{"id":"https://openalex.org/W3178576820","doi":"https://doi.org/10.1109/mcg.2021.3097555","title":"STSRNet: Deep Joint Space\u2013Time Super-Resolution for Vector Field Visualization","display_name":"STSRNet: Deep Joint Space\u2013Time Super-Resolution for Vector Field Visualization","publication_year":2021,"publication_date":"2021-07-30","ids":{"openalex":"https://openalex.org/W3178576820","doi":"https://doi.org/10.1109/mcg.2021.3097555","mag":"3178576820","pmid":"https://pubmed.ncbi.nlm.nih.gov/34270416"},"language":"en","primary_location":{"id":"doi:10.1109/mcg.2021.3097555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2021.3097555","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5004030203","display_name":"Yifei An","orcid":"https://orcid.org/0000-0001-6676-4917"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei An","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065630217","display_name":"Han\u2010Wei Shen","orcid":"https://orcid.org/0000-0002-1211-2320"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han-Wei Shen","raw_affiliation_strings":["The Ohio State University, Columbus, OH, USA"],"affiliations":[{"raw_affiliation_string":"The Ohio State University, Columbus, OH, USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039874476","display_name":"Guihua Shan","orcid":"https://orcid.org/0000-0002-8283-2278"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihua Shan","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075178545","display_name":"Guan Li","orcid":"https://orcid.org/0000-0001-6436-3650"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guan Li","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362052","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0003-2073-8320"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004030203"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.0568,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78880719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"41","issue":"6","first_page":"122","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7761343121528625},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6646994948387146},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.5706253051757812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5377519130706787},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5184268951416016},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5045536756515503},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48172619938850403},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47421836853027344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3706817924976349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3691798448562622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36315491795539856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09881508350372314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761343121528625},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6646994948387146},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.5706253051757812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5377519130706787},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5184268951416016},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5045536756515503},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48172619938850403},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47421836853027344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3706817924976349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3691798448562622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36315491795539856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09881508350372314},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/mcg.2021.3097555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2021.3097555","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},{"id":"pmid:34270416","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34270416","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE computer graphics and applications","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6584790067","display_name":null,"funder_award_id":"2019YFB1704201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1979176272","https://openalex.org/W1979606177","https://openalex.org/W2106073068","https://openalex.org/W2157087088","https://openalex.org/W2486202470","https://openalex.org/W2557227117","https://openalex.org/W2805869290","https://openalex.org/W2905346068","https://openalex.org/W2963093735","https://openalex.org/W2963470893","https://openalex.org/W2964040059","https://openalex.org/W2964251418","https://openalex.org/W2965010363","https://openalex.org/W2965669158","https://openalex.org/W2966925760","https://openalex.org/W2973673960","https://openalex.org/W3023287987","https://openalex.org/W3035236663","https://openalex.org/W3104397553","https://openalex.org/W6639824700","https://openalex.org/W6756811790","https://openalex.org/W6766054420"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W2389214306","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W4235240664","https://openalex.org/W2077542787","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2156434174","https://openalex.org/W2071701083"],"abstract_inverted_index":{"We":[0,127],"propose":[1],"STSRNet,":[2],"a":[3,45,66,81,88],"joint":[4],"space-time":[5],"super-resolution":[6,112],"deep":[7,67],"learning":[8,68],"based":[9],"model":[10,69],"for":[11,57],"time-varying":[12],"vector":[13,29,77],"field":[14,78],"data.":[15],"Our":[16,118],"method":[17,119],"is":[18,120],"designed":[19],"to":[20,70,100,113],"reconstruct":[21],"high":[22,26],"temporal":[23],"resolution":[24,28,53,93],"and":[25,98,106,122,139],"spatial":[27,52,92,111],"fields":[30],"sequence":[31],"from":[32,44],"the":[33,72,84,102,107,115,129],"corresponding":[34],"low-resolution":[35],"key":[36,95],"frames.":[37],"For":[38],"large":[39],"scale":[40],"simulations,":[41],"only":[42],"data":[43,79],"subset":[46],"of":[47,76,90,131],"time":[48],"steps":[49],"with":[50,80,134],"reduced":[51],"can":[54,123],"be":[55],"stored":[56],"post":[58],"hoc":[59],"analysis.":[60],"In":[61],"this":[62],"article,":[63],"we":[64],"leverage":[65],"capture":[71],"nonlinear":[73],"complex":[74],"changes":[75],"two-stage":[82],"architecture:":[83],"first":[85],"stage":[86,109],"deforms":[87],"pair":[89],"low":[91],"(LSR)":[94],"frames":[96],"forward":[97],"backward":[99],"generate":[101],"intermediate":[103],"LSR":[104],"frames,":[105],"second":[108],"performs":[110],"output":[114],"high-resolution":[116],"sequence.":[117],"scalable":[121],"handle":[124],"different":[125],"datasets.":[126],"demonstrate":[128],"effectiveness":[130],"our":[132],"framework":[133],"several":[135],"datasets":[136],"through":[137],"quantitative":[138],"qualitative":[140],"evaluations.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}