{"id":"https://openalex.org/W2790102193","doi":"https://doi.org/10.1109/isba.2018.8311470","title":"Pooling body parts on feature maps for misalignment robust person re-identification","display_name":"Pooling body parts on feature maps for misalignment robust person re-identification","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2790102193","doi":"https://doi.org/10.1109/isba.2018.8311470","mag":"2790102193"},"language":"en","primary_location":{"id":"doi:10.1109/isba.2018.8311470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2018.8311470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA)","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/A5100364313","display_name":"Yuting Liu","orcid":"https://orcid.org/0000-0001-9940-3667"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuting Liu","raw_affiliation_strings":["National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Zhao","raw_affiliation_strings":["National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103199684","display_name":"Zhihong Wu","orcid":"https://orcid.org/0000-0003-4478-4276"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Wu","raw_affiliation_strings":["National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100364313"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59825766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"8"},"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":0.9976000189781189,"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":0.9975000023841858,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8171018958091736},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7888364791870117},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7742155194282532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365131378173828},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6533738374710083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6283169984817505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6067312359809875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5856159329414368},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5774313807487488},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5420128107070923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5347617864608765},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15727609395980835}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8171018958091736},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7888364791870117},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7742155194282532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365131378173828},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6533738374710083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6283169984817505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6067312359809875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5856159329414368},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5774313807487488},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5420128107070923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5347617864608765},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15727609395980835},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isba.2018.8311470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isba.2018.8311470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W9364628","https://openalex.org/W41482161","https://openalex.org/W46454230","https://openalex.org/W166429404","https://openalex.org/W1536680647","https://openalex.org/W1596233070","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1971955426","https://openalex.org/W1982925187","https://openalex.org/W2033453961","https://openalex.org/W2047632871","https://openalex.org/W2066380143","https://openalex.org/W2068042582","https://openalex.org/W2106848651","https://openalex.org/W2108598243","https://openalex.org/W2120419212","https://openalex.org/W2125889200","https://openalex.org/W2126791727","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2220271458","https://openalex.org/W2289130514","https://openalex.org/W2342611082","https://openalex.org/W2467139031","https://openalex.org/W2502225121","https://openalex.org/W2553498075","https://openalex.org/W2583528645","https://openalex.org/W2604463754","https://openalex.org/W2606377603","https://openalex.org/W2620998106","https://openalex.org/W2950094539","https://openalex.org/W2963637710","https://openalex.org/W2964289004","https://openalex.org/W2964304707","https://openalex.org/W3098711604","https://openalex.org/W6601733005","https://openalex.org/W6601887387","https://openalex.org/W6606760634","https://openalex.org/W6646071477","https://openalex.org/W6678517311","https://openalex.org/W6678599689","https://openalex.org/W6684191040","https://openalex.org/W6730370473","https://openalex.org/W6736370658"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Misalignment":[0],"caused":[1],"by":[2,86],"poorly":[3,140],"detected":[4,31],"bounding":[5],"boxes":[6],"or":[7,35,44],"varying":[8],"poses":[9],"of":[10],"human":[11,48,84],"bodies":[12,59,85],"is":[13],"a":[14,68],"critical":[15],"challenge":[16],"to":[17,47,74,106],"robust":[18,77],"person":[19,78],"re-identification":[20],"(re-ID)":[21],"systems.":[22],"Most":[23],"previous":[24],"works":[25],"extract":[26],"features":[27,89,105],"either":[28],"from":[29,36,56],"the":[30,83,88,91,100,109,129],"entire":[32],"pedestrian":[33,142],"images":[34],"local":[37,104],"image":[38],"patches":[39],"that":[40,123],"are":[41],"globally":[42],"aligned":[43,103,141],"cropped":[45],"according":[46],"body":[49,92],"landmarks.":[50],"However,":[51],"these":[52],"methods":[53],"still":[54],"suffer":[55],"misalignment":[57,76,130],"ofhuman":[58],"in":[60],"different":[61],"images.":[62,143],"In":[63],"this":[64],"paper,":[65],"we":[66],"present":[67],"Deep":[69],"Joint":[70],"Learning":[71],"(DJL)":[72],"network":[73],"fulfill":[75],"re-ID.":[79],"It":[80],"locally":[81],"aligns":[82],"pooling":[87],"around":[90],"parts":[93],"on":[94,117,139],"feature":[95,113],"maps,":[96],"and":[97,102,119,134],"jointly":[98],"optimizes":[99],"global":[101],"further":[107],"enhance":[108],"discriminative":[110],"capability":[111],"oflearned":[112],"representations.":[114],"Experimental":[115],"results":[116],"Market-1501":[118],"CUHK03":[120],"datasets":[121],"show":[122],"our":[124],"method":[125],"can":[126],"effectively":[127],"handle":[128],"induced":[131],"intra-class":[132],"variations":[133],"yield":[135],"competitive":[136],"accuracy":[137],"particularly":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}