{"id":"https://openalex.org/W4416251605","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227348","title":"EndoDUM: Unsupervised Endoscopic Depth Estimation with Uncertainty Mask","display_name":"EndoDUM: Unsupervised Endoscopic Depth Estimation with Uncertainty Mask","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251605","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227348"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5039579687","display_name":"Ji Qi","orcid":"https://orcid.org/0000-0001-7597-9725"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Qi","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd,Suzhou,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018716856","display_name":"Xuanxuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanxuan Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Shenzhen,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678361","display_name":"Shuai Tang","orcid":"https://orcid.org/0000-0002-9584-2838"},"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":"Shuai Tang","raw_affiliation_strings":["South China University of Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102702934","display_name":"Yue Zhang","orcid":"https://orcid.org/0009-0000-9502-2920"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["University of Hong Kong,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hong Kong,Hong Kong,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026186204","display_name":"Minhao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minhao Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Shenzhen,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080093489","display_name":"Lixin Duan","orcid":"https://orcid.org/0000-0002-0723-4016"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Duan","raw_affiliation_strings":["University of Electronic Science and Technology of China,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Shenzhen,China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.8082000017166138,"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":0.8082000017166138,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.03290000185370445,"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":0.016100000590085983,"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/calibration","display_name":"Calibration","score":0.6531000137329102},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5665000081062317},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.49720001220703125},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4968999922275543},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4496999979019165},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4271000027656555},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4250999987125397}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7900000214576721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310000061988831},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6531000137329102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6068000197410583},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5665000081062317},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.49720001220703125},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4968999922275543},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4271000027656555},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26440000534057617},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2076205488","https://openalex.org/W2077251622","https://openalex.org/W2169447236","https://openalex.org/W2471962767","https://openalex.org/W2531409750","https://openalex.org/W2609883120","https://openalex.org/W2985775862","https://openalex.org/W2990394353","https://openalex.org/W2999925080","https://openalex.org/W3035434014","https://openalex.org/W3044812225","https://openalex.org/W3152803807","https://openalex.org/W3184350052","https://openalex.org/W4200072305","https://openalex.org/W4312249431","https://openalex.org/W4383109207","https://openalex.org/W4391102977","https://openalex.org/W4396909933","https://openalex.org/W4402727359","https://openalex.org/W4403062811","https://openalex.org/W4403062944"],"related_works":[],"abstract_inverted_index":{"Unsupervised":[0,46],"depth":[1,35,59,94,171],"estimation":[2,36,60,172],"plays":[3],"a":[4,83,97],"key":[5],"role":[6],"in":[7,38,66,75,170],"endoscopic":[8,13,67,76,115],"minimally":[9],"invasive":[10],"surgery.":[11],"However,":[12],"images":[14,77],"often":[15],"suffer":[16],"from":[17,96],"abnormal":[18,63,72,89],"lighting,":[19,119],"with":[20,50,88],"some":[21],"areas":[22],"being":[23],"overexposed":[24,126],"and":[25,81,136,160],"others":[26],"underexposed.":[27],"This":[28],"leads":[29],"to":[30,86],"poor":[31],"performance":[32],"of":[33],"current":[34],"methods":[37,169],"these":[39],"regions.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"propose":[45],"Endoscopic":[47],"Depth":[48],"Estimation":[49],"Uncertainty":[51],"Mask":[52],"(EndoDUM),":[53],"the":[54,71,113,132,158],"first":[55],"unsupervised":[56],"method":[57],"for":[58],"that":[61,143,164],"addresses":[62,70],"lighting":[64,73],"regions":[65,87,129],"images.":[68],"EndoDUM":[69,165],"problem":[74],"by":[78,117,148],"learning":[79],"illumination":[80,108,133],"applying":[82],"soft":[84],"mask":[85],"lighting.":[90],"Specifically,":[91],"it":[92],"estimates":[93],"information":[95],"single":[98],"RGB":[99],"image":[100,116],"accurately":[101],"through":[102],"three":[103,153],"novel":[104],"components:":[105],"1)":[106],"The":[107,121],"calibration":[109,134],"network,":[110],"which":[111,124],"calibrates":[112],"raw":[114],"estimating":[118],"2)":[120],"uncertainty":[122],"mask,":[123],"suppresses":[125],"or":[127],"underexposed":[128],"based":[130],"on":[131,157],"ratio,":[135],"3)":[137],"A":[138],"Three-Dimensional":[139],"dynamic":[140],"convolution":[141],"module":[142],"captures":[144],"local":[145],"fine-grained":[146],"features":[147],"leveraging":[149],"complementary":[150],"attention":[151],"across":[152],"dimensions.":[154],"Experimental":[155],"results":[156],"SCARED":[159],"Hamlyn":[161],"datasets":[162],"demonstrate":[163],"significantly":[166],"outperforms":[167],"existing":[168],"tasks,":[173],"achieving":[174],"state-of-the-art":[175],"(SOTA)":[176],"performance.":[177]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}