{"id":"https://openalex.org/W4406094054","doi":"https://doi.org/10.1109/tits.2024.3510515","title":"Semantically Adversarial Scene Generation With Explicit Knowledge Guidance","display_name":"Semantically Adversarial Scene Generation With Explicit Knowledge Guidance","publication_year":2025,"publication_date":"2025-01-06","ids":{"openalex":"https://openalex.org/W4406094054","doi":"https://doi.org/10.1109/tits.2024.3510515"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3510515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3510515","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","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/A5058280572","display_name":"Wenhao Ding","orcid":"https://orcid.org/0000-0003-3218-8792"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenhao Ding","raw_affiliation_strings":["NVIDIA Research, Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"NVIDIA Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102482811","display_name":"Haohong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haohong Lin","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649625","display_name":"Bo Li","orcid":"https://orcid.org/0009-0001-8108-4765"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["Computer Science Department, University of Illinois Urbana-Champaign, Urbana, IL, USA","Computer Science Department, University of Illinois Urbana&#x2013;Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Illinois Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Computer Science Department, University of Illinois Urbana&#x2013;Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037644321","display_name":"Ding Zhao","orcid":"https://orcid.org/0000-0002-9400-8446"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ding Zhao","raw_affiliation_strings":["Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058280572"],"corresponding_institution_ids":["https://openalex.org/I4210127875"],"apc_list":null,"apc_paid":null,"fwci":4.9609,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.94234835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"26","issue":"2","first_page":"1510","last_page":"1521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9890999794006348,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9890999794006348,"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/T12290","display_name":"Human Motion and Animation","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9740999937057495,"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":0.8318711519241333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.662092924118042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5002810955047607},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41746118664741516},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41574689745903015}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8318711519241333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662092924118042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5002810955047607},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41746118664741516},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41574689745903015}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3510515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3510515","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6350943594","display_name":null,"funder_award_id":"CNS-2047454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W2001098248","https://openalex.org/W2002827932","https://openalex.org/W2016589492","https://openalex.org/W2175031088","https://openalex.org/W2225156818","https://openalex.org/W2327562811","https://openalex.org/W2538243221","https://openalex.org/W2739010165","https://openalex.org/W2775085189","https://openalex.org/W2799123546","https://openalex.org/W2910850389","https://openalex.org/W2950096400","https://openalex.org/W2955189650","https://openalex.org/W2958109694","https://openalex.org/W2962770929","https://openalex.org/W2962818872","https://openalex.org/W2963068442","https://openalex.org/W2963121255","https://openalex.org/W2963527086","https://openalex.org/W2963601843","https://openalex.org/W2965314697","https://openalex.org/W2968638474","https://openalex.org/W2968993450","https://openalex.org/W2985068832","https://openalex.org/W2985936292","https://openalex.org/W2991216808","https://openalex.org/W3034455297","https://openalex.org/W3034716600","https://openalex.org/W3035275207","https://openalex.org/W3035355202","https://openalex.org/W3082665562","https://openalex.org/W3109125268","https://openalex.org/W3109944402","https://openalex.org/W3110015970","https://openalex.org/W3125423558","https://openalex.org/W3130718496","https://openalex.org/W3133465684","https://openalex.org/W3152356823","https://openalex.org/W3173280621","https://openalex.org/W3214186465","https://openalex.org/W4205170504","https://openalex.org/W4225553088","https://openalex.org/W4226392282","https://openalex.org/W4226440390","https://openalex.org/W4244393449","https://openalex.org/W4289436753","https://openalex.org/W4311415873","https://openalex.org/W4322706623","https://openalex.org/W4353056919","https://openalex.org/W4361861254","https://openalex.org/W4366150469","https://openalex.org/W4366957398","https://openalex.org/W4385695488","https://openalex.org/W4390905269","https://openalex.org/W4391621203","https://openalex.org/W6628124331","https://openalex.org/W6637568146","https://openalex.org/W6719982585","https://openalex.org/W6733974131","https://openalex.org/W6745935785","https://openalex.org/W6746569791","https://openalex.org/W6747927160","https://openalex.org/W6748188831","https://openalex.org/W6749725282","https://openalex.org/W6752279500","https://openalex.org/W6753701838","https://openalex.org/W6755312952","https://openalex.org/W6756663807","https://openalex.org/W6759580348","https://openalex.org/W6765977438","https://openalex.org/W6766978945","https://openalex.org/W6767654570","https://openalex.org/W6771946023","https://openalex.org/W6779439776","https://openalex.org/W6780439892","https://openalex.org/W6780878181","https://openalex.org/W6781274669","https://openalex.org/W6786900987","https://openalex.org/W6787224462","https://openalex.org/W6793362090","https://openalex.org/W6853903263"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","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/W3204019825"],"abstract_inverted_index":{"Generating":[0],"adversarial":[1,176],"scenes":[2,178],"that":[3,171],"potentially":[4],"fail":[5],"autonomous":[6,168],"driving":[7,37,83,177],"systems":[8],"provides":[9],"an":[10],"effective":[11],"way":[12],"to":[13,56,67,110,148,164],"improve":[14],"their":[15],"robustness.":[16],"Extending":[17],"purely":[18],"data-driven":[19],"generative":[20],"models,":[21],"recent":[22],"specialized":[23],"models":[24,186],"satisfy":[25],"additional":[26],"controllable":[27,134],"requirements":[28],"such":[29],"as":[30,192],"embedding":[31],"a":[32,36,54,105,145,158],"traffic":[33],"sign":[34],"in":[35,63,157],"scene":[38,113],"by":[39],"manipulating":[40],"patterns":[41],"<italic":[42,60,69],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[43,61,70],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">implicitly</i>":[44],"at":[45],"the":[46,64,80,88,93,98,120,127,138,150,189],"neuron":[47],"level.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,85,143],"introduce":[53],"method":[55,156,173],"incorporate":[57],"domain":[58],"knowledge":[59,89,131],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">explicitly</i>":[62],"generation":[65],"process":[66],"achieve":[68],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Semantically":[71],"Adversarial":[72],"Generation":[73],"(SAG)</i>":[74],".":[75],"To":[76,136],"be":[77],"consistent":[78],"with":[79],"composition":[81],"of":[82,95,122,140,154],"scenes,":[84],"first":[86],"categorize":[87],"into":[90,126],"two":[91],"types,":[92],"property":[94],"objects":[96],"and":[97,124,152,187],"relationship":[99],"among":[100],"objects.":[101],"We":[102,161],"then":[103],"propose":[104],"tree-structured":[106],"variational":[107],"auto-encoder":[108],"(T-VAE)":[109],"learn":[111],"hierarchical":[112],"representation.":[114],"By":[115],"imposing":[116],"semantic":[117],"rules":[118],"on":[119],"properties":[121],"nodes":[123],"edges":[125],"tree":[128],"structure,":[129],"explicit":[130,193],"integration":[132],"enables":[133],"generation.":[135],"demonstrate":[137],"advantage":[139],"structural":[141],"representation,":[142],"construct":[144],"synthetic":[146],"example":[147],"illustrate":[149],"controllability":[151],"explainability":[153],"our":[155,172],"succinct":[159],"setting.":[160],"further":[162],"extend":[163],"realistic":[165],"environments":[166],"for":[167],"vehicles,":[169],"showing":[170],"efficiently":[174],"identifies":[175],"against":[179],"different":[180],"state-of-the-art":[181],"3D":[182],"point":[183],"cloud":[184],"segmentation":[185],"satisfies":[188],"constraints":[190],"specified":[191],"knowledge.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}