{"id":"https://openalex.org/W4416798820","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249115","title":"Flow-Guided Consistent Video Depth Estimation for Cross-Dataset Generalization","display_name":"Flow-Guided Consistent Video Depth Estimation for Cross-Dataset Generalization","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W4416798820","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249115"},"language":null,"primary_location":{"id":"doi:10.1109/apsipaasc65261.2025.11249115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-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/A5113247793","display_name":"Jaeseok Jang","orcid":"https://orcid.org/0009-0007-8173-8881"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaeseok Jang","raw_affiliation_strings":["Korea University,Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101834476","display_name":"Chang\u2010Su Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Su Kim","raw_affiliation_strings":["Korea University,Korea"],"affiliations":[{"raw_affiliation_string":"Korea University,Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5113247793"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37452392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2270","last_page":"2275"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9279999732971191,"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":0.9279999732971191,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.017000000923871994,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.01119999960064888,"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/generalization","display_name":"Generalization","score":0.5993000268936157},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5712000131607056},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5361999869346619},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5045999884605408},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4672999978065491},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45089998841285706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4189000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013999819755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6341999769210815},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5993000268936157},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5712000131607056},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5361999869346619},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5045999884605408},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4945000112056732},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4672999978065491},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2517000138759613},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc65261.2025.11249115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7817180349","display_name":null,"funder_award_id":"RS-2024-00397293,RS-2022NR068986","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1513100184","https://openalex.org/W2300779272","https://openalex.org/W2955639361","https://openalex.org/W2963316641","https://openalex.org/W2982014906","https://openalex.org/W2982336692","https://openalex.org/W3034604951","https://openalex.org/W3048510980","https://openalex.org/W3132270109","https://openalex.org/W3170263653","https://openalex.org/W3174211490","https://openalex.org/W3174541782","https://openalex.org/W3185394819","https://openalex.org/W3205244824","https://openalex.org/W3208147236","https://openalex.org/W3215023725","https://openalex.org/W4200495456","https://openalex.org/W4214520160","https://openalex.org/W4289550868","https://openalex.org/W4386075553","https://openalex.org/W4386076206","https://openalex.org/W4386230985","https://openalex.org/W4390872949","https://openalex.org/W4390873091","https://openalex.org/W4402727359","https://openalex.org/W4403210635"],"related_works":[],"abstract_inverted_index":{"Consistent":[0],"video":[1,54,80],"depth":[2,9,81,114],"estimation":[3],"aims":[4],"to":[5,18,31,53,56,94],"predict":[6],"temporally":[7],"consistent":[8,79],"maps":[10],"for":[11],"videos.":[12],"Various":[13],"techniques":[14,28,110],"have":[15],"been":[16],"developed":[17],"utilize":[19],"temporal":[20,58,117],"correlations":[21],"between":[22],"frames;":[23],"however,":[24],"most":[25],"of":[26,45,113],"these":[27],"generalize":[29],"poorly":[30],"unconstrained":[32],"scenes.":[33],"Some":[34],"recent":[35],"methods":[36,49],"based":[37],"on":[38],"testtime":[39],"training":[40],"require":[41],"an":[42],"impractical":[43],"amount":[44],"inference":[46],"time.":[47],"Other":[48],"apply":[50],"attention":[51],"mechanisms":[52],"features":[55],"accomplish":[57],"consistency,":[59],"but":[60],"they":[61],"do":[62],"not":[63],"consider":[64],"scene":[65,96],"variations":[66],"across":[67],"frames.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"propose":[73],"a":[74,86],"novel":[75],"algorithm":[76,107],"called":[77],"flow-guided":[78],"estimator":[82],"(FCVD),":[83],"in":[84,111],"which":[85],"spatial":[87],"feature":[88],"alignment":[89],"process":[90],"leverages":[91],"optical":[92],"flow":[93],"modulate":[95],"variations.":[97],"Zero-shot":[98],"cross-dataset":[99],"evaluation":[100],"results":[101],"demonstrate":[102],"that":[103],"the":[104],"proposed":[105],"FCVD":[106],"outperforms":[108],"existing":[109],"terms":[112],"accuracy":[115],"and":[116],"consistency.":[118]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}