{"id":"https://openalex.org/W4402904106","doi":"https://doi.org/10.1109/cvprw63382.2024.00212","title":"AIGeN: An Adversarial Approach for Instruction Generation in VLN","display_name":"AIGeN: An Adversarial Approach for Instruction Generation in VLN","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4402904106","doi":"https://doi.org/10.1109/cvprw63382.2024.00212"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw63382.2024.00212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","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/A5086004172","display_name":"Niyati Rawal","orcid":"https://orcid.org/0000-0002-4142-0488"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Niyati Rawal","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087693209","display_name":"Roberto Bigazzi","orcid":"https://orcid.org/0000-0002-6457-1860"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Roberto Bigazzi","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048928616","display_name":"Lorenzo Baraldi","orcid":"https://orcid.org/0000-0001-5125-4957"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Baraldi","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030948871","display_name":"Rita Cucchiara","orcid":"https://orcid.org/0000-0002-2239-283X"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rita Cucchiara","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086004172"],"corresponding_institution_ids":["https://openalex.org/I122346577"],"apc_list":null,"apc_paid":null,"fwci":1.0606,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81379013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2070","last_page":"2080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7078999876976013,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7078999876976013,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.6924999952316284,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.6863999962806702,"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/adversarial-system","display_name":"Adversarial system","score":0.9076759219169617},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837301254272461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24795150756835938}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9076759219169617},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837301254272461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24795150756835938}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw63382.2024.00212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw63382.2024.00212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1336266","is_oa":false,"landing_page_url":"https://hdl.handle.net/11380/1336266","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1956340063","https://openalex.org/W2101105183","https://openalex.org/W2194775991","https://openalex.org/W2506483933","https://openalex.org/W2604178507","https://openalex.org/W2926977875","https://openalex.org/W2962744691","https://openalex.org/W2962968835","https://openalex.org/W2963800628","https://openalex.org/W2964339842","https://openalex.org/W2964935470","https://openalex.org/W2970231061","https://openalex.org/W2979727876","https://openalex.org/W2987914945","https://openalex.org/W3034500398","https://openalex.org/W3034578524","https://openalex.org/W3034999214","https://openalex.org/W3047153790","https://openalex.org/W3099019594","https://openalex.org/W3109097593","https://openalex.org/W3155707959","https://openalex.org/W3172675210","https://openalex.org/W3174887918","https://openalex.org/W3176495323","https://openalex.org/W3183579868","https://openalex.org/W3195026654","https://openalex.org/W3216130706","https://openalex.org/W4221167437","https://openalex.org/W4221167472","https://openalex.org/W4226052928","https://openalex.org/W4293329554","https://openalex.org/W4310633850","https://openalex.org/W4312501707","https://openalex.org/W4312815172","https://openalex.org/W4383108599","https://openalex.org/W4386065508","https://openalex.org/W4386072289","https://openalex.org/W4386076252","https://openalex.org/W4401417047","https://openalex.org/W6631190155","https://openalex.org/W6678262379","https://openalex.org/W6682631176","https://openalex.org/W6739901393","https://openalex.org/W6751885507","https://openalex.org/W6755207826","https://openalex.org/W6757724268","https://openalex.org/W6765117743","https://openalex.org/W6766904570","https://openalex.org/W6769627184","https://openalex.org/W6778883912","https://openalex.org/W6784287907","https://openalex.org/W6791447439","https://openalex.org/W6795892075","https://openalex.org/W6800673378","https://openalex.org/W6803039797","https://openalex.org/W6810334672"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119"],"abstract_inverted_index":{"In":[0,63],"the":[1,5,49,105,108,118,126,137,140,168,189],"last":[2],"few":[3],"years,":[4],"research":[6],"interest":[7],"in":[8,29,41,167],"Vision-and-Language":[9],"Navigation":[10],"(VLN)":[11],"has":[12],"grown":[13],"significantly.":[14],"VLN":[15,173],"is":[16,92,181],"a":[17,30,36,69,95,100,113,122],"challenging":[18],"task":[19],"that":[20,78],"involves":[21],"an":[22,165,171],"agent":[23],"following":[24],"human":[25],"instructions":[26,53,84,142,152],"and":[27,81,99,131,143,163,185,187],"navigating":[28],"previously":[31],"unknown":[32],"environment":[33],"to":[34,47,85,121],"reach":[35],"specified":[37],"goal.":[38],"Recent":[39],"work":[40],"literature":[42],"focuses":[43],"on":[44,158,183],"different":[45],"ways":[46],"augment":[48],"available":[50],"datasets":[51],"of":[52,94,115,139,170,178,192],"for":[54,112,153],"improving":[55],"navigation":[56,87],"performance":[57,169],"by":[58,73],"exploiting":[59],"synthetic":[60,83,151],"training":[61,106],"data.":[62],"this":[64],"work,":[65],"we":[66,135,149],"propose":[67],"AIGeN,":[68],"novel":[70],"architecture":[71],"inspired":[72],"Generative":[74],"Adversarial":[75],"Networks":[76],"(GANs)":[77],"produces":[79],"meaningful":[80],"well-formed":[82],"improve":[86],"agents\u2019":[88],"performance.":[89,197],"The":[90,175],"model":[91],"composed":[93],"Transformer":[96,101],"decoder":[97,109],"(GPT-2)":[98],"encoder":[102,127],"(BERT).":[103],"During":[104],"phase,":[107],"generates":[110],"sentences":[111],"sequence":[114],"images":[116],"describing":[117],"agent\u2019s":[119],"path":[120],"particular":[123],"point":[124],"while":[125],"discriminates":[128],"between":[129],"real":[130],"fake":[132],"instructions.":[133],"Experimentally,":[134],"evaluate":[136],"quality":[138],"generated":[141],"perform":[144],"extensive":[145],"ablation":[146],"studies.":[147],"Additionally,":[148],"generate":[150],"217K":[154],"trajectories":[155],"using":[156],"AIGeN":[157],"Habitat-Matterport":[159],"3D":[160],"Dataset":[161],"(HM3D)":[162],"show":[164],"improvement":[166],"off-the-shelf":[172],"method.":[174],"validation":[176],"analysis":[177],"our":[179,193],"proposal":[180],"conducted":[182],"REVERIE":[184],"R2R":[186],"highlights":[188],"promising":[190],"aspects":[191],"proposal,":[194],"achieving":[195],"state-of-the-art":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
