{"id":"https://openalex.org/W3034349456","doi":"https://doi.org/10.1109/icme46284.2020.9102946","title":"Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network","display_name":"Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034349456","doi":"https://doi.org/10.1109/icme46284.2020.9102946","mag":"3034349456"},"language":"en","primary_location":{"id":"doi:10.1109/icme46284.2020.9102946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10100829/1/YiyunChen-ICME2020.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000785769","display_name":"Yiyun Chen","orcid":"https://orcid.org/0000-0002-7442-3239"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Yiyun Chen","raw_affiliation_strings":["Department of Computer Science, University College London, UK","Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100615547","display_name":"Yihong Chen","orcid":"https://orcid.org/0000-0002-3416-5482"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yihong Chen","raw_affiliation_strings":["Department of Computer Science, University College London, UK","Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University College London, UK","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079361172","display_name":"Jing\u2010Hao Xue","orcid":"https://orcid.org/0000-0003-1174-610X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing-Hao Xue","raw_affiliation_strings":["Department of Statistical Science, University College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009239895","display_name":"Qingmin Liao","orcid":"https://orcid.org/0000-0002-7509-3964"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingmin Liao","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000785769"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I45129253","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.3925,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61348676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.834874153137207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7610216736793518},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6150273084640503},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5432083010673523},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5178885459899902},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4993305206298828},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4719350039958954},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.4554838538169861},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43996328115463257},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43388494849205017},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43183010816574097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39599722623825073},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3289366364479065},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3232532739639282},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24035438895225525},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07806900143623352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.834874153137207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7610216736793518},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6150273084640503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5432083010673523},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5178885459899902},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4993305206298828},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4719350039958954},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.4554838538169861},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43996328115463257},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43388494849205017},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43183010816574097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39599722623825073},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3289366364479065},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3232532739639282},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24035438895225525},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07806900143623352},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme46284.2020.9102946","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme46284.2020.9102946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10100829","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10100829/","pdf_url":"https://discovery.ucl.ac.uk/10100829/1/YiyunChen-ICME2020.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of 2020 IEEE International Conference on Multimedia and Expo (ICME).    IEEE: London, UK. (2020)     ","raw_type":"Proceedings paper"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10100829","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10100829/","pdf_url":"https://discovery.ucl.ac.uk/10100829/1/YiyunChen-ICME2020.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of 2020 IEEE International Conference on Multimedia and Expo (ICME).    IEEE: London, UK. (2020)     ","raw_type":"Proceedings paper"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3034349456.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2024165284","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2133665775","https://openalex.org/W2183341477","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2739757502","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2887695188","https://openalex.org/W2895598217","https://openalex.org/W2908513290","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963645458","https://openalex.org/W2963986095","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2981420411","https://openalex.org/W3099091830","https://openalex.org/W3124561108","https://openalex.org/W6602211262","https://openalex.org/W6638194035","https://openalex.org/W6640320771","https://openalex.org/W6749061506","https://openalex.org/W6753074096","https://openalex.org/W6755102754"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W4390494008","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2073639911","https://openalex.org/W2106540031"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"great":[4],"success":[5],"of":[6,20,41,76,97,135],"applying":[7],"deep":[8],"convolutional":[9],"neural":[10],"networks":[11],"(CNNs)":[12],"to":[13,104],"single":[14],"image":[15],"super-resolution":[16],"(SISR).":[17],"However,":[18],"most":[19],"these":[21],"algorithms":[22],"focus":[23],"on":[24],"increasing":[25],"modeling":[26],"capability":[27],"through":[28],"developing":[29],"deeper":[30],"and":[31,51,87,127,137],"wider":[32],"networks,":[33],"improving":[34],"the":[35,101,111,116,133,145],"performance":[36,146],"but":[37],"at":[38,45,153],"a":[39,46,94],"cost":[40],"huge":[42],"computation.":[43],"Targeting":[44],"better":[47],"trade-off":[48],"between":[49],"efficiency":[50],"effectiveness,":[52],"we":[53],"propose":[54],"ESASN,":[55],"an":[56],"efficient":[57,69,83],"second-order":[58,70,88],"attention":[59,71,89],"spindle":[60,72],"network":[61],"for":[62,142],"lightweight":[63],"SISR.":[64],"ESASN":[65],"is":[66,151],"built":[67],"upon":[68],"(ESAS)":[73],"blocks,":[74],"each":[75],"which":[77],"contains":[78],"two":[79],"well-designed":[80],"new":[81],"modules,":[82],"multi-scale":[84,102,112],"(EMS)":[85],"module":[86],"(SOA)":[90],"module.":[91],"EMS":[92,136],"reduces":[93],"considerable":[95],"number":[96],"parameters":[98],"while":[99],"retaining":[100],"structure":[103],"explore":[105],"rich":[106],"features.":[107],"SOA":[108,138],"further":[109],"rescales":[110],"feature":[113],"maps,":[114],"capturing":[115],"inter-dependencies":[117],"among":[118],"channels":[119],"pixel-wisely":[120],"with":[121,147],"little":[122],"additional":[123],"cost.":[124],"Both":[125],"qualitative":[126],"quantitative":[128],"experimental":[129],"results":[130],"demonstrate":[131],"that":[132],"combination":[134],"works":[139],"out":[140],"favorably":[141],"SISR,":[143],"lifting":[144],"fewer":[148],"parameters.":[149],"Code":[150],"available":[152],"https://github.com/yiyunchen/ESASN.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
