{"id":"https://openalex.org/W4322397514","doi":"https://doi.org/10.1145/3585010","title":"Visual Paraphrase Generation with Key Information Retained","display_name":"Visual Paraphrase Generation with Key Information Retained","publication_year":2023,"publication_date":"2023-02-27","ids":{"openalex":"https://openalex.org/W4322397514","doi":"https://doi.org/10.1145/3585010"},"language":"en","primary_location":{"id":"doi:10.1145/3585010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585010","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5049131355","display_name":"Jiayuan Xie","orcid":"https://orcid.org/0000-0002-6833-7879"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Xie","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China"],"raw_orcid":"https://orcid.org/0000-0002-6833-7879","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459749","display_name":"Jiali Chen","orcid":"https://orcid.org/0000-0001-8064-1577"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiali Chen","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China"],"raw_orcid":"https://orcid.org/0000-0001-8064-1577","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089123257","display_name":"Yi Cai","orcid":"https://orcid.org/0000-0002-1767-789X"},"institutions":[{"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"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Cai","raw_affiliation_strings":["School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China and Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1767-789X","affiliations":[{"raw_affiliation_string":"School of Software Engineering, South China University of Technology, Guangzhou, China and Key Laboratory of Big Data and Intelligent Robot (SCUT), MOE of China and Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061381102","display_name":"Qingbao Huang","orcid":"https://orcid.org/0000-0001-7691-347X"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbao Huang","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, Guangxi, China"],"raw_orcid":"https://orcid.org/0000-0001-7691-347X","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, Guangxi, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53988721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"19","issue":"6","first_page":"1","last_page":"19"},"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9891999959945679,"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/paraphrase","display_name":"Paraphrase","score":0.9696853160858154},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7467352151870728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7324933409690857},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6958378553390503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6844156384468079},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6841922998428345},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6160374879837036},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.4278738498687744},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.4181840419769287}],"concepts":[{"id":"https://openalex.org/C2780922921","wikidata":"https://www.wikidata.org/wiki/Q255189","display_name":"Paraphrase","level":2,"score":0.9696853160858154},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7467352151870728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324933409690857},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6958378553390503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6844156384468079},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6841922998428345},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6160374879837036},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.4278738498687744},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.4181840419769287},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3585010","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585010","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W342688629","https://openalex.org/W639708223","https://openalex.org/W2064675550","https://openalex.org/W2133459682","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2302086703","https://openalex.org/W2483327705","https://openalex.org/W2521114121","https://openalex.org/W2615497679","https://openalex.org/W2741609678","https://openalex.org/W2745461083","https://openalex.org/W2889326796","https://openalex.org/W2969663619","https://openalex.org/W3016658915","https://openalex.org/W3082073071","https://openalex.org/W3172424021","https://openalex.org/W4214824212","https://openalex.org/W4221166862","https://openalex.org/W4285232623","https://openalex.org/W4285246514","https://openalex.org/W4299527668","https://openalex.org/W4312692019"],"related_works":["https://openalex.org/W191017350","https://openalex.org/W3137243147","https://openalex.org/W4206666510","https://openalex.org/W2018298289","https://openalex.org/W2782520308","https://openalex.org/W3175194702","https://openalex.org/W2251069562","https://openalex.org/W2148689572","https://openalex.org/W3120390996","https://openalex.org/W4321512656"],"abstract_inverted_index":{"Visual":[0],"paraphrase":[1,18,56,102,191,213],"generation":[2,103,148,163],"task":[3],"aims":[4,130],"to":[5,20,44,70,74,131,175,187,192,196],"rewrite":[6],"a":[7,13,32,66,146,183],"given":[8],"image-related":[9],"original":[10,28,52,82,143,198,216],"sentence":[11,29,67],"into":[12],"new":[14,133],"paraphrase,":[15],"where":[16],"the":[17,22,27,46,50,71,81,110,122,138,155,158,189,197,201,205,208,212,215,221,227,231],"needs":[19],"have":[21,31],"same":[23],"expressed":[24],"meaning":[25],"as":[26],"but":[30],"difference":[33],"in":[34,80],"expression":[35],"form.":[36],"Existing":[37],"studies":[38],"mainly":[39],"extract":[40],"two":[41],"semantic":[42,60,184],"vectors":[43,61],"represent":[45],"entire":[47,51],"image":[48,64,168],"and":[49,115,142,214],"sentence,":[53,83],"respectively,":[54],"for":[55,62],"generation.":[57],"However,":[58],"these":[59],"an":[63,100,127],"or":[65],"may":[68,85],"lead":[69],"model":[72,229],"failing":[73],"focus":[75],"on":[76,137,154,166,220],"some":[77],"key":[78,92,113,125,139,173],"objects":[79,114,174],"which":[84,105],"generate":[86,176],"semantically":[87,194],"inconsistent":[88],"sentences":[89],"by":[90,108],"changing":[91],"object":[93,134,140,160],"information.":[94],"In":[95],"this":[96],"article,":[97],"we":[98,181],"propose":[99],"object-level":[101],"model,":[104],"generates":[106,151],"paraphrases":[107,152],"adjusting":[109],"permutation":[111,123,156],"of":[112,124,157,204],"modifying":[116],"their":[117],"associated":[118,170],"descriptions.":[119],"To":[120],"adjust":[121],"objects,":[126],"object-sorting":[128],"module":[129,149,186],"obtain":[132],"sequences":[135],"based":[136,153],"information":[141],"sentences.":[144],"Then,":[145],"sequence":[147],"sequentially":[150],"newly":[159],"sequences.":[161],"Each":[162],"step":[164],"focuses":[165],"different":[167,172],"features":[169],"with":[171,178],"descriptions":[177],"differences.":[179],"Furthermore,":[180],"use":[182],"discriminator":[185,206],"promote":[188],"generated":[190],"be":[193],"close":[195],"sentence.":[199,217],"Specifically,":[200],"loss":[202],"function":[203],"penalizes":[207],"excessive":[209],"distance":[210],"between":[211],"Extensive":[218],"experiments":[219],"MS":[222],"COCO":[223],"dataset":[224],"show":[225],"that":[226],"proposed":[228],"outperforms":[230],"baselines.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}