{"id":"https://openalex.org/W3169457816","doi":"https://doi.org/10.24963/ijcai.2022/188","title":"Video Frame Interpolation Based on Deformable Kernel Region","display_name":"Video Frame Interpolation Based on Deformable Kernel Region","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W3169457816","doi":"https://doi.org/10.24963/ijcai.2022/188","mag":"3169457816"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/188","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/188","pdf_url":"https://www.ijcai.org/proceedings/2022/0188.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0188.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068041322","display_name":"Haoyue Tian","orcid":"https://orcid.org/0000-0003-1801-0488"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyue Tian","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019391901","display_name":"Pan Gao","orcid":"https://orcid.org/0000-0002-4492-5430"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Gao","raw_affiliation_strings":["College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033413473","display_name":"Xiaojiang Peng","orcid":"https://orcid.org/0000-0002-5783-321X"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Peng","raw_affiliation_strings":["College of Big Data and Internet, Shenzhen Technology University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet, Shenzhen Technology University","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1349","last_page":"1355"},"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":0.9995999932289124,"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":0.9968000054359436,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6899404525756836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728277206420898},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6613814234733582},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6597729921340942},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6165370345115662},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.5696296095848083},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4912516474723816},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4775567650794983},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.45195287466049194},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4184281527996063},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3841709494590759},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3566455543041229},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.26987209916114807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24718549847602844},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.20722052454948425},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12777447700500488},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08710384368896484},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.08212730288505554}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6899404525756836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728277206420898},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6613814234733582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6597729921340942},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6165370345115662},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.5696296095848083},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4912516474723816},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4775567650794983},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.45195287466049194},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4184281527996063},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3841709494590759},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3566455543041229},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.26987209916114807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24718549847602844},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.20722052454948425},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12777447700500488},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08710384368896484},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.08212730288505554},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/188","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/188","pdf_url":"https://www.ijcai.org/proceedings/2022/0188.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/188","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/188","pdf_url":"https://www.ijcai.org/proceedings/2022/0188.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3169457816.pdf","grobid_xml":"https://content.openalex.org/works/W3169457816.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W639708223","https://openalex.org/W1513100184","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2420613611","https://openalex.org/W2470139095","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2601564443","https://openalex.org/W2604329646","https://openalex.org/W2750772846","https://openalex.org/W2763421725","https://openalex.org/W2769654144","https://openalex.org/W2774659647","https://openalex.org/W2795783309","https://openalex.org/W2886904239","https://openalex.org/W2899771611","https://openalex.org/W2902303185","https://openalex.org/W2904829482","https://openalex.org/W2949258649","https://openalex.org/W2955747520","https://openalex.org/W2963093735","https://openalex.org/W2963150697","https://openalex.org/W2963179609","https://openalex.org/W2963351448","https://openalex.org/W2963782415","https://openalex.org/W2963840672","https://openalex.org/W2963903399","https://openalex.org/W2964241181","https://openalex.org/W2964251418","https://openalex.org/W2966926453","https://openalex.org/W2973673960","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2989028869","https://openalex.org/W3006897426","https://openalex.org/W3017280322","https://openalex.org/W3030520226","https://openalex.org/W3035239272","https://openalex.org/W3035396860","https://openalex.org/W3095533583","https://openalex.org/W3101246443","https://openalex.org/W3102015846","https://openalex.org/W3108849448","https://openalex.org/W3110402800","https://openalex.org/W3118401715","https://openalex.org/W3134680050","https://openalex.org/W4287685828","https://openalex.org/W6759363029"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W3015492429","https://openalex.org/W2130897820","https://openalex.org/W4313011307","https://openalex.org/W4292718949","https://openalex.org/W2964838098","https://openalex.org/W1905052409"],"abstract_inverted_index":{"Video":[0],"frame":[1],"interpolation":[2,41,145],"task":[3],"has":[4],"recently":[5],"become":[6],"more":[7,9,131,143],"and":[8,86,139],"prevalent":[10],"in":[11,74,162],"the":[12,61,81,108,117,122,126,134,137,155,159,165],"computer":[13],"vision":[14],"field.":[15],"At":[16],"present,":[17],"a":[18,44,142],"number":[19],"of":[20,31,46,63,83,88,128,136,158],"researches":[21],"based":[22,35],"on":[23,36,60,121,150],"deep":[24],"learning":[25],"have":[26,53],"achieved":[27],"great":[28],"success.":[29],"Most":[30],"them":[32],"are":[33,57,148],"either":[34],"optical":[37],"flow":[38],"information,":[39],"or":[40,43],"kernel,":[42],"combination":[45],"these":[47,51],"two":[48],"methods.":[49],"However,":[50],"methods":[52],"ignored":[54],"that":[55,75],"there":[56],"grid":[58,119],"restrictions":[59,120],"position":[62],"kernel":[64,123],"region":[65],"during":[66],"synthesizing":[67],"each":[68],"target":[69],"pixel.":[70],"These":[71],"limitations":[72],"result":[73],"they":[76],"cannot":[77],"well":[78],"adapt":[79],"to":[80,93,102,153,164],"irregularity":[82],"object":[84],"shape":[85,135],"uncertainty":[87],"motion,":[89],"which":[90,114],"may":[91],"lead":[92],"irrelevant":[94],"reference":[95,129],"pixels":[96],"used":[97],"for":[98,111,133],"interpolation.":[99],"In":[100],"order":[101],"solve":[103],"this":[104],"problem,":[105],"we":[106],"revisit":[107],"deformable":[109],"convolution":[110],"video":[112],"interpolation,":[113],"can":[115],"break":[116],"fixed":[118],"region,":[124],"making":[125],"distribution":[127],"points":[130],"suitable":[132],"object,":[138],"thus":[140],"warp":[141],"accurate":[144],"frame.":[146],"Experiments":[147],"conducted":[149],"four":[151],"datasets":[152],"demonstrate":[154],"superior":[156],"performance":[157],"proposed":[160],"model":[161],"comparison":[163],"state-of-the-art":[166],"alternatives.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}