{"id":"https://openalex.org/W4306317671","doi":"https://doi.org/10.1145/3511808.3557265","title":"Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval","display_name":"Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317671","doi":"https://doi.org/10.1145/3511808.3557265"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557265","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","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/A5112873851","display_name":"Hongfa Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfa Wu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070202314","display_name":"Lisai Zhang","orcid":"https://orcid.org/0000-0002-2902-9515"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisai Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895423","display_name":"Qingcai Chen","orcid":"https://orcid.org/0000-0001-8473-7293"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingcai Chen","raw_affiliation_strings":["Peng Cheng Laboratory; Harbin Institute of Technology; & Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Shenzhen, China","Peng Cheng Laboratory","Harbin Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory; Harbin Institute of Technology; & Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057622363","display_name":"Yimeng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimeng Deng","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060382408","display_name":"Joanna Siebert","orcid":"https://orcid.org/0000-0001-6276-3642"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Joanna Siebert","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678661","display_name":"Yunpeng Han","orcid":"https://orcid.org/0000-0001-9103-8757"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunpeng Han","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398107","display_name":"Zhonghua Li","orcid":"https://orcid.org/0009-0008-0395-2820"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Li","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060298257","display_name":"Dejiang Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejiang Kong","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000839824","display_name":"Zhao Cao","orcid":"https://orcid.org/0000-0002-4214-7858"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Cao","raw_affiliation_strings":["Huawei Technologies Co., Ltd, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co., Ltd, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8257,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.81557464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2158","last_page":"2168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9961000084877014,"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":0.9890999794006348,"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":0.7837793827056885},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7389475107192993},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6014527678489685},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5745306611061096},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.5489892363548279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5087738633155823},{"id":"https://openalex.org/keywords/dynamic-perfect-hashing","display_name":"Dynamic perfect hashing","score":0.4767204821109772},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4674915373325348},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.46026498079299927},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.44902926683425903},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.44355452060699463},{"id":"https://openalex.org/keywords/universal-hashing","display_name":"Universal hashing","score":0.4354475736618042},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4172251224517822},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39229342341423035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3438878655433655},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.23848557472229004},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.19960325956344604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837793827056885},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7389475107192993},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6014527678489685},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5745306611061096},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.5489892363548279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087738633155823},{"id":"https://openalex.org/C122907437","wikidata":"https://www.wikidata.org/wiki/Q5318999","display_name":"Dynamic perfect hashing","level":5,"score":0.4767204821109772},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4674915373325348},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.46026498079299927},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.44902926683425903},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.44355452060699463},{"id":"https://openalex.org/C116058348","wikidata":"https://www.wikidata.org/wiki/Q846912","display_name":"Universal hashing","level":5,"score":0.4354475736618042},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4172251224517822},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39229342341423035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3438878655433655},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.23848557472229004},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.19960325956344604},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557265","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1922199343","https://openalex.org/W1939575207","https://openalex.org/W1951304353","https://openalex.org/W2007972815","https://openalex.org/W2138621090","https://openalex.org/W2155803963","https://openalex.org/W2203543769","https://openalex.org/W2266728343","https://openalex.org/W2388114291","https://openalex.org/W2464915613","https://openalex.org/W2550821151","https://openalex.org/W2591669147","https://openalex.org/W2604880013","https://openalex.org/W2747329762","https://openalex.org/W2798834175","https://openalex.org/W2894874917","https://openalex.org/W2895249671","https://openalex.org/W2897656415","https://openalex.org/W2909781645","https://openalex.org/W2945578092","https://openalex.org/W2963187862","https://openalex.org/W2971949219","https://openalex.org/W2998356391","https://openalex.org/W3003460937","https://openalex.org/W3012050760","https://openalex.org/W3091588028","https://openalex.org/W3118309101","https://openalex.org/W3166304536","https://openalex.org/W3173220247","https://openalex.org/W3177806915","https://openalex.org/W3216333240","https://openalex.org/W4242177601"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2783286101","https://openalex.org/W2964752363","https://openalex.org/W2384172680","https://openalex.org/W2088296667","https://openalex.org/W2592385986","https://openalex.org/W3034759158","https://openalex.org/W2259768202","https://openalex.org/W4310004262"],"abstract_inverted_index":{"Cross-modal":[0],"hashing":[1,28,49,92,166,177],"(CMH)":[2],"has":[3,29],"been":[4],"widely":[5],"used":[6,53],"in":[7,73],"multimedia":[8],"retrieval":[9],"applications":[10],"for":[11,46,62,145,174],"its":[12],"low":[13],"storage":[14],"cost":[15],"and":[16,57,129,140],"fast":[17],"indexing":[18],"speed.":[19],"Thanks":[20],"to":[21,69,88,115,137],"the":[22,38,51,67,90,94,106,117,125,153,160,175],"success":[23],"of":[24,124,155],"deep":[25,35],"learning,":[26],"cross-modal":[27,48,75,91,165,176],"made":[30],"significant":[31],"progress":[32],"with":[33],"high-quality":[34],"features.":[36],"However,":[37],"modal":[39,64],"gap":[40],"is":[41,112],"still":[42],"a":[43,74,83,131,170],"crucial":[44],"bottleneck":[45],"existing":[47],"methods:":[50],"commonly":[52],"convolutional":[54],"neural":[55],"network":[56],"bag-of-words":[58],"encoders":[59],"are":[60,180],"customized":[61],"single":[63],"prior,":[65],"limiting":[66],"models":[68],"learn":[70],"semantics":[71],"representation":[72,118],"space.":[76,97],"To":[77],"overcome":[78],"modality":[79,110],"heterogeneity,":[80],"we":[81,121],"propose":[82,130],"shared":[84],"transformer":[85],"encoder":[86],"(UniHash)":[87],"unify":[89],"into":[93],"same":[95],"semantic":[96],"A":[98],"contrastive":[99],"label":[100,127,133],"correlation":[101],"learning":[102],"(CLC)":[103],"loss":[104],"using":[105],"category":[107],"labels":[108,144],"as":[109],"bridge":[111],"designed":[113],"together":[114],"improve":[116],"quality.":[119],"Moreover,":[120],"take":[122],"advantage":[123,154],"multi-hot":[126],"space":[128],"negative":[132,143],"generation":[134],"(NegLG)":[135],"strategy":[136],"get":[138],"richer":[139],"uniformly":[141],"distributed":[142],"contrast.":[146],"Extensive":[147],"experiments":[148],"on":[149],"three":[150],"benchmarks":[151],"verify":[152],"our":[156],"proposed":[157,161],"method.":[158],"Besides,":[159],"UniHash":[162],"outperforms":[163],"state-of-the-art":[164],"methods":[167],"significantly,":[168],"establishing":[169],"new":[171],"important":[172],"baseline":[173],"research.":[178],"Codes":[179],"released":[181],"github.com/idealwhite/Unihash.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}