{"id":"https://openalex.org/W2883789162","doi":"https://doi.org/10.1109/tip.2018.2857219","title":"Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images","display_name":"Relative CNN-RNN: Learning Relative Atmospheric Visibility From Images","publication_year":2018,"publication_date":"2018-07-18","ids":{"openalex":"https://openalex.org/W2883789162","doi":"https://doi.org/10.1109/tip.2018.2857219","mag":"2883789162","pmid":"https://pubmed.ncbi.nlm.nih.gov/30028702"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2857219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2857219","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100658703","display_name":"Yang You","orcid":"https://orcid.org/0000-0003-0125-0792"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang You","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010726528","display_name":"Cewu Lu","orcid":"https://orcid.org/0000-0002-4023-9257"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cewu Lu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"raw_orcid":"https://orcid.org/0000-0002-4023-9257","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342172","display_name":"Weiming Wang","orcid":"https://orcid.org/0000-0002-1406-3315"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062566088","display_name":"Chi\u2013Keung Tang","orcid":"https://orcid.org/0000-0001-6495-3685"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Keung Tang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Kowloon, HK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Kowloon, HK","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7456,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.95209051,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"28","issue":"1","first_page":"45","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8120457530021667},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7435240745544434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7237567901611328},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6937785744667053},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6623316407203674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6254334449768066},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4604940712451935},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.43728533387184143},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41781699657440186},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3745560646057129},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3361533284187317},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3170141875743866},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06555244326591492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120457530021667},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7435240745544434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7237567901611328},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6937785744667053},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6623316407203674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6254334449768066},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4604940712451935},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.43728533387184143},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41781699657440186},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3745560646057129},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3361533284187317},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3170141875743866},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06555244326591492},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2018.2857219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2857219","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30028702","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30028702","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-94982","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-94982","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-94982","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-94982","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1552767446","https://openalex.org/W1566135517","https://openalex.org/W1604260941","https://openalex.org/W1803059841","https://openalex.org/W1854214752","https://openalex.org/W2028990532","https://openalex.org/W2047221353","https://openalex.org/W2056149869","https://openalex.org/W2065002911","https://openalex.org/W2081418206","https://openalex.org/W2094433308","https://openalex.org/W2110644821","https://openalex.org/W2114867966","https://openalex.org/W2121880036","https://openalex.org/W2123996346","https://openalex.org/W2128254161","https://openalex.org/W2129480988","https://openalex.org/W2133773881","https://openalex.org/W2141030717","https://openalex.org/W2143331230","https://openalex.org/W2147318913","https://openalex.org/W2161880237","https://openalex.org/W2163605009","https://openalex.org/W2164719400","https://openalex.org/W2194775991","https://openalex.org/W2294130536","https://openalex.org/W2920956473","https://openalex.org/W2951527505","https://openalex.org/W2951843153","https://openalex.org/W2980121369","https://openalex.org/W3005962315","https://openalex.org/W4246926188","https://openalex.org/W4285719527","https://openalex.org/W6632992187","https://openalex.org/W6639055396","https://openalex.org/W6643713163","https://openalex.org/W6662223031","https://openalex.org/W6664531694","https://openalex.org/W6667146806","https://openalex.org/W6677034156","https://openalex.org/W6677484213","https://openalex.org/W6679590855","https://openalex.org/W6680285114","https://openalex.org/W6680799712","https://openalex.org/W6682137061","https://openalex.org/W6683879197","https://openalex.org/W6684191040","https://openalex.org/W6684424357","https://openalex.org/W6687483927","https://openalex.org/W6697156639"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"We":[0,160],"propose":[1],"a":[2,34,77,103],"deep":[3,84],"learning":[4,85],"approach":[5,31],"for":[6,55,62],"directly":[7],"estimating":[8],"relative":[9,48,71,138],"atmospheric":[10],"visibility":[11,45,146,179],"from":[12,88,125],"outdoor":[13],"photos":[14],"without":[15],"relying":[16],"on":[17,33],"weather":[18],"images":[19,39,170],"or":[20,26],"data":[21,180],"that":[22],"require":[23],"expensive":[24],"sensing":[25],"custom":[27],"capture.":[28],"Our":[29],"data-driven":[30,83],"capitalizes":[32],"large":[35],"collection":[36],"of":[37,70,98,167],"Internet":[38],"to":[40,101,130,143,156,186],"learn":[41],"rich":[42],"scene":[43],"and":[44,59,81,106,152],"varieties.":[46],"The":[47,93,111,136,176],"CNN-RNN":[49,91,94],"coarse-to-fine":[50,109],"model,":[51],"where":[52],"CNN":[53,104,112],"stands":[54,61],"convolutional":[56],"neural":[57,64],"network":[58],"RNN":[60,108,119],"recurrent":[63],"network,":[65],"exploits":[66],"the":[67,82,114,118,126,131],"joint":[68],"power":[69],"support":[72],"vector":[73],"machine,":[74],"which":[75],"has":[76],"good":[78],"ranking":[79],"representation,":[80],"features":[86],"derived":[87],"our":[89,158],"novel":[90],"model.":[92],"model":[95,139],"makes":[96],"use":[97],"shortcut":[99],"connections":[100],"bridge":[102],"module":[105],"an":[107,163],"module.":[110],"captures":[113],"global":[115],"view":[116],"while":[117],"simulates":[120],"human's":[121],"attention":[122],"shift,":[123],"namely,":[124],"whole":[127],"image":[128],"(global)":[129],"farthest":[132],"discerned":[133],"region":[134],"(local).":[135],"learned":[137],"can":[140],"be":[141,183],"adapted":[142],"predict":[144],"absolute":[145],"in":[147],"limited":[148],"scenarios.":[149],"Extensive":[150],"experiments":[151],"comparisons":[153],"are":[154],"performed":[155],"verify":[157],"method.":[159],"have":[161],"built":[162],"annotated":[164,178],"dataset":[165],"consisting":[166],"about":[168],"40000":[169],"with":[171],"0.2":[172],"million":[173],"human":[174],"annotations.":[175],"large-scale,":[177],"set":[181],"will":[182],"made":[184],"available":[185],"accompany":[187],"this":[188],"paper.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
