{"id":"https://openalex.org/W2083366168","doi":"https://doi.org/10.1145/2601097.2601101","title":"Transient attributes for high-level understanding and editing of outdoor scenes","display_name":"Transient attributes for high-level understanding and editing of outdoor scenes","publication_year":2014,"publication_date":"2014-07-22","ids":{"openalex":"https://openalex.org/W2083366168","doi":"https://doi.org/10.1145/2601097.2601101","mag":"2083366168"},"language":"en","primary_location":{"id":"doi:10.1145/2601097.2601101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2601097.2601101","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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 Graphics","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/A5109563031","display_name":"Pierre-Yves Laffont","orcid":null},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pierre-Yves Laffont","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014894873","display_name":"Zhile Ren","orcid":"https://orcid.org/0000-0002-0302-795X"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhile Ren","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624765","display_name":"Xiaofeng Tao","orcid":"https://orcid.org/0000-0001-9518-1622"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Tao","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004200901","display_name":"Chao Qian","orcid":"https://orcid.org/0000-0001-5640-2146"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Qian","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016775802","display_name":"James Hays","orcid":"https://orcid.org/0000-0001-7016-4252"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Hays","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.8224,"has_fulltext":false,"cited_by_count":293,"citation_normalized_percentile":{"value":0.99343233,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"33","issue":"4","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.782690703868866},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6949985027313232},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6750459671020508},{"id":"https://openalex.org/keywords/dusk","display_name":"Dusk","score":0.664262592792511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410017967224121},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.509547233581543},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.4870005249977112},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36397093534469604},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1557401418685913},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.076535165309906},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07136008143424988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.782690703868866},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6949985027313232},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6750459671020508},{"id":"https://openalex.org/C85181434","wikidata":"https://www.wikidata.org/wiki/Q11288132","display_name":"Dusk","level":2,"score":0.664262592792511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410017967224121},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.509547233581543},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.4870005249977112},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36397093534469604},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1557401418685913},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.076535165309906},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07136008143424988},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2601097.2601101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2601097.2601101","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"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 Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.9299","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.9299","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.brown.edu/%7Eren/publications/siggraph2014/TransientAttributes.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G213986411","display_name":null,"funder_award_id":"FA8650-12-C-7212","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"},{"id":"https://openalex.org/G94482779","display_name":"CAREER: Representing, Understanding, and Enhancing Scenes at the Internet-Scale","funder_award_id":"1149853","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"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1522423740","https://openalex.org/W1606858007","https://openalex.org/W1966718790","https://openalex.org/W1970369748","https://openalex.org/W1972420097","https://openalex.org/W1997697625","https://openalex.org/W2009806649","https://openalex.org/W2011067448","https://openalex.org/W2017387569","https://openalex.org/W2017814585","https://openalex.org/W2019969451","https://openalex.org/W2020733757","https://openalex.org/W2025328853","https://openalex.org/W2028219289","https://openalex.org/W2028990532","https://openalex.org/W2029262840","https://openalex.org/W2033365921","https://openalex.org/W2055302526","https://openalex.org/W2065749455","https://openalex.org/W2067191022","https://openalex.org/W2070148066","https://openalex.org/W2070309867","https://openalex.org/W2080754665","https://openalex.org/W2098411764","https://openalex.org/W2102796633","https://openalex.org/W2116645175","https://openalex.org/W2123576187","https://openalex.org/W2125310925","https://openalex.org/W2125560515","https://openalex.org/W2126043703","https://openalex.org/W2126448884","https://openalex.org/W2129112648","https://openalex.org/W2134921974","https://openalex.org/W2136150876","https://openalex.org/W2141015396","https://openalex.org/W2150810898","https://openalex.org/W2156598602","https://openalex.org/W2160110230","https://openalex.org/W2160777052","https://openalex.org/W2161920802","https://openalex.org/W2163405717","https://openalex.org/W2163808566","https://openalex.org/W2292976057","https://openalex.org/W2294130536","https://openalex.org/W2541113228","https://openalex.org/W3005895305","https://openalex.org/W3105906614","https://openalex.org/W3136011427","https://openalex.org/W3139167831","https://openalex.org/W4229844323","https://openalex.org/W4230472795","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W2383481365","https://openalex.org/W1503094549","https://openalex.org/W1498953177","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2127925854","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2163272972"],"abstract_inverted_index":{"We":[0,44,60,79,138],"live":[1],"in":[2,76,148],"a":[3,81,92,99,106,110,123],"dynamic":[4],"visual":[5],"world":[6],"where":[7],"the":[8,72,103,136],"appearance":[9,125],"of":[10,55,74,105],"scenes":[11],"changes":[12],"dramatically":[13],"from":[14,57],"hour":[15,17],"to":[16,20,52,66,101,112],"or":[18,115],"season":[19],"season.":[21],"In":[22],"this":[23,62],"work":[24],"we":[25,90,121,141],"study":[26],"\"transient":[27,63],"scene":[28,36,111],"attributes\"":[29],"--":[30],"high":[31],"level":[32],"properties":[33],"which":[34,97,128],"affect":[35],"appearance,":[37],"such":[38],"as":[39],"\"snow\",":[40],"\"autumn\",":[41],"\"dusk\",":[42],"\"fog\".":[43],"define":[45],"40":[46],"transient":[47,146],"attributes":[48,75,104,147],"and":[49,131],"use":[50,61],"crowdsourcing":[51],"annotate":[53],"thousands":[54],"images":[56],"101":[58],"webcams.":[59],"attribute":[64,119],"database\"":[65],"train":[67],"regressors":[68],"that":[69,140],"can":[70,142],"predict":[71],"presence":[73],"novel":[77,124],"images.":[78],"demonstrate":[80],"photo":[82],"organization":[83],"method":[84,96],"based":[85],"on":[86],"predicted":[87],"attributes.":[88],"Finally":[89],"propose":[91],"high-level":[93],"image":[94],"editing":[95],"allows":[98],"user":[100],"adjust":[102],"scene,":[107],"e.g.":[108],"change":[109],"be":[113],"\"snowy\"":[114],"\"sunset\".":[116],"To":[117],"support":[118],"manipulation":[120],"introduce":[122],"transfer":[126],"technique":[127],"is":[129],"simple":[130],"fast":[132],"yet":[133],"competitive":[134],"with":[135],"state-of-the-art.":[137],"show":[139],"convincingly":[143],"modify":[144],"many":[145],"outdoor":[149],"scenes.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":39},{"year":2018,"cited_by_count":33},{"year":2017,"cited_by_count":34},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":13}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
