{"id":"https://openalex.org/W4385764576","doi":"https://doi.org/10.24963/ijcai.2023/87","title":"Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement","display_name":"Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385764576","doi":"https://doi.org/10.24963/ijcai.2023/87"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/87","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/87","pdf_url":"https://www.ijcai.org/proceedings/2023/0087.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0087.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101566239","display_name":"Hang Guo","orcid":"https://orcid.org/0000-0003-1746-2693"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hang Guo","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023762528","display_name":"Tao Dai","orcid":"https://orcid.org/0000-0003-0594-6404"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Dai","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102398518","display_name":"Guanghao Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"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":"Guanghao Meng","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034104790","display_name":"Shu\u2010Tao Xia","orcid":"https://orcid.org/0000-0002-8639-982X"},"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/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu-Tao Xia","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101566239"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.768,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92308896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"782","last_page":"790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9879999756813049,"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":0.9829999804496765,"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":0.8165040016174316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6973831653594971},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5995970964431763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.499769926071167},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4452805519104004},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.43873023986816406},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42310020327568054},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41727590560913086},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4152457118034363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38527143001556396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165040016174316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6973831653594971},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5995970964431763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.499769926071167},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4452805519104004},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.43873023986816406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42310020327568054},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41727590560913086},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4152457118034363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38527143001556396},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/87","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/87","pdf_url":"https://www.ijcai.org/proceedings/2023/0087.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/87","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/87","pdf_url":"https://www.ijcai.org/proceedings/2023/0087.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2802018518","display_name":null,"funder_award_id":"62171248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5433012282","display_name":null,"funder_award_id":"2022YFF1202104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385764576.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W603536130","https://openalex.org/W1522301498","https://openalex.org/W1885185971","https://openalex.org/W1971822075","https://openalex.org/W1998042868","https://openalex.org/W2144554289","https://openalex.org/W2146835493","https://openalex.org/W2194187530","https://openalex.org/W2531409750","https://openalex.org/W2603777577","https://openalex.org/W2750938222","https://openalex.org/W2810983211","https://openalex.org/W2866634454","https://openalex.org/W2909559909","https://openalex.org/W2937791502","https://openalex.org/W2954930822","https://openalex.org/W2962953661","https://openalex.org/W2963470893","https://openalex.org/W2963526661","https://openalex.org/W2965066169","https://openalex.org/W2972424968","https://openalex.org/W2987150909","https://openalex.org/W3035449864","https://openalex.org/W3103667010","https://openalex.org/W3107840264","https://openalex.org/W3110267192","https://openalex.org/W3181186176","https://openalex.org/W3206615376","https://openalex.org/W4226348722","https://openalex.org/W4226544595","https://openalex.org/W4306291264","https://openalex.org/W4309845474","https://openalex.org/W4312593844","https://openalex.org/W4312843595","https://openalex.org/W4312923907","https://openalex.org/W4312932251","https://openalex.org/W4320926869"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1538046993","https://openalex.org/W4312518048","https://openalex.org/W2996769815"],"abstract_inverted_index":{"Scene":[0],"text":[1,14,142],"image":[2,8],"super-resolution":[3,124],"(STISR),":[4],"aiming":[5],"to":[6,70,90,108,113],"improve":[7],"quality":[9],"while":[10],"boosting":[11],"downstream":[12],"scene":[13,141],"recognition":[15,143],"accuracy,":[16],"has":[17],"recently":[18],"achieved":[19],"great":[20],"success.":[21],"However,":[22],"most":[23],"existing":[24],"methods":[25],"treat":[26],"the":[27,37,42,45,50,79,86,97,104,123,131,146],"foreground":[28],"(character":[29],"regions)":[30,34],"and":[31,40,139],"background":[32],"(non-character":[33],"equally":[35],"in":[36,56,126],"forward":[38],"process,":[39],"neglect":[41],"disturbance":[43],"from":[44],"complex":[46],"background,":[47],"thus":[48],"limiting":[49],"performance.":[51],"To":[52,77],"address":[53],"these":[54],"issues,":[55],"this":[57],"paper,":[58],"we":[59,84,102],"propose":[60,85,103],"a":[61],"novel":[62],"method":[63,150],"LEMMA":[64],"that":[65],"explicitly":[66],"models":[67],"character":[68,92],"regions":[69],"produce":[71],"high-level":[72],"text-specific":[73],"guidance":[74],"for":[75],"super-resolution.":[76],"model":[78],"location":[80,87],"of":[81,148],"characters":[82],"effectively,":[83],"enhancement":[88],"module":[89,107],"extract":[91],"region":[93],"features":[94],"based":[95],"on":[96,137],"attention":[98],"map":[99],"sequence.":[100],"Besides,":[101],"multi-modal":[105],"alignment":[106,112],"perform":[109],"bidirectional":[110],"visual-semantic":[111],"generate":[114],"high-quality":[115],"prior":[116],"guidance,":[117],"which":[118],"is":[119,156],"then":[120],"incorporated":[121],"into":[122],"branch":[125],"an":[127],"adaptive":[128,133],"manner":[129],"using":[130],"proposed":[132],"fusion":[134],"module.":[135],"Experiments":[136],"TextZoom":[138],"four":[140],"benchmarks":[144],"demonstrate":[145],"superiority":[147],"our":[149],"over":[151],"other":[152],"state-of-the-art":[153],"methods.":[154],"Code":[155],"available":[157],"at":[158],"https://github.com/csguoh/LEMMA.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
