{"id":"https://openalex.org/W4200186518","doi":"https://doi.org/10.1109/tits.2021.3131303","title":"A Shared Representation for Photorealistic Driving Simulators","display_name":"A Shared Representation for Photorealistic Driving Simulators","publication_year":2021,"publication_date":"2021-12-03","ids":{"openalex":"https://openalex.org/W4200186518","doi":"https://doi.org/10.1109/tits.2021.3131303"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3131303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3131303","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2112.05134","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020805912","display_name":"Saeed Saadatnejad","orcid":"https://orcid.org/0000-0001-7310-8686"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Saeed Saadatnejad","raw_affiliation_strings":["VITA Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"VITA Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406609","display_name":"Siyuan Li","orcid":"https://orcid.org/0000-0001-6806-2468"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Siyuan Li","raw_affiliation_strings":["VITA Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"VITA Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009010754","display_name":"Taylor Mordan","orcid":"https://orcid.org/0000-0002-4775-9239"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Taylor Mordan","raw_affiliation_strings":["VITA Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"VITA Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068504559","display_name":"Alexandre Alahi","orcid":"https://orcid.org/0000-0002-5004-1498"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alexandre Alahi","raw_affiliation_strings":["VITA Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"VITA Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020805912"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.5813,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69570785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"23","issue":"8","first_page":"13835","last_page":"13845"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9861000180244446,"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/discriminator","display_name":"Discriminator","score":0.7950502634048462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7865491509437561},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6417285203933716},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6390794515609741},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6313905715942383},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5656415820121765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.550410807132721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5021767616271973},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4977834224700928},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4371086359024048},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43215256929397583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3936064839363098},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12422537803649902}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7950502634048462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7865491509437561},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6417285203933716},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6390794515609741},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6313905715942383},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5656415820121765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550410807132721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5021767616271973},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4977834224700928},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4371086359024048},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43215256929397583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3936064839363098},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12422537803649902},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"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/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tits.2021.3131303","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2021.3131303","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"},{"id":"pmh:oai:arXiv.org:2112.05134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.05134","pdf_url":"https://arxiv.org/pdf/2112.05134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:infoscience.epfl.ch:290658","is_oa":true,"landing_page_url":"https://infoscience.epfl.ch/handle/20.500.14299/183777","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2112.05134","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2112.05134","pdf_url":"https://arxiv.org/pdf/2112.05134","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W189587150","https://openalex.org/W2099471712","https://openalex.org/W2339754110","https://openalex.org/W2340897893","https://openalex.org/W2397830550","https://openalex.org/W2471768434","https://openalex.org/W2525936901","https://openalex.org/W2559085405","https://openalex.org/W2771558241","https://openalex.org/W2798429327","https://openalex.org/W2798714868","https://openalex.org/W2807033398","https://openalex.org/W2952934820","https://openalex.org/W2953096069","https://openalex.org/W2962770929","https://openalex.org/W2962850830","https://openalex.org/W2962963674","https://openalex.org/W2962974533","https://openalex.org/W2963049565","https://openalex.org/W2963073614","https://openalex.org/W2963522749","https://openalex.org/W2963649420","https://openalex.org/W2963800363","https://openalex.org/W2964002510","https://openalex.org/W2970048031","https://openalex.org/W2984529706","https://openalex.org/W2990452356","https://openalex.org/W2996960095","https://openalex.org/W2999862950","https://openalex.org/W3009290327","https://openalex.org/W3034264193","https://openalex.org/W3035687950","https://openalex.org/W3096456322","https://openalex.org/W3108910236","https://openalex.org/W3179041635","https://openalex.org/W3195107488","https://openalex.org/W3195924537","https://openalex.org/W3205898917","https://openalex.org/W4295719664","https://openalex.org/W6640963894","https://openalex.org/W6726983635","https://openalex.org/W6729482032","https://openalex.org/W6738824914","https://openalex.org/W6745560452","https://openalex.org/W6745935785","https://openalex.org/W6747654920","https://openalex.org/W6753914649","https://openalex.org/W6754560582","https://openalex.org/W6755312952","https://openalex.org/W6765779288","https://openalex.org/W6767457696","https://openalex.org/W6768595565","https://openalex.org/W6769148693","https://openalex.org/W6784453280"],"related_works":["https://openalex.org/W4293320219","https://openalex.org/W2953246223","https://openalex.org/W4283584549","https://openalex.org/W2554314924","https://openalex.org/W4288256692","https://openalex.org/W2998859928","https://openalex.org/W4381885966","https://openalex.org/W2969399009","https://openalex.org/W4398186750","https://openalex.org/W3151498616"],"abstract_inverted_index":{"A":[0],"powerful":[1],"simulator":[2],"highly":[3],"decreases":[4],"the":[5,20,50,57,64,99,147,153],"need":[6],"for":[7],"real-world":[8],"tests":[9],"when":[10],"training":[11],"and":[12,132,156],"evaluating":[13],"autonomous":[14],"vehicles.":[15],"Data-driven":[16],"simulators":[17],"flourished":[18],"with":[19,121],"recent":[21],"advancement":[22],"of":[23,52,66,141,149],"conditional":[24,142],"Generative":[25],"Adversarial":[26],"Networks":[27],"(cGANs),":[28],"providing":[29],"high-fidelity":[30],"images.":[31],"The":[32,60,127,164],"main":[33],"challenge":[34],"is":[35,62,166],"synthesizing":[36],"photorealistic":[37],"images":[38,54,69],"while":[39],"following":[40],"given":[41,72],"constraints.":[42],"In":[43],"this":[44],"work,":[45],"we":[46],"propose":[47,91],"to":[48,90,103,113,135,138],"improve":[49],"quality":[51],"generated":[53,71],"by":[55],"rethinking":[56],"discriminator":[58,95],"architecture.":[59],"focus":[61],"on":[63,86,152],"class":[65],"problems":[67],"where":[68],"are":[70,130],"semantic":[73,116],"inputs,":[74],"such":[75],"as":[76],"scene":[77],"segmentation":[78],"maps":[79],"or":[80],"human":[81,157],"body":[82],"poses.":[83],"We":[84,101,145],"build":[85],"successful":[87],"cGAN":[88],"models":[89],"a":[92,105,122],"new":[93],"semantically-aware":[94],"that":[96,109],"better":[97],"guides":[98],"generator.":[100],"aim":[102],"learn":[104],"shared":[106],"latent":[107],"representation":[108],"encodes":[110],"enough":[111,134],"information":[112],"jointly":[114],"do":[115],"segmentation,":[117],"content":[118],"reconstruction,":[119],"along":[120],"coarse-to-fine":[123],"grained":[124],"adversarial":[125],"reasoning.":[126],"achieved":[128],"improvements":[129],"generic":[131],"simple":[133],"be":[136],"applied":[137],"any":[139],"architecture":[140],"image":[143],"synthesis.":[144],"demonstrate":[146],"strength":[148],"our":[150],"method":[151],"scene,":[154],"building,":[155],"synthesis":[158],"tasks":[159],"across":[160],"three":[161],"different":[162],"datasets.":[163],"code":[165],"available":[167],"<uri":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/vita-epfl/SemDisc</uri>":[170],".":[171]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}