{"id":"https://openalex.org/W2942260310","doi":"https://doi.org/10.1109/vcip.2018.8698620","title":"Deep Network with Spatial and Channel Attention for Person Re-identification","display_name":"Deep Network with Spatial and Channel Attention for Person Re-identification","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2942260310","doi":"https://doi.org/10.1109/vcip.2018.8698620","mag":"2942260310"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2018.8698620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","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/A5100944672","display_name":"Tiansheng Guo","orcid":null},"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":"Tiansheng Guo","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057147465","display_name":"Dongfei Wang","orcid":"https://orcid.org/0000-0002-5947-736X"},"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":"Dongfei Wang","raw_affiliation_strings":["Academy of Broadcasting Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Broadcasting Science, Beijing, China","institution_ids":["https://openalex.org/I4210111085"]}]},{"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":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072795322","display_name":"Aidong Men","orcid":"https://orcid.org/0000-0001-6168-9276"},"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":"Aidong Men","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academy of Broadcasting Science, Beijing, China","institution_ids":["https://openalex.org/I4210111085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9955000281333923,"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":0.9950000047683716,"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":0.8191892504692078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6857554912567139},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6683027148246765},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5870271921157837},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5573416352272034},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5437648296356201},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5231193900108337},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.493505597114563},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47575896978378296},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.46149003505706787},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4270947575569153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.418592244386673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40427568554878235}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8191892504692078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6857554912567139},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6683027148246765},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5870271921157837},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5573416352272034},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5437648296356201},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5231193900108337},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.493505597114563},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47575896978378296},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.46149003505706787},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4270947575569153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.418592244386673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40427568554878235},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2018.8698620","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2018.8698620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1963882359","https://openalex.org/W1982925187","https://openalex.org/W2135442311","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2432402544","https://openalex.org/W2467139031","https://openalex.org/W2583528645","https://openalex.org/W2736410039","https://openalex.org/W2752782242","https://openalex.org/W2963383990","https://openalex.org/W2963420686","https://openalex.org/W2963438548","https://openalex.org/W2963637710","https://openalex.org/W2964163358","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2964346648","https://openalex.org/W3100555577","https://openalex.org/W6618372016","https://openalex.org/W6733567194","https://openalex.org/W6743731764","https://openalex.org/W6765877273"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2392100589","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2512789322","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W3039174484","https://openalex.org/W4287728368"],"abstract_inverted_index":{"Most":[0],"existing":[1],"person":[2,40,114],"re-identification":[3,41,115],"(Re-ID)":[4],"methods":[5,122],"assume":[6],"pedestrian":[7,59],"images":[8],"are":[9],"well-aligned":[10],"within":[11],"tightly":[12],"surrounded":[13],"bounding":[14],"boxes":[15],"or":[16],"require":[17],"additional":[18,45],"annotation":[19],"information":[20],"to":[21,34,56,69],"calibrate":[22],"misaligned":[23],"images.":[24,60],"In":[25],"this":[26,110],"work,":[27],"we":[28,62],"propose":[29],"a":[30,64,117],"novel":[31,111],"deep":[32],"network":[33,55,112],"address":[35],"the":[36,58,71,101,107],"misalignment":[37],"problem":[38],"in":[39,53,92],"task":[42],"without":[43],"requiring":[44],"annotation.":[46],"Spatial":[47],"attention":[48,66],"selection":[49,67],"mechanism":[50,68],"is":[51],"introduced":[52],"our":[54,104],"align":[57],"Moreover,":[61],"present":[63],"channel":[65],"integrate":[70],"global":[72],"image":[73],"feature":[74,78,90],"maps":[75,79],"and":[76,88,97,106,128,131],"regional":[77],"more":[80],"effectively":[81],"by":[82],"explicitly":[83],"modelling":[84],"interdependencies":[85],"between":[86],"channels":[87],"recalibrates":[89],"response":[91],"each":[93],"channel.":[94],"Extensive":[95],"experiments":[96],"comparative":[98],"evaluations":[99],"demonstrate":[100],"effectiveness":[102],"of":[103,109,120],"approach":[105],"superiority":[108],"for":[113],"over":[116],"wide":[118],"variety":[119],"state-of-the-art":[121],"on":[123],"two":[124],"datasets":[125],"including":[126],"Market-1501":[127],"CUHK03(both":[129],"detected":[130],"labeled":[132],"sets).":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
