{"id":"https://openalex.org/W4307093713","doi":"https://doi.org/10.1109/tpami.2022.3212912","title":"Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video","display_name":"Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter Video","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4307093713","doi":"https://doi.org/10.1109/tpami.2022.3212912","pmid":"https://pubmed.ncbi.nlm.nih.gov/36269907"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3212912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3212912","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","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/A5101863814","display_name":"Bin Fan","orcid":"https://orcid.org/0000-0001-9191-8455"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Fan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036202579","display_name":"Yuchao Dai","orcid":"https://orcid.org/0000-0002-4432-7406"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Dai","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0002-4432-7406","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101819061","display_name":"Hongdong Li","orcid":"https://orcid.org/0000-0003-4125-1554"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["School of Computing, Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.972,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.74593016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"45","issue":"5","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9995999932289124,"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/shutter","display_name":"Shutter","score":0.9012664556503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7157659530639648},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.668311357498169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.661852240562439},{"id":"https://openalex.org/keywords/rolling-shutter","display_name":"Rolling shutter","score":0.6561336517333984},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5536434054374695},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4799109399318695},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4443528354167938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2702341675758362},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11044123768806458},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08809643983840942}],"concepts":[{"id":"https://openalex.org/C2776871301","wikidata":"https://www.wikidata.org/wiki/Q691823","display_name":"Shutter","level":2,"score":0.9012664556503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7157659530639648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.668311357498169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.661852240562439},{"id":"https://openalex.org/C2776166537","wikidata":"https://www.wikidata.org/wiki/Q2164193","display_name":"Rolling shutter","level":3,"score":0.6561336517333984},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5536434054374695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4799109399318695},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4443528354167938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2702341675758362},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11044123768806458},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08809643983840942}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3212912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3212912","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36269907","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36269907","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 transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2298402825","display_name":null,"funder_award_id":"2018AAA0102803","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4012969500","display_name":null,"funder_award_id":"s62271410","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6120184083","display_name":null,"funder_award_id":"61901387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8134530152","display_name":null,"funder_award_id":"62001394","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1556786524","https://openalex.org/W1901129140","https://openalex.org/W1905052409","https://openalex.org/W1977088727","https://openalex.org/W1989701469","https://openalex.org/W2000029504","https://openalex.org/W2033959528","https://openalex.org/W2061176333","https://openalex.org/W2085261163","https://openalex.org/W2089979487","https://openalex.org/W2097934325","https://openalex.org/W2101028311","https://openalex.org/W2107136233","https://openalex.org/W2331128040","https://openalex.org/W2346752008","https://openalex.org/W2441231020","https://openalex.org/W2471962767","https://openalex.org/W2586480386","https://openalex.org/W2741863916","https://openalex.org/W2769654144","https://openalex.org/W2778979395","https://openalex.org/W2780607146","https://openalex.org/W2792605344","https://openalex.org/W2798297683","https://openalex.org/W2799243406","https://openalex.org/W2904