{"id":"https://openalex.org/W2981384185","doi":"https://doi.org/10.1145/3343031.3350991","title":"Deep Adversarial Graph Attention Convolution Network for Text-Based Person Search","display_name":"Deep Adversarial Graph Attention Convolution Network for Text-Based Person Search","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981384185","doi":"https://doi.org/10.1145/3343031.3350991","mag":"2981384185"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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/A5101827938","display_name":"Jiawei Liu","orcid":"https://orcid.org/0000-0002-4930-9637"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawei Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101827938"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.6977,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.96004113,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.806944727897644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573833227157593},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5671234726905823},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5366788506507874},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49196192622184753},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.457850843667984},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4568420946598053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40474385023117065},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40148064494132996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35564595460891724},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34323614835739136},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2262411117553711}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.806944727897644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573833227157593},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5671234726905823},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5366788506507874},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49196192622184753},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.457850843667984},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4568420946598053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40474385023117065},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40148064494132996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35564595460891724},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34323614835739136},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2262411117553711},{"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:10.1145/3343031.3350991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1895577753","https://openalex.org/W1905882502","https://openalex.org/W1916445035","https://openalex.org/W1949478088","https://openalex.org/W1996371682","https://openalex.org/W2028285070","https://openalex.org/W2077069816","https://openalex.org/W2099471712","https://openalex.org/W2185175083","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2342611082","https://openalex.org/W2398118205","https://openalex.org/W2463071499","https://openalex.org/W2506483933","https://openalex.org/W2526833393","https://openalex.org/W2552579943","https://openalex.org/W2579549467","https://openalex.org/W2620341577","https://openalex.org/W2778100917","https://openalex.org/W2778652957","https://openalex.org/W2798329462","https://openalex.org/W2798385569","https://openalex.org/W2798775284","https://openalex.org/W2801814609","https://openalex.org/W2883638665","https://openalex.org/W2885709146","https://openalex.org/W2889578543","https://openalex.org/W2894786240","https://openalex.org/W2903878868","https://openalex.org/W2912152775","https://openalex.org/W2912622340","https://openalex.org/W2951538594","https://openalex.org/W2953106684","https://openalex.org/W2957037461","https://openalex.org/W2962691289","https://openalex.org/W2962964995","https://openalex.org/W2963184176","https://openalex.org/W2963322158","https://openalex.org/W2963389687","https://openalex.org/W2963449390","https://openalex.org/W2963536419","https://openalex.org/W2963736028","https://openalex.org/W2963843782","https://openalex.org/W2963882743","https://openalex.org/W2963960612","https://openalex.org/W2964094751","https://openalex.org/W2964289004","https://openalex.org/W3102718214","https://openalex.org/W4236555596"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W3208297503","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W2619127353","https://openalex.org/W4285218279"],"abstract_inverted_index":{"The":[0,68,139],"newly":[1],"emerging":[2],"text-based":[3,65],"person":[4,45,48,66],"search":[5],"task":[6],"aims":[7],"at":[8],"retrieving":[9],"the":[10,32,84,120,161,212,215],"target":[11],"pedestrian":[12,117],"by":[13],"a":[14,23,38,55,129,149,181,185,190],"query":[15,36],"in":[16,29,108,160],"natural":[17],"language":[18],"with":[19,148,180],"fine-grained":[20],"description":[21],"of":[22,34,37,78,90,123,163,214],"pedestrian.":[24],"It":[25,99],"is":[26,178],"more":[27],"applicable":[28],"reality":[30],"without":[31],"requirement":[33],"image/video":[35,43],"pedestrian,":[39],"as":[40],"compared":[41],"to":[42,169,188],"based":[44],"search,":[46],"i.e.,":[47,205],"re-identification.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"propose":[54],"novel":[56,150],"deep":[57],"adversarial":[58,109,136,175],"graph":[59,126,131,143,151,158],"attention":[60,127,132,144,152],"convolution":[61,153],"network":[62,133],"(A-GANet)":[63],"for":[64,195],"search.":[67],"A-GANet":[69,121],"exploits":[70,157],"both":[71],"textual":[72,95,164],"and":[73,81,87,96,115,134,141,165,171,184,207],"visual":[74,97,166],"scene":[75],"graphs,":[76],"consisting":[77],"object":[79],"properties":[80],"relationships,":[82],"from":[83],"text":[85,130,142],"queries":[86],"gallery":[88],"images":[89],"pedestrians,":[91],"towards":[92],"learning":[93,110,137,162,176],"informative":[94],"representations.":[98,173],"learns":[100],"an":[101,124,135],"effective":[102],"joint":[103,191],"textual-visual":[104,192],"latent":[105],"feature":[106,182,193],"space":[107,194],"manner,":[111],"bridging":[112],"modality":[113,186],"gap":[114],"facilitating":[116],"matching.":[118,197],"Specifically,":[119],"consists":[122],"image":[125,140],"network,":[128],"module.":[138],"networks":[145],"are":[146],"designed":[147],"layer,":[154],"which":[155],"effectively":[156],"structure":[159],"features,":[167],"leading":[168],"precise":[170],"discriminative":[172],"An":[174],"module":[177],"developed":[179],"transformer":[183],"discriminator,":[187],"learn":[189],"cross-modality":[196],"Extensive":[198],"experimental":[199],"results":[200],"on":[201],"two":[202],"challenging":[203],"benchmarks,":[204],"CUHK-PEDES":[206],"Flickr30k":[208],"datasets,":[209],"have":[210],"demonstrated":[211],"effectiveness":[213],"proposed":[216],"method.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
