{"id":"https://openalex.org/W4408305002","doi":"https://doi.org/10.1109/lsp.2025.3550278","title":"MMA: Video Reconstruction for Spike Camera Based on Multiscale Temporal Modeling and Fine-Grained Attention","display_name":"MMA: Video Reconstruction for Spike Camera Based on Multiscale Temporal Modeling and Fine-Grained Attention","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408305002","doi":"https://doi.org/10.1109/lsp.2025.3550278"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3550278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3550278","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5116578089","display_name":"Dilmurat Alim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dilmurat Alim","raw_affiliation_strings":["School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103285587","display_name":"Chen Yang","orcid":"https://orcid.org/0009-0000-4052-3795"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010557705","display_name":"Laiyun Qing","orcid":"https://orcid.org/0000-0001-9923-5034"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiyun Qing","raw_affiliation_strings":["School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775216","display_name":"Guorong Li","orcid":"https://orcid.org/0000-0003-3954-2387"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guorong Li","raw_affiliation_strings":["School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116578089"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03038767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1291","last_page":"1295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9854000210762024,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9854000210762024,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9556999802589417,"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/spike","display_name":"Spike (software development)","score":0.7121480703353882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7105113863945007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60970139503479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6024609208106995},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4476383328437805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3898293972015381},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3455403745174408}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7121480703353882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7105113863945007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60970139503479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6024609208106995},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4476383328437805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3898293972015381},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3455403745174408},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3550278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3550278","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G4199693610","display_name":null,"funder_award_id":"62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7801426869","display_name":null,"funder_award_id":"61931008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8752815154","display_name":null,"funder_award_id":"62272438","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2016574277","https://openalex.org/W2156260483","https://openalex.org/W2612342510","https://openalex.org/W2945944624","https://openalex.org/W2953823547","https://openalex.org/W2964554711","https://openalex.org/W3091703563","https://openalex.org/W3116496135","https://openalex.org/W3173799069","https://openalex.org/W3195504409","https://openalex.org/W3204512785","https://openalex.org/W4220742826","https://openalex.org/W4224267514","https://openalex.org/W4304099129","https://openalex.org/W4385245566","https://openalex.org/W4386453635","https://openalex.org/W4387969099","https://openalex.org/W4399881018","https://openalex.org/W4401725555","https://openalex.org/W6631190155","https://openalex.org/W6792155083","https://openalex.org/W6800329793","https://openalex.org/W6810653034","https://openalex.org/W6840238037","https://openalex.org/W6853901617","https://openalex.org/W6859298233","https://openalex.org/W6859452828","https://openalex.org/W6863184741","https://openalex.org/W6868789466","https://openalex.org/W6871817689"],"related_works":["https://openalex.org/W2174331923","https://openalex.org/W2050175337","https://openalex.org/W2329992713","https://openalex.org/W3050304047","https://openalex.org/W2317338006","https://openalex.org/W2385487847","https://openalex.org/W2062974934","https://openalex.org/W2385476654","https://openalex.org/W2904960904","https://openalex.org/W2348832753"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,21,25,57,61,64,81,97,106,111,135,145,148,157],"Multiscale":[4,113],"Temporal":[5,114],"Correlation":[6,115],"Learning":[7,116],"with":[8,38],"the":[9,120,180],"Mamba-Fused":[10],"Attention":[11,137],"Model":[12],"(MMA),":[13],"an":[14,102],"efficient":[15],"and":[16,147,161,192],"effective":[17],"method":[18,169],"for":[19,33,48,63,126,140,151],"reconstructing":[20],"video":[22,82,128],"clip":[23],"from":[24],"spike":[26,43,66],"stream.":[27],"Spike":[28],"cameras":[29],"offer":[30],"unique":[31],"advantages":[32],"capturing":[34],"rapid":[35],"scene":[36],"changes":[37],"high":[39],"temporal":[40,124],"resolution.":[41],"A":[42],"stream":[44],"contains":[45],"sufficient":[46],"information":[47],"multiple":[49],"image":[50,59,103,172,188],"reconstructions.":[51],"However,":[52],"existing":[53],"methods":[54,186],"generate":[55],"only":[56],"single":[58],"at":[60,79,105,122,165],"time":[62],"given":[65],"stream,":[67],"which":[68],"results":[69,177],"in":[70,187],"excessive":[71],"redundant":[72],"computations":[73],"between":[74],"consecutive":[75],"frames":[76],"when":[77],"aiming":[78],"restoring":[80],"clip,":[83],"thereby":[84],"increasing":[85],"computational":[86],"costs":[87],"significantly.":[88],"The":[89,175],"proposed":[90,181],"MMA":[91,182],"addresses":[92],"such":[93],"challenges":[94],"by":[95],"constructing":[96],"spike-to-video":[98],"model,":[99],"directly":[100],"producing":[101],"sequence":[104],"time.":[107],"Specifically,":[108],"we":[109,133],"propose":[110],"U-shaped":[112,159],"(MTCL)":[117],"to":[118],"fuse":[119],"features":[121,153],"different":[123],"resolutions":[125],"clear":[127],"reconstruction.":[129],"At":[130],"each":[131,166],"scale,":[132],"introduce":[134],"Fine-Grained":[136],"(FGA)":[138],"module":[139,150],"fine-spatial":[141],"context":[142],"modeling":[143],"within":[144],"patch":[146],"Mamba":[149],"integrating":[152],"across":[154],"patches.":[155],"Adopting":[156],"lightweight":[158],"structure":[160],"fine-grained":[162],"feature":[163],"extraction":[164],"level,":[167],"our":[168],"reconstructs":[170],"high-quality":[171],"sequences":[173],"quickly.":[174],"experimental":[176],"show":[178],"that":[179],"surpasses":[183],"current":[184],"state-of-the-art":[185],"quality,":[189],"computation":[190],"cost,":[191],"model":[193],"size.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
