{"id":"https://openalex.org/W4387682313","doi":"https://doi.org/10.1109/tai.2023.3324624","title":"Video-Based Depth Estimation Autoencoder With Weighted Temporal Feature and Spatial Edge Guided Modules","display_name":"Video-Based Depth Estimation Autoencoder With Weighted Temporal Feature and Spatial Edge Guided Modules","publication_year":2023,"publication_date":"2023-10-16","ids":{"openalex":"https://openalex.org/W4387682313","doi":"https://doi.org/10.1109/tai.2023.3324624"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3324624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3324624","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","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/A5101623795","display_name":"Wei\u2010Jong Yang","orcid":"https://orcid.org/0000-0002-4738-4617"},"institutions":[{"id":"https://openalex.org/I65446980","display_name":"National Chin-Yi University of Technology","ror":"https://ror.org/040bs6h16","country_code":"TW","type":"education","lineage":["https://openalex.org/I65446980"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Jong Yang","raw_affiliation_strings":["Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of Technology, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Computer Engineering, National Chin-Yi University of Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I65446980"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082846296","display_name":"Wan-Nung Tsung","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wan-Nung Tsung","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048480773","display_name":"Pau\u2010Choo Chung","orcid":"https://orcid.org/0000-0002-8660-570X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pau-Choo Chung","raw_affiliation_strings":["Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101623795"],"corresponding_institution_ids":["https://openalex.org/I65446980"],"apc_list":null,"apc_paid":null,"fwci":0.1204,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42547599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"5","issue":"2","first_page":"613","last_page":"623"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8708596229553223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798658609390259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7235351800918579},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6452168226242065},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5545786023139954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5533202886581421},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5356786847114563},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5266225934028625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49813008308410645},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47641241550445557},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4704125225543976},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45628413558006287},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4449383020401001},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4415700137615204},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4187886118888855},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.30382341146469116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13634899258613586}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8708596229553223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798658609390259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7235351800918579},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6452168226242065},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5545786023139954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5533202886581421},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5356786847114563},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5266225934028625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49813008308410645},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47641241550445557},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4704125225543976},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45628413558006287},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4449383020401001},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4415700137615204},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4187886118888855},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30382341146469116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13634899258613586},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3324624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3324624","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1772650917","https://openalex.org/W1901129140","https://openalex.org/W1925417509","https://openalex.org/W1967702609","https://openalex.org/W2010292477","https://openalex.org/W2122538988","https://openalex.org/W2124907686","https://openalex.org/W2125416623","https://openalex.org/W2132074199","https://openalex.org/W2133665775","https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2326638477","https://openalex.org/W2412782625","https://openalex.org/W2436453945","https://openalex.org/W2520707372","https://openalex.org/W2547489168","https://openalex.org/W2559178909","https://openalex.org/W2561074213","https://openalex.org/W2562637781","https://openalex.org/W2597483214","https://openalex.org/W2609883120","https://openalex.org/W2749895778","https://openalex.org/W2787091153","https://openalex.org/W2798414551","https://openalex.org/W2803168974","https://openalex.org/W2806282362","https://openalex.org/W2901507200","https://openalex.org/W2948978827","https://openalex.org/W2951413051","https://openalex.org/W2963091558","https://openalex.org/W2963231581","https://openalex.org/W2963285578","https://openalex.org/W2963488291","https://openalex.org/W2963583471","https://openalex.org/W2963619659","https://openalex.org/W2968273951","https://openalex.org/W2971221568","https://openalex.org/W2980531092","https://openalex.org/W2990887746","https://openalex.org/W2991726437","https://openalex.org/W3084253478","https://openalex.org/W3118635606","https://openalex.org/W3207449824","https://openalex.org/W4226191818","https://openalex.org/W4226207209","https://openalex.org/W4285803579","https://openalex.org/W4297051394","https://openalex.org/W4300479382","https://openalex.org/W4312685069","https://openalex.org/W6638039622","https://openalex.org/W6685261749","https://openalex.org/W6685562342","https://openalex.org/W6685777803","https://openalex.org/W6697365864","https://openalex.org/W6811234694"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W2909431601"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"networks":[2],"with":[3,110,171],"encoder":[4,94],"and":[5,21,37,57,95],"decoder":[6],"structures,":[7],"generally":[8],"referred":[9],"to":[10,75],"as":[11],"autoencoders,":[12,43],"are":[13,45],"used":[14],"in":[15,64,92,103,120,176],"many":[16],"pixelwise":[17],"transformation,":[18],"detection,":[19,34],"segmentation,":[20,36],"estimation":[22,70,81,147,165],"applications,":[23],"for":[24,30],"example,":[25],"which":[26,44],"can":[27],"be":[28],"applied":[29],"face":[31],"swapping,":[32],"lane":[33],"semantic":[35],"depth":[38,69,80,146,164],"estimation,":[39],"respectively.":[40],"However,":[41],"traditional":[42],"based":[46],"on":[47],"single-frame":[48],"inputs,":[49],"ignore":[50],"the":[51,77,83,93,104,117,124,132,136,139,142,145,156,168,177],"temporal":[52,88,118],"consistency":[53],"between":[54],"consecutive":[55,121],"frames,":[56,122],"may,":[58],"hence,":[59],"produce":[60],"unsatisfactory":[61],"results.":[62],"Accordingly,":[63],"this":[65],"article,":[66],"a":[67,96,161,173],"video-based":[68],"(VDE)":[71],"autoencoder":[72,159],"is":[73,148],"proposed":[74,140,157],"improve":[76],"quality":[78],"of":[79,85,131,138,144],"through":[82],"inclusion":[84],"two":[86],"weighted":[87,112],"feature":[89],"(WTF)":[90],"modules":[91,108],"single":[97],"spatial":[98,128],"edge":[99,129],"guided":[100],"(SEG)":[101],"module":[102,126],"decoder.":[105],"The":[106,151],"WTF":[107],"designed":[109],"channel":[111],"block":[113],"submodule":[114],"effectively":[115],"extract":[116],"similarities":[119],"whereas":[123],"SEG":[125],"provides":[127],"guidance":[130],"object":[133],"contours.":[134],"Through":[135],"collaboration":[137],"modules,":[141],"accuracy":[143],"greatly":[149],"improved.":[150],"experimental":[152],"results":[153],"confirm":[154],"that":[155],"VDE":[158],"achieves":[160],"better":[162],"monocular":[163],"performance":[166],"than":[167],"existing":[169],"autoencoders":[170],"only":[172],"slight":[174],"increase":[175],"computational":[178],"cost.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
