{"id":"https://openalex.org/W4392943884","doi":"https://doi.org/10.1109/iceic61013.2024.10457169","title":"Enhancing Video Frame Interpolation with Flow-Guided Deformable Convolution","display_name":"Enhancing Video Frame Interpolation with Flow-Guided Deformable Convolution","publication_year":2024,"publication_date":"2024-01-28","ids":{"openalex":"https://openalex.org/W4392943884","doi":"https://doi.org/10.1109/iceic61013.2024.10457169"},"language":"en","primary_location":{"id":"doi:10.1109/iceic61013.2024.10457169","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5101881796","display_name":"Dongwoo Kang","orcid":"https://orcid.org/0000-0002-1465-2013"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"DongWoo Kang","raw_affiliation_strings":["Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413930","display_name":"Sangjin Lee","orcid":"https://orcid.org/0000-0001-6085-6351"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangjin Lee","raw_affiliation_strings":["Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026354987","display_name":"Chajin Shin","orcid":"https://orcid.org/0000-0003-4762-282X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chajin Shin","raw_affiliation_strings":["Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015739530","display_name":"Sangyoun Lee","orcid":"https://orcid.org/0000-0003-0394-6777"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyoun Lee","raw_affiliation_strings":["Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Electrical &#x0026; Electronic Engineering,Seoul,Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101881796"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.028512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9984999895095825,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7118659019470215},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.709183931350708},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6876190900802612},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6141533255577087},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.5915453433990479},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5639030933380127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.519582986831665},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.48743346333503723},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4753308594226837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.222360759973526},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.19599920511245728},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.15582942962646484},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.14043498039245605},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11342939734458923},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.08107823133468628},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.05568531155586243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118659019470215},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.709183931350708},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6876190900802612},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6141533255577087},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.5915453433990479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5639030933380127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.519582986831665},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.48743346333503723},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4753308594226837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.222360759973526},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.19599920511245728},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.15582942962646484},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.14043498039245605},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11342939734458923},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.08107823133468628},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.05568531155586243},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic61013.2024.10457169","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic61013.2024.10457169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Electronics, Information, and Communication (ICEIC)","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":6,"referenced_works":["https://openalex.org/W2601564443","https://openalex.org/W2604329646","https://openalex.org/W2964251418","https://openalex.org/W3203041407","https://openalex.org/W4312770027","https://openalex.org/W4319299922"],"related_works":["https://openalex.org/W2182785089","https://openalex.org/W3036450170","https://openalex.org/W4387838477","https://openalex.org/W2067193074","https://openalex.org/W3093584180","https://openalex.org/W3107426390","https://openalex.org/W4312178642","https://openalex.org/W2375093801","https://openalex.org/W1534368937","https://openalex.org/W4312624109"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"introduce":[4],"a":[5,12,86,103],"novel":[6],"approach":[7,84],"to":[8,29,107],"video":[9,16,131,135,155],"frame":[10,62],"interpolation,":[11],"key":[13],"process":[14],"in":[15,57,148],"processing.":[17],"We":[18],"propose":[19],"the":[20,41,49,113,116,150],"use":[21],"of":[22,45,89,115,154],"flow-guided":[23],"deformable":[24,46],"convolution":[25,160],"as":[26,130],"an":[27,144],"alternative":[28],"traditional":[30,68],"warping":[31],"techniques":[32,69],"based":[33],"on":[34],"optical":[35,54,80,98,117],"flow.":[36,81],"This":[37,101],"innovative":[38,159],"method":[39,65],"integrates":[40],"flexibility":[42],"and":[43,60,133,152],"adaptability":[44],"convolutions":[47],"with":[48],"motion":[50],"information":[51,74,92],"provided":[52],"by":[53,79,97],"flow,":[55],"resulting":[56],"more":[58,104],"accurate":[59],"reliable":[61],"interpolation.":[63],"Our":[64,141],"diverges":[66],"from":[67,75],"that":[70],"exclusively":[71],"gather":[72],"pixel":[73,91,109],"specific":[76],"points":[77],"indicated":[78],"Instead,":[82],"our":[83],"acquires":[85],"weighted":[87],"sum":[88],"neighboring":[90],"through":[93,158],"learnable":[94],"offsets":[95],"directed":[96],"flow":[99,118],"patterns.":[100],"provides":[102],"flexible":[105],"way":[106],"fetch":[108],"data,":[110],"even":[111],"when":[112],"accuracy":[114],"is":[119],"compromised.":[120],"These":[121],"findings":[122],"suggest":[123],"promising":[124],"implications":[125],"for":[126],"real-world":[127],"applications":[128],"such":[129],"compression":[132],"slow-motion":[134],"creation":[136],"without":[137],"needing":[138],"high-performance":[139],"cameras.":[140],"study":[142],"represents":[143],"important":[145],"step":[146],"forward":[147],"improving":[149],"quality":[151],"efficiency":[153],"processing":[156],"tasks":[157],"techniques.":[161]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
