{"id":"https://openalex.org/W3209420799","doi":"https://doi.org/10.1145/3459637.3482149","title":"Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images","display_name":"Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3209420799","doi":"https://doi.org/10.1145/3459637.3482149","mag":"3209420799"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100412846","display_name":"Lin Li","orcid":"https://orcid.org/0000-0002-2034-982X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107597318","display_name":"Ming Li","orcid":"https://orcid.org/0009-0001-4618-7988"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059912501","display_name":"Zichen Zan","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichen Zan","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013657140","display_name":"Qing Xie","orcid":"https://orcid.org/0000-0003-4530-588X"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xie","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079797505","display_name":"Jianquan Liu","orcid":"https://orcid.org/0000-0003-4303-9020"},"institutions":[{"id":"https://openalex.org/I118347220","display_name":"NEC (Japan)","ror":"https://ror.org/04jndar25","country_code":"JP","type":"company","lineage":["https://openalex.org/I118347220"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianquan Liu","raw_affiliation_strings":["NEC Corporation, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NEC Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I118347220"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3211","last_page":"3215"},"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":0.9983999729156494,"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":0.9983999729156494,"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":0.9955000281333923,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.989799976348877,"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/linear-subspace","display_name":"Linear subspace","score":0.8315014839172363},{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.8133666515350342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.719660758972168},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7091723680496216},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.7013790011405945},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5653282403945923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.529850959777832},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.46426960825920105},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3716578483581543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36342889070510864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19565078616142273}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.8315014839172363},{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.8133666515350342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.719660758972168},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7091723680496216},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.7013790011405945},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5653282403945923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.529850959777832},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.46426960825920105},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3716578483581543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36342889070510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19565078616142273},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3459637.3482149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2199534117","https://openalex.org/W2209920088","https://openalex.org/W2466671568","https://openalex.org/W2565041183","https://openalex.org/W2583892095","https://openalex.org/W2594259972","https://openalex.org/W2737041163","https://openalex.org/W2742657630","https://openalex.org/W2742792558","https://openalex.org/W2767221212","https://openalex.org/W2809034148","https://openalex.org/W2897152025","https://openalex.org/W2897660518","https://openalex.org/W2948037078","https://openalex.org/W2948947170","https://openalex.org/W2963055199","https://openalex.org/W2963437433","https://openalex.org/W2963997278","https://openalex.org/W2972610293","https://openalex.org/W3033103428","https://openalex.org/W3034303366","https://openalex.org/W3035032757","https://openalex.org/W3092995403","https://openalex.org/W3104826001","https://openalex.org/W4249033934","https://openalex.org/W4297826496"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394"],"abstract_inverted_index":{"Cross-modal":[0],"retrieval":[1,54,81],"technology":[2],"can":[3],"help":[4,129],"people":[5],"quickly":[6],"achieve":[7],"mutual":[8],"information":[9,91],"between":[10,64,114],"cooking":[11,93],"recipes":[12,68,84,94],"and":[13,22,69,85,95,117,123,151],"food":[14,45,96,118],"images.":[15,70,86],"Both":[16],"the":[17,20,23,36,44,52,61,102,106,111],"embeddings":[18,116],"of":[19,26,60,67,83,149],"image":[21,119],"recipe":[24,37,115],"consist":[25],"multiple":[27,33,41,65],"representation":[28],"subspaces.":[29],"We":[30],"argue":[31],"that":[32,139],"aspects":[34],"in":[35,43,147],"are":[38,126],"related":[39],"to":[40,50,128,144],"regions":[42],"image.":[46],"It":[47],"is":[48],"challenging":[49],"improve":[51],"cross-modal":[53,80,133],"quality":[55],"by":[56],"making":[57],"full":[58],"use":[59],"implicit":[62,78,103],"connection":[63],"subspaces":[66],"In":[71],"this":[72],"paper,":[73],"we":[74],"propose":[75],"a":[76],"multi-subspace":[77,90],"alignment":[79,104],"framework":[82,88,131,141],"Our":[87],"learns":[89],"about":[92],"images":[97],"with":[98],"multi-head":[99],"attention":[100],"networks;":[101],"at":[105],"subspace":[107],"level":[108],"promotes":[109],"narrowing":[110],"semantic":[112],"gap":[113],"embeddings;":[120],"triple":[121],"loss":[122,125],"adversarial":[124],"combined":[127],"our":[130,140],"for":[132],"learning.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"significantly":[142],"outperforms":[143],"state-of-the-art":[145],"methods":[146],"terms":[148],"MedR":[150],"[email":[152],"protected]":[153],"on":[154],"Recipe":[155],"1M.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
