{"id":"https://openalex.org/W4387969364","doi":"https://doi.org/10.1145/3581783.3611916","title":"A Baseline Investigation: Transformer-based Cross-view Baseline for Text-based Person Search","display_name":"A Baseline Investigation: Transformer-based Cross-view Baseline for Text-based Person Search","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969364","doi":"https://doi.org/10.1145/3581783.3611916"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3611916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5047237045","display_name":"Xianghao Zang","orcid":"https://orcid.org/0000-0001-8421-7167"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghao Zang","raw_affiliation_strings":["China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8421-7167","affiliations":[{"raw_affiliation_string":"China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-5495","affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076676389","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-4079-3968"},"institutions":[{"id":"https://openalex.org/I4210128628","display_name":"Peking University Shenzhen Hospital","ror":"https://ror.org/03kkjyb15","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210128628"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4079-3968","affiliations":[{"raw_affiliation_string":"Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I4210128628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020428892","display_name":"Han Fang","orcid":"https://orcid.org/0000-0002-4379-2971"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Fang","raw_affiliation_strings":["China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4379-2971","affiliations":[{"raw_affiliation_string":"China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093130774","display_name":"Chao Ban","orcid":"https://orcid.org/0009-0000-8114-103X"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Ban","raw_affiliation_strings":["China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-8114-103X","affiliations":[{"raw_affiliation_string":"China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722779","display_name":"Zhongjiang He","orcid":"https://orcid.org/0009-0000-1835-9271"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongjiang He","raw_affiliation_strings":["China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-1835-9271","affiliations":[{"raw_affiliation_string":"China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063142903","display_name":"Hao Sun","orcid":"https://orcid.org/0009-0007-7917-1628"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-7917-1628","affiliations":[{"raw_affiliation_string":"China Telecom Corporation Ltd. Data&AI Technology Company, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4412,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94292562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"7737","last_page":"7746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987999796867371,"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":0.9980000257492065,"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/baseline","display_name":"Baseline (sea)","score":0.8118973970413208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744053602218628},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7442622780799866},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7167118787765503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4778137505054474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4203318953514099},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38947010040283203},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08812820911407471},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07311379909515381}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8118973970413208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744053602218628},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7442622780799866},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7167118787765503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4778137505054474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4203318953514099},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38947010040283203},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08812820911407471},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07311379909515381},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3611916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3611916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2109586012","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2596164567","https://openalex.org/W2883311563","https://openalex.org/W2885709146","https://openalex.org/W2886641317","https://openalex.org/W2894786240","https://openalex.org/W2962964995","https://openalex.org/W2963047834","https://openalex.org/W2963449390","https://openalex.org/W2981384185","https://openalex.org/W2985951359","https://openalex.org/W2997421053","https://openalex.org/W3005530336","https://openalex.org/W3015686580","https://openalex.org/W3090449556","https://openalex.org/W3093025987","https://openalex.org/W3093206719","https://openalex.org/W3095440956","https://openalex.org/W3147954272","https://openalex.org/W3157986864","https://openalex.org/W3204887981","https://openalex.org/W3206868111","https://openalex.org/W3208037308","https://openalex.org/W3217561483","https://openalex.org/W4200633094","https://openalex.org/W4214770152","https://openalex.org/W4221155406","https://openalex.org/W4283818632","https://openalex.org/W4297821751","https://openalex.org/W4297833440","https://openalex.org/W4304087170","https://openalex.org/W4304098245","https://openalex.org/W6600424091"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4206178588","https://openalex.org/W3094491777","https://openalex.org/W3214715529","https://openalex.org/W4287635093"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,12,53,58,104,134,145],"baseline":[4],"approach":[5],"for":[6,27],"text-based":[7],"person":[8],"search":[9],"by":[10,70],"using":[11],"transformer-based":[13,135],"framework.":[14],"Existing":[15],"methods":[16],"usually":[17],"treat":[18],"the":[19,30,35,38,62,66,95,110,131,141],"visual":[20],"and":[21,113,124],"textual":[22],"features":[23],"as":[24,61],"independent":[25],"entities":[26],"speeding":[28],"up":[29],"model":[31,96],"inference":[32,111],"process.":[33],"However,":[34],"attention":[36],"to":[37,45,87,97,108],"same":[39],"images":[40],"should":[41],"be":[42],"changed":[43],"according":[44],"different":[46],"texts.":[47],"In":[48],"this":[49,79],"paper,":[50],"we":[51,82,102],"use":[52],"commonly":[54],"employed":[55],"framework":[56,136],"with":[57,154],"fused":[59],"feature":[60],"baseline,":[63],"which":[64],"overcomes":[65],"misalignment":[67],"problem":[68],"introduced":[69],"fixed":[71],"features.":[72],"A":[73],"thorough":[74],"investigation":[75],"is":[76,144],"conducted":[77,120],"in":[78],"paper.":[80],"Moreover,":[81],"propose":[83],"Cross-View":[84],"Matching":[85],"(CVM)":[86],"provide":[88],"challenging,":[89],"positive":[90],"text-image":[91],"pairs":[92],"that":[93],"enable":[94],"learn":[98],"cross-view":[99],"meta-information.":[100],"Furthermore,":[101],"suggest":[103],"novel":[105],"evaluation":[106],"process":[107],"reduce":[109],"time":[112],"GPU":[114],"memory":[115],"demand.":[116],"The":[117],"experiments":[118],"are":[119,137],"on":[121],"CUHK-PEDES,":[122],"ICFG-PEDES,":[123],"RSTPReid":[125],"benchmarks.":[126],"Through":[127],"extensive":[128],"parameter":[129],"analysis,":[130],"potentials":[132],"of":[133],"fully":[138],"explored.":[139],"Although":[140],"proposed":[142],"scheme":[143],"simple":[146],"framework,":[147],"it":[148],"achieves":[149],"significant":[150],"performance":[151],"improvements":[152],"compared":[153],"other":[155],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12}],"updated_date":"2026-06-28T08:01:55.173337","created_date":"2025-10-10T00:00:00"}