{"id":"https://openalex.org/W3089136067","doi":"https://doi.org/10.1109/tcsvt.2020.3024687","title":"CasQNet: Intrinsic Image Decomposition Based on Cascaded Quotient Network","display_name":"CasQNet: Intrinsic Image Decomposition Based on Cascaded Quotient Network","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3089136067","doi":"https://doi.org/10.1109/tcsvt.2020.3024687","mag":"3089136067"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2020.3024687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3024687","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/A5104955672","display_name":"Yupeng Ma","orcid":"https://orcid.org/0009-0005-7010-4272"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Ma","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051764820","display_name":"Zetao Jiang","orcid":"https://orcid.org/0000-0002-0914-2131"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyue Jiang","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410445","display_name":"Zhaoqiang Xia","orcid":"https://orcid.org/0000-0003-0630-3339"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoqiang Xia","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-0630-3339","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007583477","display_name":"Moncef Gabbouj","orcid":"https://orcid.org/0000-0002-9788-2323"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Moncef Gabbouj","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101536090","display_name":"Xiaoyi Feng","orcid":"https://orcid.org/0000-0002-0428-6224"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Feng","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-0428-6224","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9789,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78558663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"7","first_page":"2661","last_page":"2674"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.5822674632072449},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5271586775779724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5139779448509216},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4699815809726715},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4677583873271942},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4348078966140747},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.42159414291381836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3540816307067871}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5822674632072449},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5271586775779724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5139779448509216},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4699815809726715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4677583873271942},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4348078966140747},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42159414291381836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3540816307067871},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2020.3024687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2020.3024687","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1947455727","display_name":null,"funder_award_id":"61502388","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5791791258","display_name":null,"funder_award_id":"61702419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W8437397","https://openalex.org/W1513100184","https://openalex.org/W1513440577","https://openalex.org/W1576148925","https://openalex.org/W1849277567","https://openalex.org/W1901129140","https://openalex.org/W1934235358","https://openalex.org/W1982762150","https://openalex.org/W2027560260","https://openalex.org/W2076205488","https://openalex.org/W2076491823","https://openalex.org/W2082232962","https://openalex.org/W2087257250","https://openalex.org/W2091247382","https://openalex.org/W2101856619","https://openalex.org/W2104166077","https://openalex.org/W2113404166","https://openalex.org/W2116233832","https://openalex.org/W2116919352","https://openalex.org/W2123785012","https://openalex.org/W2123941108","https://openalex.org/W2133665775","https://openalex.org/W2136748901","https://openalex.org/W2146721395","https://openalex.org/W2154423567","https://openalex.org/W2157070558","https://openalex.org/W2164847484","https://openalex.org/W2176412452","https://openalex.org/W2190691619","https://openalex.org/W2193045528","https://openalex.org/W2194775991","https://openalex.org/W2199820243","https://openalex.org/W2221366145","https://openalex.org/W2520164769","https://openalex.org/W2567309586","https://openalex.org/W2583983165","https://openalex.org/W2767247242","https://openalex.org/W2780018032","https://openalex.org/W