{"id":"https://openalex.org/W2997891449","doi":"https://doi.org/10.1109/tcsvt.2019.2962867","title":"Depth Map Enhancement by Revisiting Multi-Scale Intensity Guidance Within Coarse-to-Fine Stages","display_name":"Depth Map Enhancement by Revisiting Multi-Scale Intensity Guidance Within Coarse-to-Fine Stages","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2997891449","doi":"https://doi.org/10.1109/tcsvt.2019.2962867","mag":"2997891449"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2019.2962867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2962867","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5018613505","display_name":"Yifan Zuo","orcid":"https://orcid.org/0000-0003-4980-7211"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan Zuo","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063013411","display_name":"Yuming Fang","orcid":"https://orcid.org/0000-0002-6946-3586"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Fang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111595030","display_name":"Yong Yang","orcid":"https://orcid.org/0000-0002-9831-8783"},"institutions":[{"id":"https://openalex.org/I59649739","display_name":"Jiangxi University of Finance and Economics","ror":"https://ror.org/03efmyj29","country_code":"CN","type":"education","lineage":["https://openalex.org/I59649739"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Management, Jiangxi University of Finance and Economics, Nanchang, China","institution_ids":["https://openalex.org/I59649739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018198094","display_name":"Xiwu Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwu Shang","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063629854","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018613505"],"corresponding_institution_ids":["https://openalex.org/I59649739"],"apc_list":null,"apc_paid":null,"fwci":1.1244,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.82807549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"12","first_page":"4676","last_page":"4687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9991999864578247,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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/residual","display_name":"Residual","score":0.7557070255279541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759747862815857},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.662928581237793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6315630078315735},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5500909686088562},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5398454070091248},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5268876552581787},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5020427703857422},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5000214576721191},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4987194538116455},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4849832057952881},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.45712655782699585},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45095837116241455},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44145500659942627},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4293842911720276},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4229915142059326},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.417818158864975},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4053671360015869},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3947893977165222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3267174959182739},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23347383737564087},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12189656496047974}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7557070255279541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759747862815857},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.662928581237793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6315630078315735},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5500909686088562},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5398454070091248},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5268876552581787},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5020427703857422},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5000214576721191},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4987194538116455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4849832057952881},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45712655782699585},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45095837116241455},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44145500659942627},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4293842911720276},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4229915142059326},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.417818158864975},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4053671360015869},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3947893977165222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3267174959182739},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23347383737564087},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12189656496047974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2019.2962867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2019.2962867","