{"id":"https://openalex.org/W4402980413","doi":"https://doi.org/10.1109/icme57554.2024.10687657","title":"Multimodal Image-Text Representation Learning for Sketch-Less Facial Image Retrieval","display_name":"Multimodal Image-Text Representation Learning for Sketch-Less Facial Image Retrieval","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980413","doi":"https://doi.org/10.1109/icme57554.2024.10687657"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5082093215","display_name":"Dawei Dai","orcid":"https://orcid.org/0000-0002-8431-4431"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dawei Dai","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037908770","display_name":"Yingge Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingge Liu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107093199","display_name":"Shiyu Fu","orcid":"https://orcid.org/0009-0002-0803-2085"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Fu","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031220156","display_name":"Guoyin Wang","orcid":"https://orcid.org/0000-0002-8521-5232"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyin Wang","raw_affiliation_strings":["Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065"],"affiliations":[{"raw_affiliation_string":"Chongqing University of Posts and Telecommunications,Chongqing Key Laboratory of Computational Intelligence, Key Laboratory of Big Data Intelligent Computing Key Laboratory of Cyberspace Big Data Intelligent Security, Ministry of Education,Chongqing,China,400065","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082093215"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":0.7873,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73512672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9570000171661377,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9570000171661377,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9433000087738037,"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":0.9204000234603882,"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/sketch","display_name":"Sketch","score":0.7786493301391602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.727487325668335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650305986404419},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6499980688095093},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5550209879875183},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45222973823547363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43329566717147827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3680458664894104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3560193181037903},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3437654376029968}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7786493301391602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.727487325668335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650305986404419},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6499980688095093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5550209879875183},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45222973823547363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43329566717147827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3680458664894104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3560193181037903},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3437654376029968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2765627079","https://openalex.org/W2776402438","https://openalex.org/W2938500406","https://openalex.org/W2962770929","https://openalex.org/W3034603197","https://openalex.org/W3110396110","https://openalex.org/W3129072783","https://openalex.org/W3174194560","https://openalex.org/W3204588463","https://openalex.org/W4214622647","https://openalex.org/W4285414583","https://openalex.org/W4312730263","https://openalex.org/W4313025669","https://openalex.org/W4313130906","https://openalex.org/W4372262428","https://openalex.org/W4386076063","https://openalex.org/W4386158724","https://openalex.org/W4386160492","https://openalex.org/W4386172516","https://openalex.org/W6791353385","https://openalex.org/W6798805250","https://openalex.org/W6810738896","https://openalex.org/W6811013733","https://openalex.org/W6839807890","https://openalex.org/W6856800273"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W3149739944","https://openalex.org/W2392363776","https://openalex.org/W2063051341","https://openalex.org/W2591066345","https://openalex.org/W1494563618","https://openalex.org/W2185495922"],"abstract_inverted_index":{"Sketch-less":[0],"facial":[1,15,83,96],"image":[2,97],"retrieval":[3,26,49,73,132],"(SLFIR)":[4],"framework":[5],"aims":[6],"to":[7,69,90,117],"break":[8],"the":[9,25,58,62,71,79,92,105,119,123],"barriers":[10],"that":[11],"drawing":[12],"a":[13,28,82,141],"high-quality":[14],"sketch":[16,30,110],"requires":[17],"excellent":[18],"skills":[19],"and":[20,98,111,115,139],"substantial":[21],"time,":[22],"it":[23],"performs":[24],"using":[27,102],"partial":[29],"with":[31,64],"as":[32,35,104],"few":[33],"strokes":[34],"possible.":[36],"However,":[37],"such":[38],"early-stage":[39],"sketches":[40,63],"often":[41],"contain":[42],"only":[43],"local":[44],"details,":[45],"resulting":[46],"in":[47,145],"poor":[48],"performance.":[50,74],"In":[51],"this":[52],"study,":[53],"we":[54],"propose":[55],"learning":[56],"of":[57,95,109],"representation":[59,121],"by":[60],"fusing":[61],"prior":[65],"human":[66],"semantic":[67],"knowledge":[68],"improve":[70],"early":[72,131],"Specifically,":[75],"(1)":[76],"based":[77],"on":[78,134],"LAION-Face":[80],"dataset,":[81],"language-image":[84],"pretraining":[85],"(FLIP)":[86],"model":[87],"is":[88],"constructed":[89],"learn":[91,118],"aligned":[93],"representations":[94],"text;":[99],"(2)":[100],"subsequently,":[101],"FLIP":[103],"backbone,":[106],"multiscale":[107],"features":[108],"text":[112],"are":[113],"extracted":[114],"fused":[116],"efficient":[120],"for":[122],"final":[124],"retrieval.":[125],"The":[126],"proposed":[127],"method":[128],"achieves":[129],"state-of-the-art":[130],"performance":[133],"all":[135],"two":[136],"public":[137],"datasets":[138],"exhibits":[140],"good":[142],"generalization":[143],"ability":[144],"practical":[146],"testing.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
