{"id":"https://openalex.org/W4408897003","doi":"https://doi.org/10.1109/icmlc63072.2024.10935041","title":"Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer","display_name":"Towards Hard and Soft Shadow Removal via Dual-Branch Separation Network and Vision Transformer","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4408897003","doi":"https://doi.org/10.1109/icmlc63072.2024.10935041"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc63072.2024.10935041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5034024323","display_name":"Jiajia Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Liang","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385134","display_name":"Bowen Zhang","orcid":"https://orcid.org/0000-0002-2911-9422"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Zhang","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102000816","display_name":"Jingwen Deng","orcid":"https://orcid.org/0000-0002-5314-8071"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Deng","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031854980","display_name":"Patrick P. K. Chan","orcid":"https://orcid.org/0000-0001-7774-580X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Patrick P. K. Chan","raw_affiliation_strings":["Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shien-Ming Wu School of Intelligent Engineering, South China University of Technology,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9904000163078308,"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":0.9904000163078308,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9754999876022339,"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/dual","display_name":"Dual (grammatical number)","score":0.5780969858169556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5609688758850098},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5158128142356873},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.4600744843482971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43411922454833984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4174475073814392},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16239726543426514},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.16082125902175903},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.0879184901714325},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.0805121660232544}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5780969858169556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5609688758850098},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5158128142356873},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.4600744843482971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43411922454833984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4174475073814392},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16239726543426514},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.16082125902175903},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0879184901714325},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0805121660232544},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc63072.2024.10935041","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc63072.2024.10935041","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1432573875","https://openalex.org/W1967913888","https://openalex.org/W2144730066","https://openalex.org/W2740832349","https://openalex.org/W2923942255","https://openalex.org/W2963014378","https://openalex.org/W2967345019","https://openalex.org/W2991524597","https://openalex.org/W2997085666","https://openalex.org/W2998154526","https://openalex.org/W3108948338","https://openalex.org/W3174094339","https://openalex.org/W3176932505","https://openalex.org/W3202215329","https://openalex.org/W4210793107","https://openalex.org/W4283815594","https://openalex.org/W4312862560","https://openalex.org/W4386789711","https://openalex.org/W4387969800"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Shadow":[0],"removal":[1],"is":[2],"an":[3,111],"important":[4],"task":[5],"in":[6,11,39],"computer":[7],"vision,":[8],"as":[9],"shadows":[10,67],"real-world":[12],"scenes":[13],"affect":[14],"image":[15],"color":[16],"and":[17,21,35,65,101],"brightness,":[18],"making":[19],"perception":[20],"texture":[22],"recognition":[23],"more":[24],"challenging.":[25],"Many":[26],"existing":[27],"methods":[28],"may":[29],"not":[30],"adequately":[31],"distinguish":[32],"between":[33],"hard":[34,64],"soft":[36,66],"shadows,":[37],"resulting":[38],"a":[40,56,76,91],"lack":[41],"of":[42,63,113],"targeted":[43],"processing":[44,62],"for":[45],"each":[46,82],"type.":[47],"To":[48],"order":[49],"to":[50,80],"tackle":[51],"this":[52],"problem,":[53],"we":[54],"propose":[55],"dual-path":[57],"model":[58,74,109],"that":[59],"separates":[60],"the":[61,86,105],"using":[68],"specifically":[69],"designed":[70],"loss":[71],"functions.":[72],"The":[73],"includes":[75],"shadow":[77,83],"classification":[78],"module":[79],"guide":[81],"type":[84],"through":[85],"appropriate":[87],"path.":[88],"By":[89],"integrating":[90],"Vision":[92],"Transformer":[93],"with":[94],"UNet++,":[95],"our":[96,108],"approach":[97],"improves":[98],"edge":[99],"detail":[100],"feature":[102],"fusion.":[103],"On":[104],"ISTD":[106],"dataset,":[107],"achieves":[110],"RMSE":[112],"2.905,":[114],"outperforming":[115],"state-of-the-art":[116],"single-path":[117],"methods.":[118]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}