{"id":"https://openalex.org/W4386618742","doi":"https://doi.org/10.1109/icip49359.2023.10222135","title":"A CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features","display_name":"A CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386618742","doi":"https://doi.org/10.1109/icip49359.2023.10222135"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5109637554","display_name":"Angze Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Angze Li","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023805694","display_name":"Shasha Mao","orcid":"https://orcid.org/0000-0003-3308-1794"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shasha Mao","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064802483","display_name":"Lin Xiong","orcid":"https://orcid.org/0000-0003-3545-227X"},"institutions":[{"id":"https://openalex.org/I4210092218","display_name":"Sensimetrics Corporation","ror":"https://ror.org/00h7y2d26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210092218"]},{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Lin Xiong","raw_affiliation_strings":["Sensetime,Xi'an,China","Sensetime, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sensetime,Xi'an,China","institution_ids":["https://openalex.org/I4210092218"]},{"raw_affiliation_string":"Sensetime, Xi'an, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101277570","display_name":"Mengnan Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengnan Qi","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017247607","display_name":"Shuiping Gou","orcid":"https://orcid.org/0000-0002-2619-6481"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuiping Gou","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xidian University,School of Artificial Intelligence,Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education,Xi'an,China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2355","last_page":"2359"},"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":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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/discriminative-model","display_name":"Discriminative model","score":0.7432091236114502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421225309371948},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6877913475036621},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6703543663024902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6616816520690918},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6021922826766968},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5055415630340576},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5039908289909363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49822306632995605},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.46069949865341187},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4524385929107666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43531864881515503},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41336894035339355},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0695418119430542}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7432091236114502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421225309371948},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6877913475036621},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6703543663024902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6616816520690918},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6021922826766968},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5055415630340576},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5039908289909363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49822306632995605},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.46069949865341187},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4524385929107666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43531864881515503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41336894035339355},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0695418119430542},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip49359.2023.10222135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2204750386","https://openalex.org/W2531440880","https://openalex.org/W2585635281","https://openalex.org/W2593414223","https://openalex.org/W2598915960","https://openalex.org/W2785286326","https://openalex.org/W2798429327","https://openalex.org/W2890159224","https://openalex.org/W2962706983","https://openalex.org/W2962858109","https://openalex.org/W2962963674","https://openalex.org/W2963049565","https://openalex.org/W2963073614","https://openalex.org/W2963266880","https://openalex.org/W2963438548","https://openalex.org/W2963901085","https://openalex.org/W2964002510","https://openalex.org/W2964186374","https://openalex.org/W2991736044","https://openalex.org/W3005066913","https://openalex.org/W3009246260","https://openalex.org/W3034236897","https://openalex.org/W3035515747","https://openalex.org/W3096285474","https://openalex.org/W3103352455","https://openalex.org/W3177342236","https://openalex.org/W6728374919","https://openalex.org/W6738824914","https://openalex.org/W6754663736"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W2392100589","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2512789322","https://openalex.org/W4396941953","https://openalex.org/W2987280934"],"abstract_inverted_index":{"For":[0],"GAN-based":[1],"Person":[2],"Re-identification":[3],"(Re-ID),":[4],"the":[5,22,32,46,69,83,92,104,111,120,131,145,150,160,171],"key":[6],"is":[7,100,122,141],"to":[8,45,102,143],"generate":[9,52],"pedestrian":[10,36,53,134],"images":[11,54,177],"with":[12],"higher":[13],"identity":[14,146],"consistency":[15,147],"and":[16,40,67,85,109,128,157,178],"meanwhile":[17,158],"larger":[18],"intra-class":[19,161],"diversity.":[20],"Generally,":[21],"main":[23],"discriminative":[24],"parts":[25,127],"focus":[26],"on":[27,57,72],"some":[28],"local":[29,65,86,98,107,115,126],"regions":[30,66,154],"from":[31,130],"foreground":[33,121],"of":[34,106,113,152],"each":[35],"image":[37],"for":[38],"Re-ID,":[39],"they":[41],"should":[42],"be":[43],"irrelevant":[44],"background.":[47,70],"Whereas,":[48],"most":[49],"existing":[50],"methods":[51],"only":[55],"based":[56],"global":[58,84],"features,":[59],"which":[60,82],"difficultly":[61],"achieves":[62],"emphasizing":[63],"crucial":[64,114,153],"weakening":[68],"Based":[71],"this,":[73],"we":[74],"propose":[75],"a":[76,137],"CAM-enhancing":[77,97],"generative":[78],"Re-ID":[79,179],"method":[80,173],"in":[81,117,155],"features":[87,116],"are":[88],"jointly":[89],"used.":[90],"In":[91],"proposed":[93,142,172],"method,":[94],"an":[95],"adaptive":[96],"encoder":[99],"designed":[101],"explore":[103],"significance":[105],"appearances":[108],"enhance":[110],"effect":[112],"generations,":[118],"where":[119],"divided":[123],"into":[124],"multiple":[125],"separated":[129],"background":[132],"by":[133,148,163],"segmentation.":[135],"Moreover,":[136],"new":[138],"generation":[139,176],"loss":[140],"supervise":[144],"reducing":[149],"inconsistency":[151],"foregrounds":[156],"enrich":[159],"diversity":[162],"generating":[164],"variant":[165],"backgrounds.":[166],"Experimental":[167],"results":[168],"indicate":[169],"that":[170],"obtains":[174],"better":[175],"performance":[180],"than":[181],"other":[182],"methods.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
