{"id":"https://openalex.org/W4385937887","doi":"https://doi.org/10.1109/tcsvt.2023.3305978","title":"Unsupervised Light Field Depth Estimation via Multi-View Feature Matching With Occlusion Prediction","display_name":"Unsupervised Light Field Depth Estimation via Multi-View Feature Matching With Occlusion Prediction","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4385937887","doi":"https://doi.org/10.1109/tcsvt.2023.3305978"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3305978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3305978","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/A5045645936","display_name":"Shansi Zhang","orcid":"https://orcid.org/0000-0002-2441-7615"},"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":true,"raw_author_name":"Shansi Zhang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001473276","display_name":"Nan Meng","orcid":"https://orcid.org/0000-0003-2821-7474"},"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":"Nan Meng","raw_affiliation_strings":["Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China","Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008832723","display_name":"Edmund Y. Lam","orcid":"https://orcid.org/0000-0001-6268-950X"},"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":"Edmund Y. Lam","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong SAR, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045645936"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.5647,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85365886,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"4","first_page":"2261","last_page":"2273"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9952999949455261,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.994700014591217,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7880094051361084},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7231886386871338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6376345753669739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5721042156219482},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4722782075405121},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4436291456222534},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4379810094833374},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43195995688438416},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41878557205200195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33144256472587585},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07688874006271362}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7880094051361084},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7231886386871338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6376345753669739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5721042156219482},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4722782075405121},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4436291456222534},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4379810094833374},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43195995688438416},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41878557205200195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33144256472587585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07688874006271362},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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.2023.3305978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3305978","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:hub.hku.hk:10722/330491","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/330491","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"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":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2305877643","display_name":null,"funder_award_id":"GRF 17201822","funder_id":"https://openalex.org/F4320321592","funder_display_name":"Research Grants Council, University Grants Committee"}],"funders":[{"id":"https://openalex.org/F4320321592","display_name":"Research Grants Council, University Grants Committee","ror":"https://ror.org/00djwmt25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1914596733","https://openalex.org/W1924457599","https://openalex.org/W1992367866","https://openalex.org/W2007165614","https://openalex.org/W2042687553","https://openalex.org/W2289524987","https://openalex.org/W2341651707","https://openalex.org/W2342420672","https://openalex.org/W2345303319","https://openalex.org/W2428327932","https://openalex.org/W2430642417","https://openalex.org/W2520707372","https://openalex.org/W2549094858","https://openalex.org/W2551052086","https://openalex.org/W2591697814","https://openalex.org/W2630837129","https://openalex.org/W2744274622","https://openalex.org/W2751225115","https://openalex.org/W2752279250","https://openalex.org/W2778641202","https://openalex.org/W2794220116","https://openalex.org/W2897264375","https://openalex.org/W2949362021","https://openalex.org/W2963619659","https://openalex.org/W2964178790","https://openalex.org/W2978701653","https://openalex.org/W2978788458","https://openalex.org/W2990141044","https://openalex.org/W2998286311","https://openalex.org/W2998715827","https://openalex.org/W3090781762","https://openalex.org/W3100465609","https://openalex.org/W3136650610","https://openalex.org/W3165824405","https://openalex.org/W3172725906","https://openalex.org/W3176427461","https://openalex.org/W3189398023","https://openalex.org/W4226089407","https://openalex.org/W4281976364","https://openalex.org/W4285134614","https://openalex.org/W4292318942","https://openalex.org/W4312412419","https://openalex.org/W4312594468","https://openalex.org/W4312722796","https://openalex.org/W4385236771","https://openalex.org/W6680152570","https://openalex.org/W6704184719","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Depth":[0],"estimation":[1,58],"from":[2,50,69],"light":[3],"field":[4],"(LF)":[5],"images":[6,186],"is":[7,29],"a":[8,56,62,136],"fundamental":[9],"step":[10],"for":[11,36],"numerous":[12],"applications.":[13],"Recently,":[14],"learning-based":[15],"methods":[16],"have":[17],"achieved":[18],"higher":[19,156],"accuracy":[20],"and":[21,119,171,175,180],"efficiency":[22],"than":[23],"the":[24,81,88,101,108,116,121,125,142,151,169,183,189],"traditional":[25],"methods.":[26,191],"However,":[27],"it":[28],"costly":[30],"to":[31,47,65,79,99,114,149,188],"obtain":[32,150],"sufficient":[33],"depth":[34,49],"labels":[35],"supervised":[37],"training.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42,54,92,133],"propose":[43,135],"an":[44,94],"unsupervised":[45],"framework":[46],"estimate":[48],"LF":[51,173,185],"images.":[52],"First,":[53],"design":[55],"disparity":[57,67,122,126,137,153],"network":[59,97],"(DispNet)":[60],"with":[61,145,155],"coarse-to-fine":[63],"structure":[64],"predict":[66,100],"maps":[68,127],"different":[70],"view":[71],"combinations.":[72],"It":[73],"explicitly":[74],"performs":[75],"multi-view":[76],"feature":[77],"matching":[78],"learn":[80],"correspondences":[82],"effectively.":[83],"As":[84],"occlusions":[85],"may":[86],"cause":[87],"violation":[89],"of":[90,111],"photo-consistency,":[91],"introduce":[93],"occlusion":[95,102,117,147],"prediction":[96],"(OccNet)":[98],"maps,":[103],"which":[104],"are":[105],"used":[106],"as":[107],"element-wise":[109],"weights":[110],"photometric":[112],"loss":[113],"solve":[115],"issue":[118],"assist":[120],"learning.":[123],"With":[124],"estimated":[128,143],"by":[129],"multiple":[130],"input":[131],"combinations,":[132],"then":[134],"fusion":[138],"strategy":[139],"based":[140],"on":[141,167,182],"errors":[144],"effective":[146],"handling":[148],"final":[152],"map":[154],"accuracy.":[157],"Experimental":[158],"results":[159],"demonstrate":[160],"that":[161],"our":[162],"method":[163],"achieves":[164],"superior":[165],"performance":[166],"both":[168],"dense":[170],"sparse":[172],"images,":[174],"also":[176],"shows":[177],"better":[178],"robustness":[179],"generalization":[181],"real-world":[184],"compared":[187],"other":[190]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
