{"id":"https://openalex.org/W4308237183","doi":"https://doi.org/10.1109/icip46576.2022.9897981","title":"ATCA: An ARC Trajectory Based Model with Curvature Attention for Video Frame Interpolation","display_name":"ATCA: An ARC Trajectory Based Model with Curvature Attention for Video Frame Interpolation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308237183","doi":"https://doi.org/10.1109/icip46576.2022.9897981"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5100424765","display_name":"Jinfeng Liu","orcid":"https://orcid.org/0000-0002-5453-2761"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinfeng Liu","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033139478","display_name":"Lingtong Kong","orcid":"https://orcid.org/0000-0003-2212-3581"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingtong Kong","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Institute of Image Processing and Pattern Recognition,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100424765"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.2998,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63874234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1486","last_page":"1490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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":0.9983000159263611,"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":0.9951000213623047,"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":0.7883386611938477},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7167708873748779},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6971065402030945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6447628140449524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6365126371383667},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5996149778366089},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5785428285598755},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.5693621635437012},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5071816444396973},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48332926630973816},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4790160059928894},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.45345211029052734},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.17425119876861572},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17019152641296387},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.16501283645629883},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.13994920253753662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7883386611938477},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7167708873748779},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6971065402030945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6447628140449524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6365126371383667},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5996149778366089},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5785428285598755},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.5693621635437012},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5071816444396973},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48332926630973816},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4790160059928894},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.45345211029052734},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.17425119876861572},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17019152641296387},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.16501283645629883},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.13994920253753662},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897981","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897981","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1522301498","https://openalex.org/W2147253850","https://openalex.org/W2259643685","https://openalex.org/W2305401973","https://openalex.org/W2586480386","https://openalex.org/W2736981815","https://openalex.org/W2769654144","https://openalex.org/W2949258649","https://openalex.org/W2963093735","https://openalex.org/W2963268050","https://openalex.org/W2963741402","https://openalex.org/W2963782415","https://openalex.org/W2964156315","https://openalex.org/W2964251418","https://openalex.org/W2989028869","https://openalex.org/W3034921716","https://openalex.org/W3035239272","https://openalex.org/W3102015846","https://openalex.org/W3110612869","https://openalex.org/W3168286621","https://openalex.org/W3206778864","https://openalex.org/W4297800839","https://openalex.org/W4312770027","https://openalex.org/W6600983433","https://openalex.org/W6631190155","https://openalex.org/W6767201353"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3015492429","https://openalex.org/W1739651088","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],"is":[3,106],"a":[4,42,46,54],"classic":[5],"and":[6,21,79,104,122],"challenging":[7],"low-level":[8],"computer":[9],"vision":[10],"task.":[11],"Recently,":[12],"deep":[13],"learning":[14],"based":[15,29,92],"methods":[16,30,40,118],"have":[17],"achieved":[18],"impressive":[19],"results,":[20],"it":[22],"has":[23],"been":[24],"proven":[25],"that":[26,110],"optical":[27],"flow":[28],"can":[31],"synthesize":[32],"frames":[33,68,103],"with":[34,45,59,119],"higher":[35],"quality.":[36],"However,":[37],"most":[38],"flow-based":[39],"assume":[41],"line":[43],"trajectory":[44,91],"constant":[47],"velocity":[48],"between":[49],"two":[50,67,101],"input":[51,70],"frames.":[52],"Only":[53],"little":[55],"work":[56],"enforces":[57],"predictions":[58],"curvilinear":[60],"trajectory,":[61],"but":[62],"this":[63,85],"requires":[64],"more":[65,77],"than":[66,115],"as":[69],"to":[71,81],"estimate":[72],"the":[73],"acceleration,":[74],"which":[75,95],"takes":[76],"time":[78],"memory":[80],"execute.":[82],"To":[83],"address":[84],"problem,":[86],"we":[87],"propose":[88],"an":[89],"arc":[90],"model":[93],"(ATCA),":[94],"learns":[96],"motion":[97],"prior":[98],"from":[99],"only":[100],"consecutive":[102],"also":[105],"lightweight.":[107],"Experiments":[108],"show":[109],"our":[111],"approach":[112],"performs":[113],"better":[114],"many":[116],"SOTA":[117],"fewer":[120],"parameters":[121],"faster":[123],"inference":[124],"speed.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}