{"id":"https://openalex.org/W4393941080","doi":"https://doi.org/10.1007/s11063-024-11594-0","title":"Hierarchical Patch Aggregation Transformer for Motion Deblurring","display_name":"Hierarchical Patch Aggregation Transformer for Motion Deblurring","publication_year":2024,"publication_date":"2024-04-04","ids":{"openalex":"https://openalex.org/W4393941080","doi":"https://doi.org/10.1007/s11063-024-11594-0"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-024-11594-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11594-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11594-0.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11594-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075753445","display_name":"Yujie Wu","orcid":"https://orcid.org/0000-0002-7797-110X"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Wu","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802505932","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802505932"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Liang","raw_affiliation_strings":["Low Speed Aerodynamics Institute, Low Speed Aerodynamics Institute, China Aerodynamics Research and Development Center, South section of the Second Ring Road, Mianyang, 621000, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Low Speed Aerodynamics Institute, Low Speed Aerodynamics Institute, China Aerodynamics Research and Development Center, South section of the Second Ring Road, Mianyang, 621000, Sichuan, China","institution_ids":["https://openalex.org/I2802505932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113127798","display_name":"Siyao Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyao Ling","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089240137","display_name":"Zhisheng Gao","orcid":"https://orcid.org/0000-0002-0470-8861"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Gao","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, Street, Chengdu, 610039, Sichuan, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802505932"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.1643,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38704281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"56","issue":"2","first_page":null,"last_page":null},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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":0.9872000217437744,"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/deblurring","display_name":"Deblurring","score":0.8737618923187256},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4669657051563263},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4442306458950043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.421789288520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3643704056739807},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12290740013122559},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.11350804567337036},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0999910831451416},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.08708089590072632},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06423559784889221}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.8737618923187256},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4669657051563263},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4442306458950043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.421789288520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3643704056739807},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12290740013122559},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.11350804567337036},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0999910831451416},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.08708089590072632},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06423559784889221},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-024-11594-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11594-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11594-0.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-024-11594-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-024-11594-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11063-024-11594-0.pdf","source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3945155895","display_name":null,"funder_award_id":"2022YFG0095","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393941080.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1457323852","https://openalex.org/W1849277567","https://openalex.org/W2048695508","https://openalex.org/W2050849575","https://openalex.org/W2056370875","https://openalex.org/W2100556411","https://openalex.org/W2103559027","https://openalex.org/W2117865218","https://openalex.org/W2118456997","https://openalex.org/W2133665775","https://openalex.org/W2167307343","https://openalex.org/W2468652750","https://openalex.org/W2560533888","https://openalex.org/W2884068670","https://openalex.org/W2942855565","https://openalex.org/W2963312584","https://openalex.org/W2964030969","https://openalex.org/W2965217508","https://openalex.org/W2976842945","https://openalex.org/W2982795046","https://openalex.org/W2988641380","https://openalex.org/W3024283674","https://openalex.org/W3034789174","https://openalex.org/W3035484352","https://openalex.org/W3085824656","https://openalex.org/W3097065222","https://openalex.org/W3106758205","https://openalex.org/W3107405705","https://openalex.org/W3118666404","https://openalex.org/W3136416617","https://openalex.org/W3138516171","https://openalex.org/W3170697543","https://openalex.org/W3171125843","https://openalex.org/W3175908748","https://openalex.org/W3176096490","https://openalex.org/W3202040256","https://openalex.org/W3202566931","https://openalex.org/W3207918547","https://openalex.org/W3210966637","https://openalex.org/W4214493665","https://openalex.org/W4221155341","https://openalex.org/W4225672218","https://openalex.org/W4280522061","https://openalex.org/W4286611318","https://openalex.org/W4311747015","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4312908055","https://openalex.org/W4312938066","https://openalex.org/W4317520092","https://openalex.org/W4319068883","https://openalex.org/W4323046671","https://openalex.org/W6600195515","https://openalex.org/W6603963165"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3200192952","https://openalex.org/W4308216825","https://openalex.org/W4312281738","https://openalex.org/W2062923025","https://openalex.org/W3009226622","https://openalex.org/W3015323103","https://openalex.org/W2786875726","https://openalex.org/W4226194415","https://openalex.org/W4287817146"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"encoder-decoder":[2,55,133],"framework":[3],"based":[4],"on":[5,36,167],"Transformer":[6,72,86,129],"components":[7],"has":[8],"become":[9],"a":[10,67],"paradigm":[11],"in":[12,60,131,181],"the":[13,41,48,54,78,104,109,124,128,132,137,145,174],"field":[14],"of":[15,53,127],"image":[16,182],"deblurring":[17,183],"architecture":[18,73],"design.":[19],"In":[20,77],"this":[21,26],"paper,":[22],"we":[23,122],"critically":[24],"revisit":[25],"approach":[27],"and":[28,51,91,114,135,149,160],"find":[29],"that":[30,173],"many":[31],"current":[32],"architectures":[33],"severely":[34],"focus":[35],"limited":[37],"local":[38,151],"regions":[39],"during":[40],"feature":[42,49,80],"extraction":[43,81],"stage.":[44],"These":[45,101],"designs":[46],"compromise":[47],"richness":[50],"diversity":[52],"framework,":[56],"leading":[57],"to":[58,106,147],"bottlenecks":[59],"performance":[61,163,180],"improvement.":[62],"To":[63],"address":[64],"these":[65],"deficiencies,":[66],"novel":[68],"Hierarchical":[69],"Patch":[70],"Aggregation":[71],"(HPAT)":[74],"is":[75,92],"proposed.":[76],"initial":[79],"stage,":[82],"HPAT":[83,156,176],"combines":[84],"Axis-Selective":[85],"Blocks":[87],"with":[88,164],"linear":[89],"complexity":[90],"supplemented":[93],"by":[94],"an":[95],"adaptive":[96],"hierarchical":[97,119],"attention":[98],"fusion":[99],"mechanism.":[100],"mechanisms":[102],"enable":[103],"model":[105,177],"effectively":[107],"capture":[108,148],"spatial":[110],"relationships":[111],"between":[112],"features":[113,116],"integrate":[115],"from":[117],"different":[118],"levels.":[120],"Then,":[121],"redesign":[123],"feedforward":[125],"network":[126],"block":[130],"structure":[134],"propose":[136],"Fused":[138],"Feedforward":[139],"Network.":[140],"This":[141],"effective":[142],"aggregation":[143],"enhances":[144],"ability":[146],"retain":[150],"detailed":[152],"features.":[153],"We":[154],"evaluate":[155],"through":[157],"extensive":[158],"experiments":[159],"compare":[161],"its":[162],"baseline":[165],"methods":[166],"public":[168],"datasets.":[169],"Experimental":[170],"results":[171],"show":[172],"proposed":[175],"achieves":[178],"state-of-the-art":[179],"tasks.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
