{"id":"https://openalex.org/W4408354494","doi":"https://doi.org/10.1109/icassp49660.2025.10887656","title":"First-order State Space Model for Lightweight Image Super-resolution","display_name":"First-order State Space Model for Lightweight Image Super-resolution","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408354494","doi":"https://doi.org/10.1109/icassp49660.2025.10887656"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10887656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887656","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.08458","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008749085","display_name":"Yujie Zhu","orcid":"https://orcid.org/0000-0002-1414-2590"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhu","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050552297","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0009-0002-7168-7973"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008158408","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0002-8624-3673"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yekai Lu","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032001329","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0001-8942-427X"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044588347","display_name":"Faming Fang","orcid":"https://orcid.org/0000-0003-4511-4813"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faming Fang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.6285349726676941},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5179409384727478},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5042403936386108},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4832090139389038},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46619123220443726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44614213705062866},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4140552282333374},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4110187590122223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3657345175743103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31960874795913696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.186181902885437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285349726676941},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5179409384727478},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5042403936386108},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4832090139389038},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46619123220443726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44614213705062866},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4140552282333374},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4110187590122223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3657345175743103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31960874795913696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.186181902885437},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49660.2025.10887656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10887656","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"},{"id":"pmh:oai:arXiv.org:2509.08458","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.08458","pdf_url":"https://arxiv.org/pdf/2509.08458","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.08458","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.08458","pdf_url":"https://arxiv.org/pdf/2509.08458","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":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.75,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2192954843","https://openalex.org/W2242218935","https://openalex.org/W2741137940","https://openalex.org/W2952773607","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2976718572","https://openalex.org/W3104028135","https://openalex.org/W3138516171","https://openalex.org/W3207918547","https://openalex.org/W4313442864","https://openalex.org/W4386071559","https://openalex.org/W4386075553","https://openalex.org/W4386083034","https://openalex.org/W4390872521","https://openalex.org/W4402952320","https://openalex.org/W4403760842","https://openalex.org/W4406261728","https://openalex.org/W6782420349","https://openalex.org/W6785306386","https://openalex.org/W6803444062","https://openalex.org/W6841205203","https://openalex.org/W6859298233","https://openalex.org/W6860720708","https://openalex.org/W6860915106","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6861420153","https://openalex.org/W6861742303"],"related_works":["https://openalex.org/W3214346900","https://openalex.org/W2362774332","https://openalex.org/W2356099978","https://openalex.org/W2038905316","https://openalex.org/W2543593945","https://openalex.org/W2025681766","https://openalex.org/W3202709773","https://openalex.org/W2004181336","https://openalex.org/W2386178493","https://openalex.org/W2331972596"],"abstract_inverted_index":{"State":[0,74],"space":[1],"models":[2,23],"(SSMs),":[3],"particularly":[4],"Mamba,":[5],"have":[6],"shown":[7],"promise":[8],"in":[9,96],"NLP":[10],"tasks":[11],"and":[12,28,103,129],"are":[13],"increasingly":[14],"applied":[15],"to":[16,34,40,59,78],"vision":[17,22],"tasks.":[18,66],"However,":[19],"most":[20],"Mamba-based":[21],"focus":[24],"on":[25,63,118],"network":[26],"architecture":[27],"scan":[29],"paths,":[30],"with":[31],"little":[32],"attention":[33],"the":[35,42,48,55,61,72,80,99,114,125],"SSM":[36,52],"module.":[37],"In":[38,67],"order":[39],"explore":[41],"potential":[43],"of":[44,51,57,116,127],"SSMs,":[45,97],"we":[46,70],"modified":[47],"calculation":[49],"process":[50],"without":[53,122],"increasing":[54,124],"number":[56,126],"parameters":[58],"improve":[60,79],"performance":[62,85,115],"lightweight":[64,132],"super-resolution":[65],"this":[68],"paper,":[69],"introduce":[71],"First-order":[73],"Space":[75],"Model":[76],"(FSSM)":[77],"original":[81],"Mamba":[82],"module,":[83],"enhancing":[84],"by":[86],"incorporating":[87],"token":[88],"correlations.":[89],"We":[90],"apply":[91],"a":[92],"first-order":[93],"hold":[94],"condition":[95],"derive":[98],"new":[100],"discretized":[101],"form,":[102],"analyzed":[104],"cumulative":[105],"error.":[106],"Extensive":[107],"experimental":[108],"results":[109],"demonstrate":[110],"that":[111],"FSSM":[112],"improves":[113],"MambaIR":[117],"five":[119],"benchmark":[120],"datasets":[121],"additionally":[123],"parameters,":[128],"surpasses":[130],"current":[131],"SR":[133],"methods,":[134],"achieving":[135],"state-of-the-art":[136],"results.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}