{"id":"https://openalex.org/W3034355957","doi":"https://doi.org/10.1109/icmew46912.2020.9105986","title":"Semi-Blind Super-Resolution with Kernel-Guided Feature Modification","display_name":"Semi-Blind Super-Resolution with Kernel-Guided Feature Modification","publication_year":2020,"publication_date":"2020-06-09","ids":{"openalex":"https://openalex.org/W3034355957","doi":"https://doi.org/10.1109/icmew46912.2020.9105986","mag":"3034355957"},"language":"en","primary_location":{"id":"doi:10.1109/icmew46912.2020.9105986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew46912.2020.9105986","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 &amp; Expo Workshops (ICMEW)","raw_type":"proceedings-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/A5007452427","display_name":"Gongping Li","orcid":"https://orcid.org/0000-0002-2060-1749"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gongping Li","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101882873","display_name":"Yao Lu","orcid":"https://orcid.org/0000-0002-2962-5886"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Lu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101742754","display_name":"Lihua Lu","orcid":"https://orcid.org/0000-0003-4328-8465"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Lu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101794936","display_name":"Ziwei Wu","orcid":"https://orcid.org/0000-0003-3999-4367"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwei Wu","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086752635","display_name":"Xuebo Wang","orcid":"https://orcid.org/0000-0001-5552-1581"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebo Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006776719","display_name":"Shunzhou Wang","orcid":"https://orcid.org/0000-0001-5401-043X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunzhou Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007452427"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48200242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","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":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/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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9897000193595886,"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/kernel","display_name":"Kernel (algebra)","score":0.8858921527862549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653693318367004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276572942733765},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.6080935001373291},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5291072726249695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4847092628479004},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.48085886240005493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4534499943256378},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4329512417316437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41937437653541565},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.4134422540664673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41229674220085144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2877461314201355},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.22800976037979126},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0585077702999115}],"concepts":[{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.8858921527862549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653693318367004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276572942733765},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.6080935001373291},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5291072726249695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4847092628479004},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.48085886240005493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4534499943256378},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4329512417316437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41937437653541565},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.4134422540664673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41229674220085144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2877461314201355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.22800976037979126},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0585077702999115},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew46912.2020.9105986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew46912.2020.9105986","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 &amp; Expo Workshops (ICMEW)","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":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W1983781364","https://openalex.org/W2054515210","https://openalex.org/W2091118421","https://openalex.org/W2121927366","https://openalex.org/W2476548250","https://openalex.org/W2604763608","https://openalex.org/W2739757502","https://openalex.org/W2741137940","https://openalex.org/W2883102461","https://openalex.org/W2884569173","https://openalex.org/W2962814024","https://openalex.org/W2962903125","https://openalex.org/W2963031226","https://openalex.org/W2963200935","https://openalex.org/W2963704386","https://openalex.org/W2963814095","https://openalex.org/W2964101377","https://openalex.org/W2964121744","https://openalex.org/W2964277374","https://openalex.org/W2984618279","https://openalex.org/W4377561911","https://openalex.org/W6631190155","https://openalex.org/W6638194035","https://openalex.org/W6640320771","https://openalex.org/W6662276203","https://openalex.org/W6664139381","https://openalex.org/W6736057607","https://openalex.org/W6747384309","https://openalex.org/W6749094794","https://openalex.org/W6752881969","https://openalex.org/W6754458313"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W1603091392","https://openalex.org/W2095626363","https://openalex.org/W4389428786","https://openalex.org/W2364439724","https://openalex.org/W2079825755","https://openalex.org/W4389251307","https://openalex.org/W2420851703","https://openalex.org/W2974741803","https://openalex.org/W2089892314"],"abstract_inverted_index":{"Non-blind":[0],"single":[1],"image":[2,88,121],"super-resolution(SISR)":[3],"methods":[4,18],"have":[5],"demonstrated":[6],"their":[7],"high":[8],"efficiency":[9],"and":[10,78,134],"effectiveness":[11],"on":[12,32,132],"synthesized":[13,133],"images.":[14,34],"However,":[15],"these":[16],"non-blind":[17],"assume":[19],"that":[20,138],"the":[21,30,48,61,65,76,80,87,93,98,102,108,113,116,120,124,127,139,146],"blur":[22,49,62,110],"kernel":[23,50,63,71],"is":[24,51,97,105],"predefined":[25],"or":[26],"hand-crafted,":[27],"which":[28,96],"degrades":[29],"performances":[31],"real-world":[33,38,135],"To":[35],"deal":[36],"with":[37,68,107,123],"images,":[39],"we":[40,74],"propose":[41],"a":[42,56,69],"semi-blind":[43],"super-resolution":[44],"(SR)":[45],"method":[46,141],"where":[47],"unknown.":[52],"We":[53],"first":[54],"design":[55,79],"Kernel":[57],"Predictor(KP)":[58],"to":[59,85],"predict":[60],"from":[64],"input":[66],"images":[67,136],"well-designed":[70],"set.":[72],"Then":[73],"follow":[75],"meta-learning":[77],"Meta":[81],"Feature":[82],"Modification(MFM)":[83],"module":[84],"modify":[86],"features.":[89],"The":[90],"weight":[91],"of":[92,101,126],"modification":[94,117],"layer,":[95],"core":[99],"component":[100],"MFM":[103],"module,":[104],"generated":[106,114],"predicted":[109,128],"kernel.":[111,129],"With":[112],"weight,":[115],"layer":[118],"modifies":[119],"features":[122],"guidance":[125],"Extensive":[130],"experiments":[131],"show":[137],"proposed":[140],"achieves":[142],"superior":[143],"performance":[144],"in":[145],"blind":[147],"SR":[148],"problem.":[149]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
