{"id":"https://openalex.org/W2997534673","doi":"https://doi.org/10.1007/s11263-019-01274-1","title":"Scalable Person Re-Identification by Harmonious Attention","display_name":"Scalable Person Re-Identification by Harmonious Attention","publication_year":2019,"publication_date":"2019-12-23","ids":{"openalex":"https://openalex.org/W2997534673","doi":"https://doi.org/10.1007/s11263-019-01274-1","mag":"2997534673"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-019-01274-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-019-01274-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-019-01274-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11263-019-01274-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090501915","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-3947-4495"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643592","display_name":"Xiatian Zhu","orcid":"https://orcid.org/0000-0002-9284-2955"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xiatian Zhu","raw_affiliation_strings":["Vision Semantics Limited, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"Vision Semantics Limited, London, E1 4NS, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039302902","display_name":"Shaogang Gong","orcid":"https://orcid.org/0000-0001-8156-2299"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shaogang Gong","raw_affiliation_strings":["School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028643592"],"corresponding_institution_ids":[],"apc_list":{"value":2890,"currency":"EUR","value_usd":3690},"apc_paid":{"value":2890,"currency":"EUR","value_usd":3690},"fwci":1.9411,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.89542381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"128","issue":"6","first_page":"1635","last_page":"1653"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9943000078201294,"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":0.9918000102043152,"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":0.8643474578857422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7209532260894775},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.704207181930542},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6841850876808167},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6713451147079468},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6303673982620239},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5877233743667603},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5570613741874695},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5465843081474304},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.536780059337616},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46571850776672363},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4631717801094055},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44853007793426514},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43387019634246826},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41523319482803345},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4100399911403656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3355526328086853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8643474578857422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7209532260894775},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.704207181930542},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6841850876808167},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6713451147079468},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6303673982620239},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5877233743667603},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5570613741874695},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5465843081474304},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.536780059337616},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46571850776672363},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4631717801094055},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44853007793426514},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43387019634246826},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41523319482803345},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4100399911403656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3355526328086853},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11263-019-01274-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-019-01274-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-019-01274-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/64518","is_oa":true,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/64518","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1007/s11263-019-01274-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11263-019-01274-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11263-019-01274-1.pdf","source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3115984565","display_name":null,"funder_award_id":"NA150459","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G8589651859","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320311061","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997534673.pdf","grobid_xml":"https://content.openalex.org/works/W2997534673.grobid-xml"},"referenced_works_count":126,"referenced_works":["https://openalex.org/W1549358575","https://openalex.org/W1709635438","https://openalex.org/W1821462560","https://openalex.org/W1902934009","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W1951304353","https://openalex.org/W1963702692","https://openalex.org/W1982925187","https://openalex.org/W2024165284","https://openalex.org/W2046835352","https://openalex.org/W2066380143","https://openalex.org/W2089074647","https://openalex.org/W2096733369","https