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/144440","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/144440","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2848008120","display_name":null,"funder_award_id":"20181BBH80002","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G300724185","display_name":null,"funder_award_id":"61822109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3255470354","display_name":null,"funder_award_id":"61901197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4813989245","display_name":null,"funder_award_id":"61571212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8140118750","display_name":null,"funder_award_id":"20192BAB217005","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1484539719","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1919542679","https://openalex.org/W1948643287","https://openalex.org/W1964370383","https://openalex.org/W1971918169","https://openalex.org/W1981705310","https://openalex.org/W1994184495","https://openalex.org/W2006569449","https://openalex.org/W2015207482","https://openalex.org/W2030300879","https://openalex.org/W2053812214","https://openalex.org/W2082253268","https://openalex.org/W2104599718","https://openalex.org/W2104600947","https://openalex.org/W2107884096","https://openalex.org/W2109945199","https://openalex.org/W2118273112","https://openalex.org/W2125188192","https://openalex.org/W2153388956","https://openalex.org/W2159133800","https://openalex.org/W2160956336","https://openalex.org/W2214189948","https://openalex.org/W2343734370","https://openalex.org/W2494890720","https://openalex.org/W2500602996","https://openalex.org/W2512875120","https://openalex.org/W2518792500","https://openalex.org/W2520322935","https://openalex.org/W2520953340","https://openalex.org/W2521490062","https://openalex.org/W2572371791","https://openalex.org/W2581673920","https://openalex.org/W2751237813","https://openalex.org/W2800443886","https://openalex.org/W2800540452","https://openalex.org/W2801129061","https://openalex.org/W2888469947","https://openalex.org/W2897501237","https://openalex.org/W2897799240","https://openalex.org/W2907226170","https://openalex.org/W2907260333","https://openalex.org/W2943070796","https://openalex.org/W2949117887","https://openalex.org/W2950290849","https://openalex.org/W2963031226","https://openalex.org/W2963814095","https://openalex.org/W2964121744","https://openalex.org/W2978368526","https://openalex.org/W3104196124","https://openalex.org/W4241716071","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6639824700","https://openalex.org/W6640763731","https://openalex.org/W6676600194","https://openalex.org/W6757730835","https://openalex.org/W6758398949"],"related_works":["https://openalex.org/W2795471480","https://openalex.org/W2520322935","https://openalex.org/W2027589961","https://openalex.org/W3005941135","https://openalex.org/W2104324080","https://openalex.org/W2086087387","https://openalex.org/W2539424392","https://openalex.org/W2171321620","https://openalex.org/W2140069086","https://openalex.org/W2537394792"],"abstract_inverted_index":{"Being":[0],"different":[1],"from":[2,49,99],"the":[3,21,30,36,41,45,61,67,76,83,88,92,96,101,111,118,131,147,155,158,163,169,176,186,209,214],"most":[4],"methods":[5],"of":[6,23,32,57,66,85,113],"guided":[7],"depth":[8,22,47,59,120,133,159,166],"map":[9],"enhancement":[10],"based":[11,212],"on":[12,19,213],"deep":[13],"convolutional":[14],"neural":[15],"network":[16,37,43,90],"which":[17,100,137,199],"focus":[18],"increasing":[20],"networks,":[24],"this":[25],"paper":[26],"is":[27,79,104,138,173,192],"to":[28,51,130,174],"improve":[29],"effectiveness":[31],"intensity":[33,93,114],"guidance":[34,68,78,103],"when":[35],"goes":[38],"deep.":[39],"Overall,":[40],"proposed":[42,89,190],"upsamples":[44],"low-resolution":[46],"maps":[48],"coarse":[50],"fine.":[52],"Within":[53],"each":[54,180],"refinement":[55,181],"stage":[56,182],"certain-scale":[58],"features,":[60],"current-scale":[62],"and":[63,162,183,196,216],"all":[64],"coarse-scales":[65],"features":[69,94,121,134],"are":[70,127],"revisited":[71],"by":[72],"dense":[73],"connection.":[74],"Therefore,":[75],"multi-scale":[77,102],"efficiently":[80],"maintained":[81],"as":[82],"propagation":[84],"features.":[86],"Furthermore,":[87],"maintains":[91],"in":[95,143,151],"high-resolution":[97],"domain":[98,153],"directly":[105,128],"extracted.":[106],"This":[107],"design":[108],"further":[109],"improves":[110],"quality":[112],"guidance.":[115],"In":[116],"addition,":[117],"shallow":[119],"upsampled":[122,165],"via":[123],"transposed":[124],"convolution":[125],"layer":[126],"transferred":[129],"final":[132],"for":[135,194],"reconstruction,":[136],"called":[139],"global":[140,148],"residual":[141,149,171],"learning":[142,150,172],"feature":[144],"domain.":[145],"Similarly,":[146],"pixel":[152],"learns":[154],"difference":[156],"between":[157],"ground":[160],"truth":[161],"coarsely":[164],"map.":[167],"Also,":[168],"local":[170],"maintain":[175],"low":[177],"frequency":[178],"within":[179],"progressively":[184],"recover":[185],"high":[187],"frequency.":[188],"The":[189],"method":[191],"tested":[193],"noise-free":[195],"noisy":[197],"cases":[198],"compares":[200],"against":[201],"16":[202],"state-of-the-art":[203],"methods.":[204],"Our":[205],"experimental":[206],"results":[207],"show":[208],"improved":[210],"performances":[211],"qualitative":[215],"quantitative":[217],"evaluations.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
