{"id":"https://openalex.org/W2513529749","doi":"https://doi.org/10.1109/icip.2016.7532909","title":"Spatio-temporal representation for face authentication by using multi-task learning with human attributes","display_name":"Spatio-temporal representation for face authentication by using multi-task learning with human attributes","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513529749","doi":"https://doi.org/10.1109/icip.2016.7532909","mag":"2513529749"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5100646694","display_name":"Seong Tae Kim","orcid":"https://orcid.org/0000-0002-2132-6021"},"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":"Seong Tae Kim","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055987476","display_name":"Dae Hoe Kim","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":false,"raw_author_name":"Dae Hoe Kim","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038798134","display_name":"Yong Man Ro","orcid":"https://orcid.org/0000-0001-5306-6853"},"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":"Yong Man Ro","raw_affiliation_strings":["Image and Video Systems Lab, KAIST, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image and Video Systems Lab, KAIST, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.8052,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.85405245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2996","last_page":"3000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9984999895095825,"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":0.996399998664856,"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":0.8191545009613037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6794360876083374},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6589558124542236},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.648240864276886},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.588991641998291},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5882872939109802},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.576119065284729},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5706465840339661},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.548878014087677},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5359882116317749},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.47192811965942383},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.45548146963119507},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.43470853567123413},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.41215255856513977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41032958030700684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720690608024597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10153400897979736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8191545009613037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6794360876083374},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6589558124542236},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.648240864276886},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.588991641998291},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5882872939109802},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.576119065284729},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5706465840339661},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.548878014087677},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5359882116317749},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.47192811965942383},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.45548146963119507},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.43470853567123413},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.41215255856513977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41032958030700684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720690608024597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10153400897979736},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532909","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532909","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311618","display_name":"FACE Foundation","ror":"https://ror.org/04121g745"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W24002952","https://openalex.org/W297909767","https://openalex.org/W1522301498","https://openalex.org/W1596560700","https://openalex.org/W1665214252","https://openalex.org/W1795776638","https://openalex.org/W1834627138","https://openalex.org/W1983364832","https://openalex.org/W1991385629","https://openalex.org/W1999533590","https://openalex.org/W2005238576","https://openalex.org/W2005539193","https://openalex.org/W2072128103","https://openalex.org/W2075653313","https://openalex.org/W2077389880","https://openalex.org/W2084737287","https://openalex.org/W2094214226","https://openalex.org/W2109786901","https://openalex.org/W2112724657","https://openalex.org/W2121106047","https://openalex.org/W2121684305","https://openalex.org/W2138254963","https://openalex.org/W2139916508","https://openalex.org/W2145287260","https://openalex.org/W2148350243","https://openalex.org/W2153635508","https://openalex.org/W2155893237","https://openalex.org/W2163546575","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2168890712","https://openalex.org/W2536626143","https://openalex.org/W2964121744","https://openalex.org/W4231109964","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638243389","https://openalex.org/W6638891565","https://openalex.org/W6684191040","https://openalex.org/W7062127157"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W1671124163","https://openalex.org/W2168674042","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2535275505","https://openalex.org/W3030774134","https://openalex.org/W4391266461","https://openalex.org/W2104321465","https://openalex.org/W4250384982"],"abstract_inverted_index":{"For":[0],"human":[1,52,65,104],"identification,":[2],"facial":[3,22,98],"motion":[4,23],"is":[5],"useful":[6],"in":[7],"representing":[8],"specific":[9],"dynamic":[10],"signature.":[11],"In":[12],"this":[13],"paper,":[14],"we":[15],"present":[16],"an":[17],"effective":[18],"spatio-temporal":[19],"representation":[20],"from":[21],"as":[24,26],"well":[25],"appearance":[27,99],"by":[28,95],"devising":[29],"a":[30,47],"3D":[31,73],"convolutional":[32],"neural":[33],"network":[34],"(CNN).":[35],"To":[36],"maintain":[37],"the":[38,72,80,84,87],"intra-class":[39],"invariance":[40],"with":[41,51,102],"limited":[42],"number":[43],"of":[44,86],"training":[45],"samples,":[46],"multi-task":[48],"learning":[49],"approach":[50],"attributes,":[53],"which":[54],"are":[55],"high-level":[56],"semantic":[57],"descriptions":[58],"for":[59],"identity,":[60],"has":[61,77],"been":[62],"proposed.":[63],"Identity-related":[64],"attributes":[66],"can":[67],"be":[68],"leveraged":[69],"to":[70,92],"learn":[71],"CNN.":[74],"Comparative":[75],"experiment":[76],"showed":[78],"that":[79],"proposed":[81],"method":[82],"improves":[83],"performance":[85],"face-based":[88],"authentication":[89],"system":[90],"compared":[91],"conventional":[93],"methods":[94],"effectively":[96],"encoding":[97],"and":[100],"motions":[101],"identity-related":[103],"attributes.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}