{"id":"https://openalex.org/W2970127106","doi":"https://doi.org/10.1109/icip.2019.8803561","title":"Multimodal Latent Factor Model with Language Constraint for Predicate Detection","display_name":"Multimodal Latent Factor Model with Language Constraint for Predicate Detection","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970127106","doi":"https://doi.org/10.1109/icip.2019.8803561","mag":"2970127106"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5103069813","display_name":"Xuan Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuan Ma","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Kun Bao","raw_affiliation_strings":["College of Telecommunications & Information engineering, Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information engineering, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113934713","display_name":"Lingling Yao","orcid":"https://orcid.org/0009-0001-2839-6882"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Yao","raw_affiliation_strings":["Tencent, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022636178","display_name":"Changsheng Xu","orcid":"https://orcid.org/0000-0001-8343-9665"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Xu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103069813"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08296462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"4454","last_page":"4458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":1.0,"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":0.9976000189781189,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7583856582641602},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.7468413710594177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6076101660728455},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5396679639816284},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5272086262702942},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.49363791942596436},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4628208577632904},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.43160220980644226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32337406277656555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14811855554580688},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09076184034347534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7583856582641602},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.7468413710594177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6076101660728455},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5396679639816284},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5272086262702942},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.49363791942596436},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4628208577632904},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.43160220980644226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32337406277656555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14811855554580688},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09076184034347534},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W205829674","https://openalex.org/W639708223","https://openalex.org/W1614298861","https://openalex.org/W1905533542","https://openalex.org/W2049705550","https://openalex.org/W2097915776","https://openalex.org/W2101802482","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2339712187","https://openalex.org/W2407521645","https://openalex.org/W2462996230","https://openalex.org/W2479423890","https://openalex.org/W2513221924","https://openalex.org/W2558535589","https://openalex.org/W2575842049","https://openalex.org/W2591644541","https://openalex.org/W2605736949","https://openalex.org/W2607855566","https://openalex.org/W2613718673","https://openalex.org/W2765304506","https://openalex.org/W2777602943","https://openalex.org/W2883170015","https://openalex.org/W2950577311","https://openalex.org/W2950800384","https://openalex.org/W2951584201","https://openalex.org/W2952020101","https://openalex.org/W2962737704","https://openalex.org/W2963980128","https://openalex.org/W6608344535","https://openalex.org/W6620707391","https://openalex.org/W6636510571","https://openalex.org/W6674856645","https://openalex.org/W6675255137","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6714138976","https://openalex.org/W6726278967"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W3025682415","https://openalex.org/W2081173909","https://openalex.org/W4389009659","https://openalex.org/W4312933423","https://openalex.org/W2604316291"],"abstract_inverted_index":{"Nowadays,":[0],"visual":[1,30,66,101],"relationship":[2,31],"detection":[3,48],"has":[4],"shown":[5],"an":[6,23,26,108],"important":[7,27],"utility":[8],"in":[9,22,107],"scene":[10],"understanding.":[11],"Predicate":[12],"detection,":[13],"which":[14],"aims":[15],"to":[16,83],"detect":[17],"the":[18,50,74,85],"predicate":[19,47,112,131],"between":[20],"entities":[21],"image,":[24],"is":[25,81,94],"part":[28],"of":[29,52,65],"detection.":[32,113,132],"In":[33],"this":[34],"paper,":[35],"we":[36],"propose":[37],"Multimodal":[38],"Latent":[39],"Factor":[40],"Model":[41],"with":[42,49],"Language":[43],"Constraint":[44],"(MMLFM-LC)":[45],"for":[46,111],"novelty":[51],"integrating":[53],"knowledge":[54],"learned":[55],"from":[56],"multiple":[57],"modalities,":[58],"valid":[59,88],"relationships":[60,86],"and":[61,67,102,119],"semantical":[62,98],"similarities.":[63,99],"Representations":[64],"textual":[68,103],"modalities":[69],"are":[70,105],"firstly":[71],"input":[72],"into":[73],"constructed":[75],"model.":[76],"Secondly,":[77],"a":[78,91],"bilinear":[79],"structure":[80],"introduced":[82],"model":[84],"using":[87],"relationships,":[89],"while":[90],"language":[92],"constraint":[93],"also":[95],"built":[96],"utilizing":[97],"Lastly,":[100],"representations":[104],"fused":[106],"embedded":[109],"subspace":[110],"Experiments":[114],"on":[115,130],"both":[116],"Visual":[117,120],"Relationship":[118],"Genome":[121],"datasets":[122],"show":[123],"that":[124],"our":[125],"method":[126],"outperforms":[127],"other":[128],"methods":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