829482","https://openalex.org/W2912145762","https://openalex.org/W2948778647","https://openalex.org/W2949258649","https://openalex.org/W2962785568","https://openalex.org/W2962864875","https://openalex.org/W2963093735","https://openalex.org/W2963268050","https://openalex.org/W2963483509","https://openalex.org/W2963782415","https://openalex.org/W2981362942","https://openalex.org/W2997150500","https://openalex.org/W3005939000","https://openalex.org/W3009265375","https://openalex.org/W3034511480","https://openalex.org/W3034748226","https://openalex.org/W3034850705","https://openalex.org/W3034921716","https://openalex.org/W3049303358","https://openalex.org/W3091548766","https://openalex.org/W3102015846","https://openalex.org/W3107921985","https://openalex.org/W3107934100","https://openalex.org/W3109908659","https://openalex.org/W3110612869","https://openalex.org/W3128053054","https://openalex.org/W3135379550","https://openalex.org/W3154939202","https://openalex.org/W3169826042","https://openalex.org/W3186337893","https://openalex.org/W3191254673","https://openalex.org/W3203705350","https://openalex.org/W3206088356","https://openalex.org/W6631190155","https://openalex.org/W6633368546","https://openalex.org/W6637373629","https://openalex.org/W6745935785","https://openalex.org/W6767201353"],"related_works":["https://openalex.org/W2329776479","https://openalex.org/W2101028311","https://openalex.org/W2357032018","https://openalex.org/W1573874963","https://openalex.org/W2384422880","https://openalex.org/W2398170027","https://openalex.org/W1975186948","https://openalex.org/W3204130698","https://openalex.org/W3191254673","https://openalex.org/W2329937575"],"abstract_inverted_index":{"A":[0],"single":[1],"rolling-shutter":[2,31,64,230],"(RS)":[3],"image":[4,41,65,266],"may":[5],"be":[6,142],"viewed":[7],"as":[8,155,157],"a":[9,13,21,70,94,111,163,179,204],"row-wise":[10],"combination":[11],"of":[12,15,47,122],"sequence":[14],"global-shutter":[16,74,241],"(GS)":[17],"images":[18],"captured":[19],"by":[20],"(virtual)":[22],"moving":[23],"GS":[24,135,218,265],"camera":[25,49],"within":[26,203],"the":[27,36,45,63,85,118,123,170,198,215,227,272],"exposure":[28],"duration.":[29],"Although":[30],"cameras":[32],"are":[33],"widely":[34],"used,":[35],"RS":[37,79,86,124,149,171,186,246],"effect":[38],"causes":[39],"obvious":[40],"distortion":[42],"especially":[43],"in":[44],"presence":[46],"fast":[48],"motion,":[50],"hindering":[51],"downstream":[52],"computer":[53],"vision":[54],"tasks.":[55],"In":[56],"this":[57,83,224],"paper,":[58],"we":[59],"propose":[60],"to":[61,99,106,191,237],"invert":[62],"capture":[66],"mechanism,":[67],"i.e.,":[68],"recovering":[69],"continuous":[71],"high":[72,133,239],"framerate":[73,134,240],"video":[75],"from":[76,243],"two":[77,245],"time-consecutive":[78],"frames.":[80,247],"We":[81],"call":[82],"task":[84],"temporal":[87,231],"super-resolution":[88,232],"(RSSR)":[89],"problem.":[90],"The":[91],"RSSR":[92],"is":[93,212,235],"very":[95,228],"challenging":[96],"task,":[97],"and":[98,174,254],"our":[100,127,259],"knowledge,":[101],"no":[102,209],"practical":[103],"solution":[104],"exists":[105],"date.":[107],"This":[108],"paper":[109,225],"presents":[110],"novel":[112,139,145],"deep-learning":[113],"based":[114,129],"solution.":[115],"By":[116],"leveraging":[117],"multi-view":[119],"geometry":[120],"relationship":[121],"imaging":[125],"process,":[126],"learning":[128,206],"framework":[130],"successfully":[131],"achieves":[132],"generation.":[136],"Specifically,":[137],"three":[138],"contributions":[140],"can":[141,262],"identified:":[143],"(i)":[144],"formulations":[146],"for":[147],"bidirectional":[148],"undistortion":[150,172,187],"flows":[151,188],"under":[152],"constant":[153,158],"velocity":[154],"well":[156],"acceleration":[159],"motion":[160],"model.":[161],"(ii)":[162],"simple":[164],"linear":[165],"scaling":[166],"operation,":[167],"which":[168],"bridges":[169],"flow":[173],"regular":[175],"optical":[176],"flow.":[177],"(iii)":[178],"new":[180],"mutual":[181],"conversion":[182],"scheme":[183],"between":[184],"varying":[185],"that":[189,234,258],"correspond":[190],"different":[192],"scanlines.":[193],"Our":[194],"method":[195,261],"also":[196],"exploits":[197],"underlying":[199],"spatial-temporal":[200],"geometric":[201],"relationships":[202],"deep":[205],"framework,":[207],"where":[208],"additional":[210],"supervision":[211],"required":[213],"beyond":[214],"necessary":[216],"middle-scanline":[217],"image.":[219],"Building":[220],"upon":[221],"these":[222],"contributions,":[223],"represents":[226],"first":[229],"deep-network":[233],"able":[236],"recover":[238],"videos":[242],"just":[244],"Extensive":[248],"experimental":[249],"results":[250],"on":[251],"both":[252],"synthetic":[253],"real":[255],"data":[256],"show":[257],"proposed":[260],"produce":[263],"high-quality":[264],"sequences":[267],"with":[268],"rich":[269],"details,":[270],"outperforming":[271],"state-of-the-art":[273],"methods.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
