{"id":"https://openalex.org/W3091766168","doi":"https://doi.org/10.1007/s10489-020-01880-4","title":"A divide-and-unite deep network for person re-identification","display_name":"A divide-and-unite deep network for person re-identification","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3091766168","doi":"https://doi.org/10.1007/s10489-020-01880-4","mag":"3091766168"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01880-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01880-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5100448609","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-1679-5904"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054557971","display_name":"Baopeng Zhang","orcid":"https://orcid.org/0000-0003-2592-2354"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baopeng Zhang","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217154","display_name":"Teng Zhu","orcid":"https://orcid.org/0000-0002-1754-4878"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhu Teng","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728569","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0003-2290-1785"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["AI Lab, Lenovo Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Lab, Lenovo Research, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052217154"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.7303,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.85410679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"51","issue":"3","first_page":"1479","last_page":"1491"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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":0.9962999820709229,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9940000176429749,"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":0.8900407552719116},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7771157026290894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7331950664520264},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6723657250404358},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5629563331604004},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47846198081970215},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4770968556404114},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44148534536361694},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43831509351730347},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43479806184768677},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4345627725124359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4269043207168579},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4240010976791382},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.42317283153533936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42161205410957336},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.41422832012176514},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.41369596123695374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3468858599662781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8900407552719116},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7771157026290894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7331950664520264},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6723657250404358},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5629563331604004},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47846198081970215},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4770968556404114},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44148534536361694},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43831509351730347},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43479806184768677},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4345627725124359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4269043207168579},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4240010976791382},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.42317283153533936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42161205410957336},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.41422832012176514},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.41369596123695374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3468858599662781},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01880-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01880-4","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G4833169795","display_name":"\u6444\u50cf\u673a\u7f51\u7edc\u4e2d\u57fa\u4e8e\u673a\u5668\u89c6\u89c9\u7684\u591a\u76ee\u6807\u8ddf\u8e2a\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61972027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W1967988963","https://openalex.org/W1982925187","https://openalex.org/W2031623949","https://openalex.org/W2046835352","https://openalex.org/W2055289854","https://openalex.org/W2068042582","https://openalex.org/W2096733369","https://openalex.org/W2106053110","https://openalex.org/W2108598243","https://openalex.org/W2109289979","https://openalex.org/W2117060632","https://openalex.org/W2120419212","https://openalex.org/W2135442311","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2259687230","https://openalex.org/W2289130514","https://openalex.org/W2432402544","https://openalex.org/W2491664569","https://openalex.org/W2497344197","https://openalex.org/W2502225121","https://openalex.org/W2511791013","https://openalex.org/W2519338267","https://openalex.org/W2520774990","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2598634450","https://openalex.org/W2604463754","https://openalex.org/W2606377603","https://openalex.org/W2608456260","https://openalex.org/W2724213014","https://openalex.org/W2736410039","https://openalex.org/W2739031953","https://openalex.org/W2755066373","https://openalex.org/W2762262611","https://openalex.org/W2766623491","https://openalex.org/W2768610172","https://openalex.org/W2799156095","https://openalex.org/W2891175865","https://openalex.org/W2941201280","https://openalex.org/W2950240960","https://openalex.org/W2962766801","https://openalex.org/W2962926870","https://openalex.org/W2963289251","https://openalex.org/W2963383990","https://openalex.org/W2963438548","https://openalex.org/W2963637710","https://openalex.org/W2963842104","https://openalex.org/W2963854696","https://openalex.org/W2963899050","https://openalex.org/W2964130064","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2972254343","https://openalex.org/W2975183808","https://openalex.org/W2980827638","https://openalex.org/W3031667669","https://openalex.org/W3098711604","https://openalex.org/W3099206234","https://openalex.org/W3100555577","https://openalex.org/W4200399832","https://openalex.org/W4212817947","https://openalex.org/W6600710366","https://openalex.org/W6607479462","https://openalex.org/W6609917207","https://openalex.org/W6639447227"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2392100589","https://openalex.org/W4205463238","https://openalex.org/W2512789322","https://openalex.org/W2110523656","https://openalex.org/W3128220219"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
