_name":"Junmo Kim","orcid":"https://orcid.org/0000-0002-7174-7932"},"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":"Junmo Kim","raw_affiliation_strings":["KAIST, School of Electrical Engineering, South Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, School of Electrical Engineering, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5044320085"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":20.2505,"has_fulltext":false,"cited_by_count":301,"citation_normalized_percentile":{"value":0.99514254,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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/T10828","display_name":"Biometric Identification and Security","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7969058752059937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7615694999694824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6511666178703308},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6284158229827881},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6196614503860474},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5422755479812622},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5355982780456543},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.463544100522995},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.45838043093681335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45221981406211853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4358741044998169},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.428857684135437},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4167099595069885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10248658061027527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.060287415981292725}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7969058752059937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7615694999694824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6511666178703308},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6284158229827881},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6196614503860474},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5422755479812622},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5355982780456543},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.463544100522995},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.45838043093681335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45221981406211853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4358741044998169},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.428857684135437},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4167099595069885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10248658061027527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.060287415981292725},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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":33,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1782590233","https://openalex.org/W1896424170","https://openalex.org/W1980216075","https://openalex.org/W2061572659","https://openalex.org/W2078224158","https://openalex.org/W2090767496","https://openalex.org/W2102674365","https://openalex.org/W2113120414","https://openalex.org/W2114588272","https://openalex.org/W2117130368","https://openalex.org/W2131024102","https://openalex.org/W2135016226","https://openalex.org/W2137857332","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2147800946","https://openalex.org/W2148714246","https://openalex.org/W2151103935","https://openalex.org/W2153169342","https://openalex.org/W2162458225","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2165731615","https://openalex.org/W2187089797","https://openalex.org/W2912990735","https://openalex.org/W2951478888","https://openalex.org/W2952309299","https://openalex.org/W6637373629","https://openalex.org/W6638046521","https://openalex.org/W6679513098","https://openalex.org/W6681239517","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W4387967917","https://openalex.org/W4387968151","https://openalex.org/W4386925306","https://openalex.org/W3132124459","https://openalex.org/W2946083937","https://openalex.org/W2894986065","https://openalex.org/W2132337154","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Face":[0],"recognition":[1,148],"under":[2],"viewpoint":[3],"and":[4,24,36,94,142],"illumination":[5,37,95],"changes":[6],"is":[7,59],"a":[8,60,66,72,86],"difficult":[9],"problem,":[10],"so":[11],"many":[12],"researchers":[13],"have":[14],"tried":[15],"to":[16,39,44,85],"solve":[17],"this":[18,51],"problem":[19],"by":[20,106,156],"producing":[21],"the":[22,40,47,107,121,128,139,145,153,161],"pose-":[23],"illumination-":[25],"invariant":[26,48],"feature.":[27,49],"Zhu":[28],"et":[29],"al.":[30],"[26]":[31],"changed":[32],"all":[33,127],"arbitrary":[34,92],"pose":[35,57,93,102,131],"images":[38],"frontal":[41],"view":[42],"image":[43,58,89,96],"use":[45],"for":[46,138],"In":[50],"scheme,":[52],"preserving":[53,98],"identity":[54,118],"while":[55,97],"rotating":[56,84],"crucial":[61],"issue.":[62],"This":[63,110],"paper":[64],"proposes":[65],"new":[67],"deep":[68],"architecture":[69],"based":[70],"on":[71,160],"novel":[73,111],"type":[74,112],"of":[75,113],"multitask":[76],"learning,":[77],"which":[78],"can":[79,103],"achieve":[80],"superior":[81],"performance":[82],"in":[83],"target-pose":[87],"face":[88,147],"from":[90],"an":[91],"identity.":[99],"The":[100],"target":[101],"be":[104],"controlled":[105,130],"user's":[108],"intention.":[109],"multi-task":[114],"model":[115],"significantly":[116],"improves":[117],"preservation":[119],"over":[120],"single":[122],"task":[123],"model.":[124],"By":[125],"using":[126],"synthesized":[129],"images,":[132],"called":[133],"Controlled":[134],"Pose":[135],"Image":[136],"(CPI),":[137],"pose-illumination-invariant":[140],"feature":[141],"voting":[143],"among":[144],"multiple":[146],"results,":[149],"we":[150],"clearly":[151],"outperform":[152],"state-of-the-art":[154],"algorithms":[155],"more":[157],"than":[158],"4~6%":[159],"MultiPIE":[162],"dataset.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":45},{"year":2019,"cited_by_count":56},{"year":2018,"cited_by_count":43},{"year":2017,"cited_by_count":33},{"year":2016,"cited_by_count":30},{"year":2015,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}