://openalex.org/W2100831964","https://openalex.org/W2106848651","https://openalex.org/W2108997568","https://openalex.org/W2114766824","https://openalex.org/W2143104527","https://openalex.org/W2156150815","https://openalex.org/W2161591461","https://openalex.org/W2163605009","https://openalex.org/W2165644552","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2235916736","https://openalex.org/W2267635276","https://openalex.org/W2274287116","https://openalex.org/W2279098554","https://openalex.org/W2300242332","https://openalex.org/W2300840837","https://openalex.org/W2327827989","https://openalex.org/W2342611082","https://openalex.org/W2432402544","https://openalex.org/W2441160157","https://openalex.org/W2471048925","https://openalex.org/W2502225121","https://openalex.org/W2511556322","https://openalex.org/W2511791013","https://openalex.org/W2515385951","https://openalex.org/W2531409750","https://openalex.org/W2553498075","https://openalex.org/W2562731582","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2586899202","https://openalex.org/W2592790041","https://openalex.org/W2598097916","https://openalex.org/W2598634450","https://openalex.org/W2605439166","https://openalex.org/W2612445135","https://openalex.org/W2620998106","https://openalex.org/W2739031953","https://openalex.org/W2750183885","https://openalex.org/W2752782242","https://openalex.org/W2755066373","https://openalex.org/W2768610172","https://openalex.org/W2769925982","https://openalex.org/W2778955544","https://openalex.org/W2798385569","https://openalex.org/W2798429327","https://openalex.org/W2798458055","https://openalex.org/W2798590501","https://openalex.org/W2798775284","https://openalex.org/W2798794112","https://openalex.org/W2798874329","https://openalex.org/W2883348239","https://openalex.org/W2883638665","https://openalex.org/W2884534488","https://openalex.org/W2888222975","https://openalex.org/W2891440844","https://openalex.org/W2896016251","https://openalex.org/W2896888563","https://openalex.org/W2949117887","https://openalex.org/W2953384591","https://openalex.org/W2962691289","https://openalex.org/W2962706983","https://openalex.org/W2962766801","https://openalex.org/W2962851801","https://openalex.org/W2962926870","https://openalex.org/W2963047834","https://openalex.org/W2963114950","https://openalex.org/W2963125010","https://openalex.org/W2963289251","https://openalex.org/W2963322158","https://openalex.org/W2963362748","https://openalex.org/W2963363373","https://openalex.org/W2963365374","https://openalex.org/W2963382930","https://openalex.org/W2963418739","https://openalex.org/W2963420686","https://openalex.org/W2963438548","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963557071","https://openalex.org/W2963690547","https://openalex.org/W2963805953","https://openalex.org/W2963910091","https://openalex.org/W2963910742","https://openalex.org/W2963993763","https://openalex.org/W2964081807","https://openalex.org/W2964130064","https://openalex.org/W2964133305","https://openalex.org/W2964163358","https://openalex.org/W2964186374","https://openalex.org/W2964220233","https://openalex.org/W2964233199","https://openalex.org/W2964289004","https://openalex.org/W2964304299","https://openalex.org/W2964350391","https://openalex.org/W3099206234","https://openalex.org/W3100555577","https://openalex.org/W3103722964","https://openalex.org/W3106411919","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W6638523607","https://openalex.org/W6674914833","https://openalex.org/W6677103964","https://openalex.org/W6683826617","https://openalex.org/W6684671274","https://openalex.org/W6693397755","https://openalex.org/W6713134421","https://openalex.org/W6752186649","https://openalex.org/W6756500865","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2406522397","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W4299822940","https://openalex.org/W2279398222","https://openalex.org/W2725397116","https://openalex.org/W2806866760","https://openalex.org/W2970216048","https://openalex.org/W2546942002"],"abstract_inverted_index":{"Abstract":[0],"Existing":[1],"person":[2,122],"re-identification":[3],"(re-id)":[4],"deep":[5,89],"learning":[6,63],"methods":[7,130],"rely":[8],"heavily":[9],"on":[10,131],"the":[11,33,46,113,117],"utilisation":[12],"of":[13,35,40,116,128],"large":[14,27,38,133],"and":[15,83,107,139],"computationally":[16],"expensive":[17],"convolutional":[18],"neural":[19],"networks.":[20],"They":[21],"are":[22],"therefore":[23],"not":[24],"scalable":[25,104],"to":[26,45,77],"scale":[28],"re-id":[29,64,97,123],"deployment":[30],"scenarios":[31],"with":[32,50,102],"need":[34],"processing":[36],"a":[37,70,125],"amount":[39],"surveillance":[41],"video":[42],"data,":[43],"due":[44],"lengthy":[47],"inference":[48,106],"process":[49],"high":[51],"computing":[52],"costs.":[53],"In":[54],"this":[55,59],"work,":[56],"we":[57,68],"address":[58],"limitation":[60],"via":[61],"jointly":[62,78],"attention":[65,73,82,86],"selection.":[66],"Specifically,":[67],"formulate":[69],"novel":[71],"harmonious":[72],"network":[74],"(HAN)":[75],"framework":[76],"learn":[79],"soft":[80],"pixel":[81],"hard":[84],"region":[85],"alongside":[87],"simultaneous":[88],"feature":[90,108],"representation":[91],"learning,":[92],"particularly":[93],"enabling":[94],"more":[95,103],"discriminative":[96],"matching":[98],"by":[99],"efficient":[100],"networks":[101],"model":[105],"matching.":[109],"Extensive":[110],"evaluations":[111],"validate":[112],"cost-effectiveness":[114],"superiority":[115],"proposed":[118],"HAN":[119],"approach":[120],"for":[121],"against":[124],"wide":[126],"variety":[127],"state-of-the-art":[129],"four":[132],"benchmark":[134],"datasets:":[135],"CUHK03,":[136],"Market-1501,":[137],"DukeMTMC,":[138],"MSMT17.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
