{"id":"https://openalex.org/W4384648646","doi":"https://doi.org/10.48550/arxiv.2307.08695","title":"NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation","display_name":"NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation","publication_year":2023,"publication_date":"2023-07-17","ids":{"openalex":"https://openalex.org/W4384648646","doi":"https://doi.org/10.48550/arxiv.2307.08695"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2307.08695","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08695","pdf_url":"https://arxiv.org/pdf/2307.08695","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.08695","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100367887","display_name":"Yiran Wang","orcid":"https://orcid.org/0009-0004-4228-7182"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Yiran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665240","display_name":"Min Shi","orcid":"https://orcid.org/0000-0001-8209-9021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Min","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325987","display_name":"Jiaqi Li","orcid":"https://orcid.org/0009-0004-7799-3407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiaqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hong, Chaoyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Chaoyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002285179","display_name":"Zihao Huang","orcid":"https://orcid.org/0000-0002-8804-191X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zihao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Peng, Juewen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Juewen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036358447","display_name":"Zhiguo Cao","orcid":"https://orcid.org/0000-0002-9223-1863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Zhiguo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036510129","display_name":"Jianming Zhang","orcid":"https://orcid.org/0000-0002-9954-6294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jianming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041554011","display_name":"Ke Xian","orcid":"https://orcid.org/0000-0002-0884-5126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xian, Ke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029912845","display_name":"Guosheng Lin","orcid":"https://orcid.org/0000-0002-0329-7458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Guosheng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100367887"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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":0.9961000084877014,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.995199978351593,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.760082483291626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7593836784362793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559902548789978},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48880454897880554},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.48254865407943726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.454854279756546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13901135325431824}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.760082483291626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7593836784362793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559902548789978},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48880454897880554},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.48254865407943726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.454854279756546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13901135325431824},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2307.08695","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08695","pdf_url":"https://arxiv.org/pdf/2307.08695","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2307.08695","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.08695","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2307.08695","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.08695","pdf_url":"https://arxiv.org/pdf/2307.08695","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","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":{"Video":[0,72],"depth":[1,45,57,94,190],"estimation":[2],"aims":[3],"to":[4,12,33,103,121,146],"infer":[5],"temporally":[6],"consistent":[7],"depth.":[8],"One":[9],"approach":[10],"is":[11,31,101,129],"finetune":[13],"a":[14,64,70,97,115,181],"single-image":[15,61],"model":[16,116],"on":[17,131],"each":[18],"video":[19,44,93,147,189],"with":[20,83],"geometry":[21],"constraints,":[22],"which":[23,38,79],"proves":[24],"inefficient":[25],"and":[26,42,110,134,150,160,175,184,193],"lacks":[27],"robustness.":[28],"An":[29],"alternative":[30],"learning":[32],"enforce":[34],"consistency":[35,105],"from":[36,119],"data,":[37],"requires":[39],"well-designed":[40],"models":[41,62],"sufficient":[43],"data.":[46],"To":[47,138],"address":[48],"both":[49],"challenges,":[50],"we":[51,143],"introduce":[52],"NVDS+":[53,145],"that":[54,166],"stabilizes":[55],"inconsistent":[56],"estimated":[58],"by":[59,106],"various":[60],"in":[63,74,172],"plug-and-play":[65],"manner.":[66],"We":[67,113],"also":[68],"elaborate":[69],"large-scale":[71],"Depth":[73],"the":[75,90,141],"Wild":[76],"(VDW)":[77],"dataset,":[78],"contains":[80],"14,203":[81],"videos":[82],"over":[84],"two":[85],"million":[86],"frames,":[87],"making":[88],"it":[89],"largest":[91],"natural-scene":[92],"dataset.":[95],"Additionally,":[96],"bidirectional":[98],"inference":[99],"strategy":[100],"designed":[102],"improve":[104],"adaptively":[107],"fusing":[108],"forward":[109],"backward":[111],"predictions.":[112],"instantiate":[114],"family":[117],"ranging":[118],"small":[120],"large":[122],"scales":[123],"for":[124,187],"different":[125],"applications.":[126],"The":[127],"method":[128,168],"evaluated":[130],"VDW":[132],"dataset":[133,194],"three":[135],"public":[136],"benchmarks.":[137],"further":[139],"prove":[140],"versatility,":[142],"extend":[144],"semantic":[148],"segmentation":[149],"several":[151],"downstream":[152],"applications":[153],"like":[154],"bokeh":[155],"rendering,":[156],"novel":[157],"view":[158],"synthesis,":[159],"3D":[161],"reconstruction.":[162],"Experimental":[163],"results":[164],"show":[165],"our":[167],"achieves":[169],"significant":[170],"improvements":[171],"consistency,":[173],"accuracy,":[174],"efficiency.":[176],"Our":[177],"work":[178],"serves":[179],"as":[180],"solid":[182],"baseline":[183],"data":[185],"foundation":[186],"learning-based":[188],"estimation.":[191],"Code":[192],"are":[195],"available":[196],"at:":[197],"https://github.com/RaymondWang987/NVDS":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2023-07-19T00:00:00"}
