{"id":"https://openalex.org/W3093025987","doi":"https://doi.org/10.1145/3394171.3413864","title":"Hierarchical Gumbel Attention Network for Text-based Person Search","display_name":"Hierarchical Gumbel Attention Network for Text-based Person Search","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093025987","doi":"https://doi.org/10.1145/3394171.3413864","mag":"3093025987"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th 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/A5087247298","display_name":"Kecheng Zheng","orcid":"https://orcid.org/0000-0002-3450-400X"},"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":"Kecheng Zheng","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/A5068917997","display_name":"Wu Liu","orcid":"https://orcid.org/0000-0003-1633-7575"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Liu","raw_affiliation_strings":["AI Research of JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Research of JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","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":false,"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":"last","author":{"id":"https://openalex.org/A5101517779","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0002-5990-7307"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["AI Research of JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"AI Research of JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087247298"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":5.569,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.96908083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3441","last_page":"3449"},"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":0.9990000128746033,"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":0.9951000213623047,"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":0.7210750579833984},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6637553572654724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6062098145484924},{"id":"https://openalex.org/keywords/gumbel-distribution","display_name":"Gumbel distribution","score":0.5168957710266113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5040863752365112},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.42255282402038574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16037720441818237}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210750579833984},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6637553572654724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6062098145484924},{"id":"https://openalex.org/C137610916","wikidata":"https://www.wikidata.org/wiki/Q1096862","display_name":"Gumbel distribution","level":3,"score":0.5168957710266113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5040863752365112},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.42255282402038574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16037720441818237},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1861492603","https://openalex.org/W1895577753","https://openalex.org/W1949478088","https://openalex.org/W1957706851","https://openalex.org/W2044913453","https://openalex.org/W2049892260","https://openalex.org/W2119717200","https://openalex.org/W2153579005","https://openalex.org/W2194775991","https://openalex.org/W2398118205","https://openalex.org/W2526833393","https://openalex.org/W2547875792","https://openalex.org/W2579549467","https://openalex.org/W2778100917","https://openalex.org/W2801814609","https://openalex.org/W2885709146","https://openalex.org/W2894786240","https://openalex.org/W2912152775","https://openalex.org/W2912622340","https://openalex.org/W2916803445","https://openalex.org/W2922762167","https://openalex.org/W2931208564","https://openalex.org/W2953320089","https://openalex.org/W2962964995","https://openalex.org/W2963247666","https://openalex.org/W2963322158","https://openalex.org/W2963403868","https://openalex.org/W2963449390","https://openalex.org/W2963842104","https://openalex.org/W2963882743","https://openalex.org/W2981384185","https://openalex.org/W2981538481","https://openalex.org/W2985951359","https://openalex.org/W2990317318","https://openalex.org/W3005530336","https://openalex.org/W3100093508","https://openalex.org/W4236555596","https://openalex.org/W4301409532"],"related_works":["https://openalex.org/W2115040659","https://openalex.org/W2392757156","https://openalex.org/W3121924949","https://openalex.org/W2951988075","https://openalex.org/W2270643620","https://openalex.org/W1570428685","https://openalex.org/W2083778309","https://openalex.org/W1498453022","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Text-based":[0],"person":[1,69],"search":[2,70],"aims":[3],"to":[4,25,104,131],"retrieve":[5],"the":[6,22,27,31,36,46,80,106,112,133,153,171,175,181,190,203],"pedestrian":[7],"images":[8,89],"that":[9],"best":[10,177],"match":[11],"a":[12,61,118,126,145],"given":[13],"textual":[14],"description":[15],"from":[16,88,155],"gallery":[17],"images.":[18],"Previous":[19],"methods":[20,43],"utilize":[21],"soft-attention":[23],"mechanism":[24,139],"infer":[26],"semantic":[28],"alignments":[29],"between":[30],"regions":[32,85],"of":[33,114,136],"image":[34,84],"and":[35,86,90,95,162,184,194,197],"corresponding":[37],"words":[38],"in":[39,189,202],"sentence.":[40],"However,":[41],"these":[42],"may":[44],"fuse":[45,105],"irrelevant":[47],"multi-modality":[48,108],"features":[49,109],"together":[50],"which":[51],"cause":[52],"matching":[53,115,148],"redundancy":[54],"problem.":[55],"In":[56],"this":[57],"work,":[58],"we":[59,179],"propose":[60],"novel":[62],"hierarchical":[63,146],"Gumbel":[64,72,119],"attention":[65,138],"network":[66],"for":[67,92,110],"text-based":[68],"via":[71],"top-k":[73,120],"re-parameterization":[74,121],"algorithm.":[75],"Specifically,":[76],"it":[77],"adaptively":[78],"selects":[79],"strong":[81],"semantically":[82],"relevant":[83],"words/phrases":[87],"texts":[91],"precise":[93],"alignment":[94],"similarity":[96],"calculation.":[97],"This":[98],"hard":[99,137],"selection":[100],"strategy":[101,149],"is":[102,123,150],"able":[103],"strong-relevant":[107],"alleviating":[111],"problem":[113,135],"redundancy.":[116],"Meanwhile,":[117],"algorithm":[122],"designed":[124],"as":[125],"low-variance,":[127],"unbiased":[128],"gradient":[129],"estimator":[130],"handle":[132],"discreteness":[134],"by":[140,152],"an":[141],"end-to-end":[142],"manner.":[143],"Moreover,":[144],"adaptive":[147],"employed":[151],"model":[154],"three":[156],"different":[157],"granularities,":[158],"i.e.,":[159],"word-level,":[160],"phrase-level,":[161],"sentence-level,":[163],"towards":[164],"fine-grained":[165],"matching.":[166],"Extensive":[167],"experimental":[168],"results":[169],"demonstrate":[170],"state-of-the-art":[172],"performance.":[173],"Compared":[174],"existed":[176],"method,":[178],"achieve":[180],"8.24%":[182],"Rank-1":[183,196],"7.6%":[185],"mAP":[186,199],"relative":[187,200],"improvements":[188,201],"text-to-image":[191],"retrieval":[192,205],"task,":[193],"5.58%":[195],"6.3%":[198],"image-to-text":[204],"task":[206],"on":[207],"CUHK-PEDES":[208],"dataset,":[209],"respectively.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
