{"id":"https://openalex.org/W4404477648","doi":"https://doi.org/10.1145/3687488.3687540","title":"U-shaped multilevel feature fusion super-resolution network","display_name":"U-shaped multilevel feature fusion super-resolution network","publication_year":2024,"publication_date":"2024-06-21","ids":{"openalex":"https://openalex.org/W4404477648","doi":"https://doi.org/10.1145/3687488.3687540"},"language":"en","primary_location":{"id":"doi:10.1145/3687488.3687540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687488.3687540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Control and Intelligent Robotics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109152394","display_name":"Silu Yang","orcid":"https://orcid.org/0000-0002-3583-2902"},"institutions":[{"id":"https://openalex.org/I4210134419","display_name":"Neusoft (China)","ror":"https://ror.org/02zc84r97","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134419"]},{"id":"https://openalex.org/I4400573292","display_name":"Chengdu Neusoft University","ror":"https://ror.org/04p9p1r69","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silu Yang","raw_affiliation_strings":["Chengdu Neusoft University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3583-2902","affiliations":[{"raw_affiliation_string":"Chengdu Neusoft University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4210134419","https://openalex.org/I4400573292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115602541","display_name":"Dong Li","orcid":"https://orcid.org/0000-0001-7095-2259"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Li","raw_affiliation_strings":["Sichuan Judicial and Police Officers Professional College, Deyang, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7095-2259","affiliations":[{"raw_affiliation_string":"Sichuan Judicial and Police Officers Professional College, Deyang, Sichuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980999827384949,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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/feature","display_name":"Feature (linguistics)","score":0.6771194338798523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002070903778076},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.49639636278152466},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.45581477880477905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42907002568244934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3964211344718933}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6771194338798523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002070903778076},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.49639636278152466},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45581477880477905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42907002568244934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3964211344718933},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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":1,"locations":[{"id":"doi:10.1145/3687488.3687540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3687488.3687540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 4th International Conference on Control and Intelligent Robotics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2752782242","https://openalex.org/W2780544323","https://openalex.org/W2901534369","https://openalex.org/W2963372104","https://openalex.org/W2963729050","https://openalex.org/W3034552520","https://openalex.org/W3043692043","https://openalex.org/W4281674575","https://openalex.org/W4285810239","https://openalex.org/W4295129468","https://openalex.org/W4367181092","https://openalex.org/W4387415232"],"related_works":["https://openalex.org/W1517180214","https://openalex.org/W3147584709","https://openalex.org/W2082780921","https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2025517136","https://openalex.org/W2977677679","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,56,104,120],"recent":[1],"years,":[2],"image":[3,28,49,88,128],"super-resolution":[4,15,71],"based":[5],"on":[6,155],"deep":[7],"learning":[8,39],"has":[9],"received":[10],"widespread":[11],"attention.":[12],"However,":[13],"many":[14,31],"networks":[16,32],"ignore":[17],"the":[18,27,44,48,51,61,83,99,124,138,144],"contribution":[19],"of":[20,23,37,47,77,101],"different":[21,75],"levels":[22,76],"feature":[24,69,79],"information":[25,80],"in":[26,40,82,111,137],"reconstruction,":[29,129],"and":[30,90,151],"cause":[33],"a":[34,66,93,106,130],"large":[35],"number":[36],"parameter":[38],"order":[41,112,121],"to":[42,86,97,113,122],"improve":[43],"reconstruction":[45,139],"quality":[46,153],"making":[50],"network":[52,108,125,146],"model":[53],"very":[54],"complex.":[55],"this":[57],"paper,":[58],"we":[59],"address":[60],"above":[62],"problems":[63],"by":[64],"designing":[65],"U-shaped":[67,84],"multilevel":[68],"fusion":[70],"network,":[72],"which":[73],"utilizes":[74],"channel":[78],"generated":[81],"structure":[85,96,133],"reconstruct":[87],"features,":[89],"also":[91,135],"uses":[92],"novel":[94],"projection":[95],"enhance":[98],"expression":[100],"differential":[102],"features.":[103],"addition":[105],"lightweight":[107],"is":[109,134],"designed":[110,136,145],"be":[114],"embedded":[115],"into":[116],"realistic":[117],"small":[118],"devices.":[119],"make":[123],"efficient":[126],"for":[127],"multi-scale":[131],"up-sampling":[132],"module.":[140],"Experiments":[141],"show":[142],"that":[143],"achieves":[147],"good":[148],"metric":[149],"values":[150],"high":[152],"visualization":[154],"popular":[156],"datasets.":[157]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}