{"id":"https://openalex.org/W4410949713","doi":"https://doi.org/10.1109/tcsvt.2025.3575475","title":"Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery","display_name":"Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4410949713","doi":"https://doi.org/10.1109/tcsvt.2025.3575475"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3575475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3575475","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/A5113283201","display_name":"Ting-Wei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Wei Zhou","raw_affiliation_strings":["School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-2960-476X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Le Zhao","raw_affiliation_strings":["School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-6540-946X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036060230","display_name":"Wei-Hao Wu","orcid":"https://orcid.org/0000-0002-4774-7908"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Hao Wu","raw_affiliation_strings":["School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-4774-7908","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences and Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]},{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378988","display_name":"Jian-Li Wang","orcid":"https://orcid.org/0000-0003-4774-4894"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Li Wang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-4774-4894","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037421955","display_name":"Yisi Luo","orcid":"https://orcid.org/0000-0001-9295-4896"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Si Luo","raw_affiliation_strings":["School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-9295-4896","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90651847,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"11","first_page":"10862","last_page":"10874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.98089998960495,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.98089998960495,"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":0.7039141058921814},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5041264295578003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45124077796936035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42834150791168213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3629661202430725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039141058921814},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5041264295578003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45124077796936035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42834150791168213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3629661202430725},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3575475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3575475","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1018619536","display_name":null,"funder_award_id":"124B2029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1120739749","display_name":null,"funder_award_id":"2023ZYD0007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1314670859","display_name":null,"funder_award_id":"2024NSFSC0038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5760308629","display_name":null,"funder_award_id":"2024NSFJQ0038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6863986931","display_name":null,"funder_award_id":"62131005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7969624079","display_name":null,"funder_award_id":"12371456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2020399841","https://openalex.org/W2100109944","https://openalex.org/W2300657047","https://openalex.org/W2914483840","https://openalex.org/W2918050465","https://openalex.org/W2962849139","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2981657250","https://openalex.org/W3034968345","https://openalex.org/W3035507572","https://openalex.org/W3035515538","https://openalex.org/W3043139608","https://openalex.org/W3109585842","https://openalex.org/W3136952737","https://openalex.org/W3184957317","https://openalex.org/W3199706488","https://openalex.org/W3200346087","https://openalex.org/W3215434375","https://openalex.org/W4221151978","https://openalex.org/W4312493191","https://openalex.org/W4316193140","https://openalex.org/W4386065618","https://openalex.org/W4386066651","https://openalex.org/W4386076276","https://openalex.org/W4386952144","https://openalex.org/W4389633737","https://openalex.org/W4393153059","https://openalex.org/W4393158343","https://openalex.org/W4399618239","https://openalex.org/W4400117429","https://openalex.org/W4402703005","https://openalex.org/W4402703013","https://openalex.org/W4402770328","https://openalex.org/W4402816953"],"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/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Implicit":[0],"neural":[1,60],"representation":[2,9,61],"(INR)":[3],"has":[4],"emerged":[5],"as":[6],"a":[7,56,65,92,101,126],"powerful":[8],"for":[10,183],"data":[11,23],"(e.g.,":[12,187],"multispectral":[13,163],"images":[14],"and":[15,48,68,85,116,134,167,189],"videos).":[16],"Previously,":[17],"most":[18],"INR":[19,180],"methods":[20],"directly":[21],"represent":[22,136],"in":[24,35,64,100],"the":[25,36,105,113,117,121,137,142,153,173,178],"original":[26,37,154],"space.":[27,140,155],"However,":[28],"since":[29],"different":[30,87,97,145],"frequency":[31,45,70,77,88,98,114,122,130,139,146],"components":[32,46,99,147,186],"are":[33,148],"mixed":[34],"space,":[38],"it":[39],"is":[40],"difficult":[41],"to":[42,82,91,132,152],"capture":[43],"these":[44],"simultaneously":[47],"accurately.":[49],"To":[50],"alleviate":[51],"this":[52],"limitation,":[53],"we":[54,124],"suggest":[55],"new":[57,127],"frequency-aware":[58],"implicit":[59],"(FA-INR)":[62],"working":[63],"physically":[66],"interpretable":[67],"learnable":[69],"space":[71],"by":[72],"cleverly":[73],"introducing":[74],"an":[75],"extra":[76],"dimension,":[78],"which":[79],"allows":[80],"us":[81],"readily":[83],"decouple":[84],"modulate":[86],"components,":[89],"leading":[90],"more":[93],"accurate":[94],"characterization":[95],"of":[96,108],"divide-and-conquer":[102],"manner.":[103],"Specifically,":[104],"FA-INR":[106,175],"consists":[107],"two":[109],"important":[110],"modules,":[111],"i.e.,":[112],"module":[115],"integration":[118,143],"module.":[119],"In":[120,141],"module,":[123,144],"propose":[125],"low-rank":[128],"tensor":[129],"function":[131],"compactly":[133],"continuously":[135],"latent":[138],"adaptively":[149],"integrated":[150],"back":[151],"Extensive":[156],"experiments":[157],"on":[158],"various":[159],"multi-dimensional":[160],"data,":[161,170],"including":[162],"images,":[164],"color":[165],"videos,":[166],"light":[168],"field":[169],"demonstrate":[171],"that":[172],"proposed":[174],"significantly":[176],"outperforms":[177],"state-of-the-art":[179],"methods,":[181],"especially":[182],"characterizing":[184],"high-frequency":[185],"textures":[188],"edges).":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}