{"id":"https://openalex.org/W2970831327","doi":"https://doi.org/10.1109/icip.2019.8804399","title":"Multi-Similarity Re-Ranking for Person Re-Identification","display_name":"Multi-Similarity Re-Ranking for Person Re-Identification","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970831327","doi":"https://doi.org/10.1109/icip.2019.8804399","mag":"2970831327"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8804399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8804399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5060785002","display_name":"Longxiang Jiang","orcid":"https://orcid.org/0000-0003-0699-9989"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxiang Jiang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748496","display_name":"Chao Liang","orcid":"https://orcid.org/0000-0002-8287-8655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114113407","display_name":"Dongshu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongshu Xu","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101949151","display_name":"Wenxin Huang","orcid":"https://orcid.org/0000-0001-8683-7327"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Huang","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0915,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.34977667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1212","last_page":"1216"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9970999956130981,"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/similarity","display_name":"Similarity (geometry)","score":0.6526453495025635},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6127897500991821},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6012734770774841},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5978330373764038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5929697751998901},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4848109781742096},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4768720269203186},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47100797295570374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46146920323371887},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4518147110939026},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.42683878540992737},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.42243483662605286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.420302152633667},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.411538302898407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3604169487953186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3238679766654968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.210808664560318},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.125033438205719},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10482794046401978}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6526453495025635},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6127897500991821},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6012734770774841},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5978330373764038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5929697751998901},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4848109781742096},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4768720269203186},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47100797295570374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46146920323371887},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4518147110939026},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.42683878540992737},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.42243483662605286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.420302152633667},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.411538302898407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3604169487953186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3238679766654968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.210808664560318},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.125033438205719},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10482794046401978},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical 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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8804399","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8804399","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1483634300","https://openalex.org/W1982925187","https://openalex.org/W2043409787","https://openalex.org/W2052184388","https://openalex.org/W2120419212","https://openalex.org/W2125003829","https://openalex.org/W2131791003","https://openalex.org/W2140844045","https://openalex.org/W2142992480","https://openalex.org/W2149991777","https://openalex.org/W2154455818","https://openalex.org/W2163605009","https://openalex.org/W2166688141","https://openalex.org/W2194775991","https://openalex.org/W2242818826","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2559091987","https://openalex.org/W2584637367","https://openalex.org/W2604211872","https://openalex.org/W2747685395","https://openalex.org/W2780643544","https://openalex.org/W2798794112","https://openalex.org/W2799712919","https://openalex.org/W2963161580","https://openalex.org/W2963322158","https://openalex.org/W2963901085","https://openalex.org/W2998508940","https://openalex.org/W6628964841","https://openalex.org/W6678847292","https://openalex.org/W6679655593","https://openalex.org/W6682494755","https://openalex.org/W6684191040","https://openalex.org/W6684215840","https://openalex.org/W6725558437","https://openalex.org/W6728374919","https://openalex.org/W6743440100","https://openalex.org/W6746003717","https://openalex.org/W6750767947"],"related_works":["https://openalex.org/W3158160956","https://openalex.org/W2087255219","https://openalex.org/W3083535547","https://openalex.org/W3127476161","https://openalex.org/W3014958591","https://openalex.org/W2906823136","https://openalex.org/W2519753245","https://openalex.org/W2071864906","https://openalex.org/W2130538623","https://openalex.org/W2510970676","https://openalex.org/W3137527034","https://openalex.org/W2400247096","https://openalex.org/W3197404776","https://openalex.org/W2728139098","https://openalex.org/W2552728110","https://openalex.org/W1992404395","https://openalex.org/W2508122452","https://openalex.org/W2971101812","https://openalex.org/W2145883103","https://openalex.org/W2406212790"],"abstract_inverted_index":{"Re-ranking":[0],"has":[1],"been":[2],"proved":[3],"an":[4],"effective":[5],"method":[6,65,126],"to":[7,22,72],"boost":[8],"the":[9,24,39,43,80],"performance":[10],"of":[11,114],"person":[12,120,132],"re-identification.":[13,133],"Existing":[14],"works":[15],"focus":[16],"on":[17,32,46,83,118],"contextual":[18,70,98],"or":[19],"graph-based":[20,84,100],"similarity":[21,35,71],"improve":[23],"initial":[25,88],"ranking":[26],"result.":[27],"The":[28],"former":[29],"mainly":[30],"concentrates":[31],"more":[33],"accurate":[34,55],"description":[36],"but":[37,77],"neglects":[38],"manifold":[40,50],"constraint.":[41],"While,":[42],"later":[44],"centers":[45],"solving":[47],"similarities":[48,101],"with":[49,108],"constraint,":[51],"which":[52,66],"acquires":[53],"several":[54],"top":[56,74],"ranks.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,96],"propose":[62],"a":[63,92,109],"novel":[64],"not":[67],"only":[68],"takes":[69],"generate":[73],"ranks":[75,81],"accurately":[76],"also":[78],"refines":[79],"based":[82],"similarity.":[85],"Specifically,":[86],"given":[87],"Euclidean":[89],"distances":[90],"between":[91],"probe":[93],"and":[94,99,103],"galleries,":[95],"mine":[97],"respectively":[102],"then":[104],"re-rank":[105],"all":[106],"galleries":[107],"diffusion":[110],"procedure":[111],"under":[112],"constraints":[113],"both":[115],"similarities.":[116],"Experiments":[117],"two":[119],"re-ID":[121],"datasets":[122],"demonstrate":[123],"that":[124],"our":[125],"outperforms":[127],"state-of-the-art":[128],"re-ranking":[129],"approaches":[130],"in":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
