{"id":"https://openalex.org/W2891520998","doi":"https://doi.org/10.1109/icip.2018.8451645","title":"Person Re-Identification by Deep Learning Muti-Part Information Complementary","display_name":"Person Re-Identification by Deep Learning Muti-Part Information Complementary","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2891520998","doi":"https://doi.org/10.1109/icip.2018.8451645","mag":"2891520998"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5050750924","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0003-1128-4099"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002774811","display_name":"Zhuqing Jiang","orcid":"https://orcid.org/0000-0001-6308-5708"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuqing Jiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864522","display_name":"Xiaoqiang Guo","orcid":"https://orcid.org/0000-0003-2355-0569"},"institutions":[{"id":"https://openalex.org/I4210111085","display_name":"Academy of Broadcasting Science","ror":"https://ror.org/01z4nez64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Guo","raw_affiliation_strings":["Academy of Broadcasting Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Academy of Broadcasting Science, Beijing, China","institution_ids":["https://openalex.org/I4210111085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101550975","display_name":"Yun Zhou","orcid":"https://orcid.org/0000-0002-7466-4593"},"institutions":[{"id":"https://openalex.org/I4210111085","display_name":"Academy of Broadcasting Science","ror":"https://ror.org/01z4nez64","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210111085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhou","raw_affiliation_strings":["Academy of Broadcasting Science, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Academy of Broadcasting Science, Beijing, China","institution_ids":["https://openalex.org/I4210111085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050750924"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6268,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74276322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"848","last_page":"852"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9952999949455261,"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":0.9933000206947327,"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":0.8027561902999878},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7226138114929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7187089323997498},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6964442133903503},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6671320199966431},{"id":"https://openalex.org/keywords/disjoint-sets","display_name":"Disjoint sets","score":0.6348071098327637},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.587797999382019},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5762157440185547},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5679113268852234},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5240787863731384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.501593828201294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4821174144744873},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.470899373292923},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32730621099472046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027561902999878},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7226138114929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7187089323997498},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6964442133903503},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6671320199966431},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.6348071098327637},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.587797999382019},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5762157440185547},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5679113268852234},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5240787863731384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.501593828201294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4821174144744873},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.470899373292923},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32730621099472046},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":34,"referenced_works":["https://openalex.org/W166429404","https://openalex.org/W1602182271","https://openalex.org/W1920259731","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1979260620","https://openalex.org/W1982925187","https://openalex.org/W2068042582","https://openalex.org/W2113609219","https://openalex.org/W2155893237","https://openalex.org/W2169495281","https://openalex.org/W2204750386","https://openalex.org/W2259687230","https://openalex.org/W2300840837","https://openalex.org/W2467139031","https://openalex.org/W2491664569","https://openalex.org/W2502225121","https://openalex.org/W2584637367","https://openalex.org/W2751519608","https://openalex.org/W2963911037","https://openalex.org/W3098711604","https://openalex.org/W3100555577","https://openalex.org/W6606760634","https://openalex.org/W6636160605","https://openalex.org/W6638444622","https://openalex.org/W6640668838","https://openalex.org/W6646071477","https://openalex.org/W6677018275","https://openalex.org/W6684704328","https://openalex.org/W6692470526","https://openalex.org/W6722869231","https://openalex.org/W6724544503","https://openalex.org/W6784740494","https://openalex.org/W6785573882"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(Re-ID)":[2],"aims":[3],"to":[4,53,77,80,93],"identify":[5],"people":[6],"across":[7],"disjoint":[8],"camera":[9],"views,":[10],"which":[11,43],"is":[12,32],"considered":[13],"either":[14],"a":[15,20,59,71,89],"binary":[16],"classification":[17],"task":[18],"or":[19],"ranking":[21,96],"task.":[22,61],"However,":[23],"the":[24,33,55,65,82,95,112,115],"importance":[25],"of":[26,70,114],"feature":[27,84],"extracting":[28],"in":[29],"both":[30],"tasks":[31],"same.":[34],"In":[35,62],"this":[36],"paper,":[37],"we":[38,87],"introduce":[39],"Global-Part":[40],"Network":[41],"(GPN)":[42],"employ":[44],"multi-part":[45],"information":[46],"fusion":[47],"with":[48],"Feature":[49],"Weighting":[50],"Structure":[51],"(FWS)":[52],"address":[54],"person":[56,73],"Re-ID":[57],"as":[58],"retrieval":[60],"our":[63],"framework,":[64],"global":[66],"and":[67,101],"body-part":[68],"features":[69],"specific":[72],"can":[74],"be":[75],"complementary":[76],"each":[78],"other":[79],"enhance":[81],"final":[83],"representation.":[85],"Furthermore,":[86],"utilize":[88],"state-of-the-art":[90],"re-ranking":[91],"method":[92],"improve":[94],"performance.":[97],"Extensive":[98],"experimental":[99],"analyses":[100],"results":[102],"on":[103],"three":[104],"popular":[105],"datasets,":[106],"i.e.,":[107],"Market1501,":[108],"CUHK03,":[109],"CUHK01,":[110],"demonstrate":[111],"effectiveness":[113],"proposed":[116],"approach.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