2794766838","https://openalex.org/W2798282242","https://openalex.org/W2798966709","https://openalex.org/W2888277922","https://openalex.org/W2895013824","https://openalex.org/W2897392422","https://openalex.org/W2910832120","https://openalex.org/W2963285578","https://openalex.org/W2963395931","https://openalex.org/W2963587818","https://openalex.org/W2963644875","https://openalex.org/W2964030969","https://openalex.org/W2964040059","https://openalex.org/W2964046669","https://openalex.org/W2964267765","https://openalex.org/W2964606879","https://openalex.org/W2985810937","https://openalex.org/W3004814282","https://openalex.org/W3046257495","https://openalex.org/W3080756971","https://openalex.org/W3099762460","https://openalex.org/W4214948749","https://openalex.org/W4394671432","https://openalex.org/W6600324250","https://openalex.org/W6630676078","https://openalex.org/W6630726011","https://openalex.org/W6639204139","https://openalex.org/W6675838932","https://openalex.org/W6685562342","https://openalex.org/W6687484953","https://openalex.org/W6726381175","https://openalex.org/W6745930153","https://openalex.org/W6754396579","https://openalex.org/W6755794794"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W1496225612","https://openalex.org/W2765338038","https://openalex.org/W4386191828","https://openalex.org/W2357322570","https://openalex.org/W1598401975","https://openalex.org/W2365681766","https://openalex.org/W2331105319","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Intrinsic":[0,274],"image":[1,8,25,42,45,58,75,78,123,140,172,175,187],"analysis":[2,26],"plays":[3],"an":[4,28],"important":[5],"role":[6],"for":[7,37,56,84,121,202,251],"understanding,":[9],"since":[10],"it":[11],"can":[12,61,88],"provide":[13],"accurate":[14],"reflectance,":[15],"shape":[16],"and":[17,43,76,143,173,212,224,229,248,272,278],"illumination":[18],"information":[19],"of":[20,40,128,184,193,215,243],"the":[21,38,69,90,100,138,151,166,177,182,199,210,220,253,286,291],"scene.":[22],"However,":[23,93],"intrinsic":[24,57,64,122],"is":[27,79,96,188,206],"ill-posed":[29],"problem":[30],"which":[31,60,163,197,241],"need":[32],"to":[33,105,208,290],"apply":[34],"extra":[35],"constrains":[36],"decomposition":[39,85,91],"reflectance":[41,74,139,171,186],"shading":[44,77,174],"from":[46],"a":[47,82,111,131,144,160,191],"single":[48],"image.":[49],"Recently":[50],"deep":[51,113],"neural":[52],"networks":[53],"are":[54,157,226,263],"introduced":[55],"analysis,":[59],"produce":[62],"two":[63,129,155],"components":[65],"simultaneously.":[66],"In":[67,103,180],"fact,":[68],"mutually":[70,167],"exclusive":[71,168],"relationship":[72,95,169],"between":[73,170],"not":[80],"only":[81],"constraint":[83],"but":[86],"also":[87],"improve":[89],"results.":[92],"this":[94,107],"always":[97],"omitted":[98],"in":[99,141,176,232],"current":[101],"networks.":[102],"order":[104],"address":[106,209],"problem,":[108],"we":[109,236],"propose":[110],"novel":[112],"network":[114,178],"called":[115],"as":[116],"Cascaded":[117],"Quotient":[118],"Network":[119,147],"(CasQNet)":[120],"decomposition.":[124],"The":[125],"CasQNet":[126],"consists":[127],"sub-networks:":[130],"Pyramid":[132],"Mini-U-Net":[133],"(PyNet)":[134],"that":[135,149,282],"specifically":[136],"extracts":[137],"multi-scale":[142,195],"Shading":[145],"Optimization":[146],"(SoNet)":[148],"optimizes":[150],"resulting":[152],"shading.":[153],"These":[154],"sub-networks":[156],"cascaded":[158,233],"by":[159,190,219],"quotient":[161,221],"operation,":[162],"directly":[164],"enforces":[165],"architecture.":[179],"PyNet,":[181],"task":[183,201],"reconstructing":[185],"achieved":[189],"series":[192],"nested":[194],"U-Nets,":[196],"simplified":[198],"learning":[200,254],"each":[203],"U-Net.":[204],"SoNet":[205,225],"designed":[207],"unsmooth":[211],"blur":[213],"problems":[214],"extreme":[216],"points":[217],"caused":[218],"operation.":[222],"PyNet":[223],"trained":[227],"alternately":[228],"finally":[230],"jointed":[231],"structure.":[234],"Furthermore,":[235],"combine":[237],"multiple":[238],"loss":[239,247],"functions,":[240],"consist":[242],"data":[244],"loss,":[245,250],"correlation":[246],"reconstruction":[249],"improving":[252],"effectiveness.":[255],"To":[256],"evaluate":[257],"our":[258,283],"proposed":[259],"algorithm,":[260],"extensive":[261],"experiments":[262],"performed":[264],"on":[265],"three":[266],"datasets,":[267],"i.e.,":[268],"ShapeNet,":[269],"BOLD":[270],"Surface":[271],"MIT":[273],"Image":[275],"datasets.":[276],"Qualitative":[277],"quantitative":[279],"results":[280],"show":[281],"model":[284],"achieves":[285],"best":[287],"performance":[288],"compared":[289],"state-of-the-art":[292],"methods.":[293]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}