{"id":"https://openalex.org/W4409346371","doi":"https://doi.org/10.1609/aaai.v39i3.32336","title":"MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance","display_name":"MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409346371","doi":"https://doi.org/10.1609/aaai.v39i3.32336"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v39i3.32336","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i3.32336","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v39i3.32336","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101508306","display_name":"Jialong Guo","orcid":"https://orcid.org/0000-0002-7556-5386"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Guo","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349838","display_name":"Ke Liu","orcid":"https://orcid.org/0000-0002-0505-920X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Liu","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102922412","display_name":"Jiangchao Yao","orcid":"https://orcid.org/0000-0001-6115-5194"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangchao Yao","raw_affiliation_strings":["Shanghai Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhihua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wang","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047118636","display_name":"Haishuai Wang","orcid":"https://orcid.org/0000-0003-1617-0920"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishuai Wang","raw_affiliation_strings":["Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.0252,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96265617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"39","issue":"3","first_page":"3257","last_page":"3265"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9650999903678894,"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":0.9650999903678894,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.949999988079071,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.4480488896369934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4304879903793335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4480488896369934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4304879903793335}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v39i3.32336","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i3.32336","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v39i3.32336","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v39i3.32336","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"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/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Neural":[0,105],"Representations":[1,106],"for":[2,15,107,114,118,139,217],"Videos":[3],"(NeRV)":[4],"has":[5],"emerged":[6],"as":[7,21,27,43,134],"a":[8,37,47,63,74,78,89,111,123,135,172],"promising":[9],"implicit":[10],"neural":[11,22],"representation":[12,117,163],"(INR)":[13],"approach":[14],"video":[16,45,79,100,153,218,221],"analysis,":[17],"which":[18,132],"represents":[19],"videos":[20],"networks":[23],"with":[24,171,188],"frame":[25],"indexes":[26],"inputs.":[28],"However,":[29],"NeRV-based":[30,58],"methods":[31,59],"are":[32],"time-consuming":[33],"when":[34],"adapting":[35,140],"to":[36,51,126,141,160,176],"large":[38],"number":[39,198],"of":[40,73,82,84,99,152,165,199,215],"diverse":[41],"videos,":[42],"each":[44],"requires":[46],"separate":[48],"NeRV":[49,116],"model":[50],"be":[52],"trained":[53],"from":[54,70,180],"scratch.":[55],"In":[56],"addition,":[57],"spatially":[60],"require":[61],"generating":[62],"high-dimension":[64],"signal":[65],"(i.e.,":[66],"an":[67,128,189],"entire":[68],"image)":[69],"the":[71,97,146,162,168,178,185,197,203,213],"input":[72],"low-dimension":[75],"timestamp,":[76],"and":[77,149,184,220],"typically":[80],"consists":[81],"tens":[83],"frames":[85,201],"temporally":[86],"that":[87],"have":[88],"minor":[90],"change":[91],"between":[92],"adjacent":[93],"frames.":[94],"To":[95,144],"improve":[96,161],"efficiency":[98],"representation,":[101],"we":[102,155],"propose":[103],"Meta":[104],"Videos,":[108],"named":[109],"MetaNeRV,":[110],"novel":[112],"framework":[113,125],"fast":[115],"unseen":[119],"videos.":[120,143],"MetaNeRV":[121,216],"leverages":[122],"meta-learning":[124,204],"learn":[127],"optimal":[129],"parameter":[130],"initialization,":[131],"serves":[133],"good":[136],"starting":[137],"point":[138],"new":[142],"address":[145],"unique":[147],"spatial":[148,169],"temporal":[150,186],"characteristics":[151],"modality,":[154],"further":[156],"introduce":[157],"spatial-temporal":[158],"guidance":[159,170,187],"capabilities":[164],"MetaNeRV.":[166],"Specifically,":[167],"multi-resolution":[173],"loss":[174],"aims":[175],"capture":[177],"information":[179],"different":[181],"resolution":[182],"stages,":[183],"effective":[190],"progressive":[191],"learning":[192],"strategy":[193],"could":[194],"gradually":[195],"refine":[196],"fitted":[200],"during":[202],"process.":[205],"Extensive":[206],"experiments":[207],"conducted":[208],"on":[209],"multiple":[210],"datasets":[211],"demonstrate":[212],"superiority":[214],"representations":[219],"compression.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
