{"id":"https://openalex.org/W2999554781","doi":"https://doi.org/10.1109/wacv45572.2020.9093549","title":"A Little Fog for a Large Turn","display_name":"A Little Fog for a Large Turn","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2999554781","doi":"https://doi.org/10.1109/wacv45572.2020.9093549","mag":"2999554781"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.05873","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059435437","display_name":"Harshitha Machiraju","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshitha Machiraju","raw_affiliation_strings":["Indian Institute of Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038020125","display_name":"Vineeth N Balasubramanian","orcid":"https://orcid.org/0000-0003-2656-0375"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vineeth N Balasubramanian","raw_affiliation_strings":["Indian Institute of Technology, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3541,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84846315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2891","last_page":"2900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9937999844551086,"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":0.867524266242981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005245685577393},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6288340091705322},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6116322875022888},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.5428651571273804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5170510411262512},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4614059031009674},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4303135871887207},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.42450588941574097},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41330069303512573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3420678377151489},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.272523432970047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12085554003715515}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.867524266242981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005245685577393},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6288340091705322},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6116322875022888},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.5428651571273804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5170510411262512},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4614059031009674},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4303135871887207},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.42450588941574097},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41330069303512573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3420678377151489},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.272523432970047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12085554003715515},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.05873","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05873","pdf_url":"https://arxiv.org/pdf/2001.05873","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:raiith.iith.ac.in:8615","is_oa":false,"landing_page_url":"http://raiith.iith.ac.in/8615/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400292","display_name":"Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I65181880","host_organization_name":"Indian Institute of Technology Hyderabad","host_organization_lineage":["https://openalex.org/I65181880"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.05873","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05873","pdf_url":"https://arxiv.org/pdf/2001.05873","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":[{"id":"https://metadata.un.org/sdg/14","score":0.4099999964237213,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2133665775","https://openalex.org/W2180612164","https://openalex.org/W2293894573","https://openalex.org/W2340897893","https://openalex.org/W2342840547","https://openalex.org/W2431874326","https://openalex.org/W2480856453","https://openalex.org/W2483814582","https://openalex.org/W2535873859","https://openalex.org/W2543927648","https://openalex.org/W2558027072","https://openalex.org/W2748021867","https://openalex.org/W2753704268","https://openalex.org/W2759471388","https://openalex.org/W2767621168","https://openalex.org/W2773726006","https://openalex.org/W2785685510","https://openalex.org/W2807007689","https://openalex.org/W2887964057","https://openalex.org/W2901870313","https://openalex.org/W2905744087","https://openalex.org/W2961301154","https://openalex.org/W2962700793","https://openalex.org/W2962793481","https://openalex.org/W2962867954","https://openalex.org/W2962964479","https://openalex.org/W2963150697","https://openalex.org/W2963207607","https://openalex.org/W2963327228","https://openalex.org/W2963542245","https://openalex.org/W2963560523","https://openalex.org/W2963703197","https://openalex.org/W2963780738","https://openalex.org/W2963928582","https://openalex.org/W2964253222","https://openalex.org/W2964301649","https://openalex.org/W2996904338","https://openalex.org/W3040318838","https://openalex.org/W3105806188","https://openalex.org/W3121281282","https://openalex.org/W4293846201","https://openalex.org/W4294517337","https://openalex.org/W4295719664","https://openalex.org/W4300124531","https://openalex.org/W4300511536","https://openalex.org/W6640425456","https://openalex.org/W6704559304","https://openalex.org/W6719080892","https://openalex.org/W6722063826","https://openalex.org/W6737309142","https://openalex.org/W6739366716","https://openalex.org/W6739868092","https://openalex.org/W6744718598","https://openalex.org/W6745935785","https://openalex.org/W6746307094","https://openalex.org/W6748179860","https://openalex.org/W6751831877","https://openalex.org/W6751839145","https://openalex.org/W6756976069","https://openalex.org/W6786289243"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2338718585","https://openalex.org/W2054620577"],"abstract_inverted_index":{"Small,":[0],"carefully":[1],"crafted":[2],"perturbations":[3,6,14,134],"called":[4],"adversarial":[5,74,95],"can":[7,60,77],"easily":[8],"fool":[9],"neural":[10],"networks.":[11],"However,":[12],"these":[13,47,108],"are":[15,52],"largely":[16],"additive":[17],"and":[18,83,104,129],"not":[19],"naturally":[20],"found.":[21],"We":[22],"turn":[23],"our":[24],"attention":[25],"to":[26,93],"the":[27,44],"field":[28],"of":[29,46,54,73,132],"Autonomous":[30,119],"navigation":[31,120],"wherein":[32],"adverse":[33],"weather":[34,50,96],"conditions":[35,51,97],"such":[36],"as":[37],"fog":[38],"have":[39],"a":[40,70,85,99,111,126],"drastic":[41],"effect":[42],"on":[43,136],"predictions":[45],"systems.":[48],"These":[49],"capable":[53],"acting":[55],"like":[56],"natural":[57,128],"adversaries":[58],"that":[59,107],"help":[61],"in":[62,118],"testing":[63],"models.":[64,121],"To":[65],"this":[66],"end,":[67],"we":[68],"introduce":[69],"general":[71,130],"notion":[72],"perturbations,":[75],"which":[76],"be":[78],"created":[79],"using":[80],"generative":[81],"models":[82,116],"provide":[84,110],"methodology":[86],"inspired":[87],"by":[88],"Cycle-Consistent":[89],"Generative":[90],"Adversarial":[91,133],"Networks":[92],"generate":[94],"for":[98,114],"given":[100],"image.":[101],"Our":[102,122],"formulation":[103],"results":[105],"show":[106],"images":[109],"suitable":[112],"testbed":[113],"steering":[115],"used":[117],"work":[123],"also":[124],"presents":[125],"more":[127],"definition":[131],"based":[135],"Perceptual":[137],"Similarity":[138],"<sup":[139],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[140],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[141],".":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}