{"id":"https://openalex.org/W4408353718","doi":"https://doi.org/10.1109/icassp49660.2025.10888418","title":"MINR: Efficient Implicit Neural Representations for Multi-Image Encoding","display_name":"MINR: Efficient Implicit Neural Representations for Multi-Image Encoding","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353718","doi":"https://doi.org/10.1109/icassp49660.2025.10888418"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5042227692","display_name":"Wenyong Zhou","orcid":"https://orcid.org/0000-0001-7507-4002"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenyong Zhou","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074532565","display_name":"Taiqiang Wu","orcid":"https://orcid.org/0000-0002-3664-3513"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Taiqiang Wu","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009887780","display_name":"Zhengwu Liu","orcid":"https://orcid.org/0000-0001-7968-9469"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhengwu Liu","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008691","display_name":"Yuxin Cheng","orcid":"https://orcid.org/0000-0002-6494-0101"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxin Cheng","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374169","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0003-1864-312X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042227692"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.3856,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7887681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9941999912261963,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.739234447479248},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7232672572135925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5687339305877686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5104457139968872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4589882791042328},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3901193141937256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.320550799369812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.739234447479248},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7232672572135925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5687339305877686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5104457139968872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4589882791042328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3901193141937256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.320550799369812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888418","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888418","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W3109585842","https://openalex.org/W3176327543","https://openalex.org/W3215434375","https://openalex.org/W4287756134","https://openalex.org/W4312233582","https://openalex.org/W4312796583","https://openalex.org/W4386066651","https://openalex.org/W4386076276","https://openalex.org/W4387210992","https://openalex.org/W4390874245","https://openalex.org/W4393153059","https://openalex.org/W4402703005","https://openalex.org/W4402727237","https://openalex.org/W6780179280","https://openalex.org/W6791346067","https://openalex.org/W6846141923","https://openalex.org/W6850224944","https://openalex.org/W6867074328","https://openalex.org/W6867750380"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W2898682874","https://openalex.org/W2386709048","https://openalex.org/W2391251536"],"abstract_inverted_index":{"Implicit":[0],"Neural":[1],"Representations":[2],"(INRs)":[3],"aim":[4],"to":[5,28,46,104,123,134],"parameterize":[6],"discrete":[7],"signals":[8],"through":[9],"implicit":[10],"continuous":[11],"functions.":[12],"However,":[13],"formulating":[14],"each":[15,102],"image":[16,103,112],"with":[17],"a":[18,23],"separate":[19],"neural":[20],"network":[21],"(typically,":[22],"Multi-Layer":[24],"Perceptron":[25],"(MLP))":[26],"leads":[27],"computational":[29],"and":[30,61,87,114],"storage":[31],"inefficiencies":[32],"when":[33],"encoding":[34],"multi-images.":[35],"To":[36],"address":[37],"this":[38],"issue,":[39],"we":[40,75,94],"propose":[41],"MINR,":[42],"sharing":[43],"specific":[44],"layers":[45,66,79,89],"encode":[47],"multi-image":[48],"efficiently.":[49],"We":[50],"first":[51],"compare":[52],"the":[53,85,154,157],"layer-wise":[54],"weight":[55],"distributions":[56],"for":[57,101],"several":[58],"trained":[59],"INRs":[60],"find":[62],"that":[63,118],"corresponding":[64],"intermediate":[65,78],"follow":[67],"highly":[68],"similar":[69],"distribution":[70],"patterns.":[71],"Motivated":[72],"by":[73],"this,":[74],"share":[76],"these":[77],"across":[80],"multiple":[81],"images":[82],"while":[83,126],"preserving":[84],"input":[86],"output":[88],"as":[90],"input-specific.":[91],"In":[92],"addition,":[93],"design":[95],"an":[96,139],"extra":[97],"novel":[98],"projection":[99],"layer":[100],"capture":[105],"its":[106],"unique":[107],"features.":[108],"Experimental":[109],"results":[110],"on":[111],"reconstruction":[113],"super-resolution":[115],"tasks":[116],"demonstrate":[117],"MINR":[119,131],"can":[120],"save":[121],"up":[122],"60%":[124],"parameters":[125],"maintaining":[127,138],"comparable":[128],"performance.":[129],"Particularly,":[130],"scales":[132],"effectively":[133],"handle":[135],"100":[136],"images,":[137],"average":[140],"peak":[141],"signal-to-noise":[142],"ratio":[143],"(PSNR)":[144],"of":[145,150,156],"34":[146],"dB.":[147],"Further":[148],"analysis":[149],"various":[151],"backbones":[152],"proves":[153],"robustness":[155],"proposed":[158],"MINR.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
