{"id":"https://openalex.org/W2990941955","doi":"https://doi.org/10.1109/avss.2019.8909892","title":"What Makes You Look Like You: Learning an Inherent Feature Representation for Person Re-Identification","display_name":"What Makes You Look Like You: Learning an Inherent Feature Representation for Person Re-Identification","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990941955","doi":"https://doi.org/10.1109/avss.2019.8909892","mag":"2990941955"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2019.8909892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5020435776","display_name":"Wen-Li Wei","orcid":"https://orcid.org/0000-0002-6753-2824"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Li Wei","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077668438","display_name":"Jen\u2010Chun Lin","orcid":"https://orcid.org/0000-0002-9237-4119"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Chun Lin","raw_affiliation_strings":["Research Center for IT Innovation, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for IT Innovation, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002217153","display_name":"Yen\u2010Yu Lin","orcid":"https://orcid.org/0000-0002-7183-6070"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Yu Lin","raw_affiliation_strings":["Department of Electrical Engineering, Yuan Ze University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Yuan Ze University, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108538229","display_name":"Hong-Yuan Mark Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Yuan Mark Liao","raw_affiliation_strings":["Taiwan Institute of Information Science, Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Taiwan Institute of Information Science, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020435776"],"corresponding_institution_ids":["https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4592285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T10331","display_name":"Video Surveillance and Tracking Methods","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/T11448","display_name":"Face recognition and analysis","score":0.9987999796867371,"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":0.9937999844551086,"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/computer-science","display_name":"Computer science","score":0.8376960754394531},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.8109205961227417},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7517983913421631},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7430711388587952},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6506222486495972},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6299689412117004},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6293100118637085},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5789015889167786},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5673402547836304},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5512462854385376},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5458848476409912},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5183904767036438},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06930696964263916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376960754394531},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.8109205961227417},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7517983913421631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7430711388587952},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6506222486495972},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6299689412117004},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6293100118637085},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5789015889167786},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5673402547836304},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5512462854385376},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5458848476409912},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5183904767036438},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06930696964263916},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss.2019.8909892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2019.8909892","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1928419358","https://openalex.org/W1971955426","https://openalex.org/W2057228822","https://openalex.org/W2117539524","https://openalex.org/W2163922914","https://openalex.org/W2371978797","https://openalex.org/W2394773966","https://openalex.org/W2432402544","https://openalex.org/W2467139031","https://openalex.org/W2479531384","https://openalex.org/W2502225121","https://openalex.org/W2519373641","https://openalex.org/W2527254703","https://openalex.org/W2598634450","https://openalex.org/W2606377603","https://openalex.org/W2608456260","https://openalex.org/W2612166593","https://openalex.org/W2762262611","https://openalex.org/W2769346661","https://openalex.org/W2796364723","https://openalex.org/W2798737220","https://openalex.org/W2953684117","https://openalex.org/W2962691289","https://openalex.org/W2962766801","https://openalex.org/W2962926870","https://openalex.org/W2963322158","https://openalex.org/W2964121744","https://openalex.org/W2967515867","https://openalex.org/W3100555577","https://openalex.org/W6724544503","https://openalex.org/W6750039409","https://openalex.org/W6756339630","https://openalex.org/W6760507847"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":{"In":[0],"this":[1,49],"work,":[2],"we":[3,51],"address":[4],"person":[5,31,63,88,121],"re-identification":[6],"(ReID)":[7],"by":[8,75],"learning":[9,54],"an":[10],"inherent":[11,59],"feature":[12],"representation":[13],"(inherent":[14],"code)":[15],"that":[16,81],"is":[17,24,73],"unique":[18],"to":[19,36,56,95,103],"each":[20,62,100,115],"individual.":[21],"This":[22],"task":[23],"difficult":[25],"because":[26],"the":[27,58,69,78,83,86,92,107,127],"appearance":[28],"of":[29,85,131],"a":[30,111],"may":[32],"vary":[33],"dramatically":[34],"due":[35],"diverse":[37],"factors,":[38],"such":[39,104],"as":[40],"illuminations,":[41],"viewpoints,":[42],"and":[43,117,129],"human":[44],"pose":[45],"changes.":[46],"To":[47],"tackle":[48],"issue,":[50],"propose":[52],"new":[53],"objectives":[55,80],"learn":[57],"code":[60,113],"for":[61,114],"based":[64],"on":[65],"deep":[66],"learning.":[67],"Specifically,":[68],"proposed":[70,133],"deep-net":[71,108],"model":[72,109],"trained":[74],"jointly":[76],"optimizing":[77],"multiple":[79],"pulls":[82],"instances":[84,93],"same":[87],"closer":[89],"while":[90],"pushing":[91],"belonging":[94],"different":[96],"persons":[97],"far":[98],"from":[99],"other.":[101],"Owing":[102],"complementary":[105],"designs,":[106],"yields":[110],"robust":[112],"individual":[116],"hence":[118],"better":[119],"solve":[120],"ReID.":[122],"Promising":[123],"experimental":[124],"results":[125],"demonstrate":[126],"robustness":[128],"effectiveness":[130],"our":[132],"method.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
