{"id":"https://openalex.org/W2778152219","doi":"https://doi.org/10.1109/tip.2019.2908802","title":"Enhance Visual Recognition Under Adverse Conditions via Deep Networks","display_name":"Enhance Visual Recognition Under Adverse Conditions via Deep Networks","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2778152219","doi":"https://doi.org/10.1109/tip.2019.2908802","mag":"2778152219"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2908802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2908802","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.07732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ding Liu","orcid":"https://orcid.org/0000-0002-0931-1345"},"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":true,"raw_author_name":"Ding Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bowen Cheng","orcid":"https://orcid.org/0000-0002-4348-3845"},"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":"Bowen Cheng","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhangyang Wang","orcid":"https://orcid.org/0000-0002-2050-5693"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhangyang Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, Texas A&M University, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haichao Zhang","orcid":"https://orcid.org/0000-0002-3276-3390"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haichao Zhang","raw_affiliation_strings":["Baidu Research, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu Research, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Thomas S. Huang","orcid":null},"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":"Thomas S. Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and Beckman Institute, University of Illinois at Urbana\u2013Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":2.6563,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92070873,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"4401","last_page":"4412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.5299999713897705,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.5299999713897705,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14910000562667847,"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/T11019","display_name":"Image Enhancement Techniques","score":0.08579999953508377,"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/leverage","display_name":"Leverage (statistics)","score":0.6370999813079834},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5188000202178955},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4691999852657318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4616999924182892},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44440001249313354},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.40950000286102295},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.3750999867916107},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3671000003814697}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7649000287055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644000053405762},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6370999813079834},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.40950000286102295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40709999203681946},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3772999942302704},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3646000027656555},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.357699990272522},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.34860000014305115},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.33869999647140503},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.30959999561309814},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.28439998626708984},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.2565999925136566}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2908802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2908802","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":"pmh:oai:arXiv.org:1712.07732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.07732","pdf_url":"https://arxiv.org/pdf/1712.07732","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.07732","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.07732","pdf_url":"https://arxiv.org/pdf/1712.07732","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":[],"awards":[{"id":"https://openalex.org/G671583202","display_name":null,"funder_award_id":"W911NF-15-1-0317","funder_id":"https://openalex.org/F4320332447","funder_display_name":"U.S. Army"}],"funders":[{"id":"https://openalex.org/F4320332447","display_name":"U.S. Army","ror":"https://ror.org/00afsp483"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1983781364","https://openalex.org/W2009119155","https://openalex.org/W2016053056","https://openalex.org/W2019464758","https://openalex.org/W2025768430","https://openalex.org/W2077532029","https://openalex.org/W2082012145","https://openalex.org/W2097117768","https://openalex.org/W2098535678","https://openalex.org/W2114380981","https://openalex.org/W2114627449","https://openalex.org/W2117539524","https://openalex.org/W2121058967","https://openalex.org/W2145607950","https://openalex.org/W2238162249","https://openalex.org/W2320725294","https://openalex.org/W2325939864","https://openalex.org/W2345557152","https://openalex.org/W2488295497","https://openalex.org/W2511484725","https://openalex.org/W2562597538","https://openalex.org/W2626739722","https://openalex.org/W2779176852","https://openalex.org/W2781335552","https://openalex.org/W2795087793","https://openalex.org/W2963102887","https://openalex.org/W2963566548","https://openalex.org/W2963980515","https://openalex.org/W6600949241","https://openalex.org/W6602211262","https://openalex.org/W6605644354","https://openalex.org/W6607458078","https://openalex.org/W6620707391","https://openalex.org/W6634727124","https://openalex.org/W6635245820","https://openalex.org/W6638046521","https://openalex.org/W6677521738","https://openalex.org/W6677604277","https://openalex.org/W6677865137","https://openalex.org/W6679997575","https://openalex.org/W6680968271","https://openalex.org/W6681096077","https://openalex.org/W6681686951","https://openalex.org/W6684191040","https://openalex.org/W6703116779","https://openalex.org/W6787972765"],"related_works":[],"abstract_inverted_index":{"Visual":[0],"recognition":[1,48,61,81,143],"under":[2,83,150],"adverse":[3,84,88,96,128,155],"conditions":[4],"is":[5,133],"a":[6,69,117,137],"very":[7,63],"important":[8,58],"and":[9,45,79,104,110,141,145,159],"challenging":[10],"problem":[11,59],"of":[12,21,41,60,77,102,126,139,166],"high":[13],"practical":[14],"value,":[15],"due":[16],"to":[17,121,163],"the":[18,39,57,75,100,106,164,167],"ubiquitous":[19],"existence":[20],"quality":[22],"distortions":[23],"during":[24],"image":[25,43,47,78,140],"acquisition,":[26],"transmission,":[27],"or":[28,90,153],"storage.":[29],"While":[30],"deep":[31,70],"neural":[32],"networks":[33],"have":[34,53],"been":[35,54],"extensively":[36],"exploited":[37],"in":[38],"techniques":[40],"low-quality":[42,64],"restoration":[44],"high-quality":[46],"tasks,":[49],"respectively,":[50],"few":[51],"studies":[52],"done":[55],"on":[56,136],"from":[62],"images.":[65],"This":[66],"paper":[67],"proposes":[68],"learning-based":[71],"framework":[72,132],"for":[73],"improving":[74],"performance":[76,148],"video":[80,142],"models":[82],"conditions,":[85],"using":[86],"robust":[87,95],"pre-training":[89,97,103,109],"its":[91],"aggressive":[92],"variant.":[93],"The":[94,130],"algorithms":[98],"leverage":[99],"power":[101],"generalize":[105],"conventional":[107],"unsupervised":[108],"data":[111],"augmentation":[112],"methods.":[113],"We":[114],"further":[115,161],"develop":[116],"transfer":[118],"learning":[119],"approach":[120],"cope":[122],"with":[123],"real-world":[124],"datasets":[125],"unknown":[127],"conditions.":[129,156],"proposed":[131],"comprehensively":[134],"evaluated":[135],"number":[138],"benchmarks,":[144],"obtains":[146],"significant":[147],"improvements":[149],"various":[151],"single":[152],"mixed":[154],"Our":[157],"visualization":[158],"analysis":[160],"add":[162],"explainability":[165],"results.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2018-01-05T00:00:00"}
