{"id":"https://openalex.org/W3109908659","doi":"https://doi.org/10.1007/978-3-030-58536-5_24","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","display_name":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109908659","doi":"https://doi.org/10.1007/978-3-030-58536-5_24","mag":"3109908659"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58536-5_24","doi":"https://doi.org/10.1007/978-3-030-58536-5_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58536-5_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4240413382","display_name":"Computer Vision \u2013 ECCV 2020"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.12039","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018873548","display_name":"Zachary Teed","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zachary Teed","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101542158","display_name":"Jia Deng","orcid":"https://orcid.org/0000-0001-9594-4554","observed_orcids":["https://orcid.org/0000-0001-9594-4554"]},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Deng","raw_affiliation_strings":["Princeton University, Princeton, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5018873548"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":79.3376,"has_fulltext":false,"cited_by_count":2818,"citation_normalized_percentile":{"value":0.99947109,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9970999956130981,"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":0.9970999956130981,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.000699999975040555,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0006000000284984708,"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/optical-flow","display_name":"optical flow","score":0.7919999957084656},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.628000020980835},{"id":"https://openalex.org/keywords/flow-field-estimation","display_name":"flow field estimation","score":0.4729999899864197},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.7139999866485596},{"id":"https://openalex.org/keywords/cross-dataset-generalization","display_name":"cross-dataset generalization","score":0.8519999980926514},{"id":"https://openalex.org/keywords/inference-efficiency","display_name":"inference efficiency","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C9132879","wikidata":"https://www.wikidata.org/wiki/Q17100313","display_name":"Raft","level":4,"score":0.8343427181243896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8028523921966553},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6821009516716003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44393327832221985},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4188445508480072},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4142118990421295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3976944386959076},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13732627034187317},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07748034596443176},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C15920480","wikidata":"https://www.wikidata.org/wiki/Q421281","display_name":"Copolymer","level":3,"score":0.0},{"id":"https://openalex.org/C521977710","wikidata":"https://www.wikidata.org/wiki/Q81163","display_name":"Polymer","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-58536-5_24","doi":"https://doi.org/10.1007/978-3-030-58536-5_24","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58536-5_24","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","ki-jl-1","norway-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2003.12039","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.12039","pdf_url":"https://arxiv.org/pdf/2003.12039","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2003.12039","doi":"https://doi.org/10.48550/arxiv.2003.12039","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2003.12039","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.12039","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.12039","pdf_url":"https://arxiv.org/pdf/2003.12039","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6270464366","display_name":"RI: Small: Inverse Rendering by Co-Evolutionary Learning","funder_award_id":"1617767","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W303181297","https://openalex.org/W764651262","https://openalex.org/W1513100184","https://openalex.org/W1578985305","https://openalex.org/W1884238496","https://openalex.org/W1921093919","https://openalex.org/W2092663520","https://openalex.org/W2113221323","https://openalex.org/W2115579991","https://openalex.org/W2117248802","https://openalex.org/W2153101587","https://openalex.org/W2171857946","https://openalex.org/W2259424905","https://openalex.org/W2269094482","https://openalex.org/W2492517581","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2605229288","https://openalex.org/W2607406448","https://openalex.org/W2611683220","https://openalex.org/W2738743584","https://openalex.org/W2746434776","https://openalex.org/W2751023760","https://openalex.org/W2789005540","https://openalex.org/W2801461794","https://openalex.org/W2884068670","https://openalex.org/W2887825894","https://openalex.org/W2899771611","https://openalex.org/W2904816510","https://openalex.org/W2939996168","https://openalex.org/W2949657144","https://openalex.org/W2951309005","https://openalex.org/W2952825894","https://openalex.org/W2963210183","https://openalex.org/W2963216700","https://openalex.org/W2963305757","https://openalex.org/W2963496125","https://openalex.org/W2963782415","https://openalex.org/W2963970238","https://openalex.org/W2964156315","https://openalex.org/W2964199361","https://openalex.org/W2970791107","https://openalex.org/W2970900903","https://openalex.org/W2971252756","https://openalex.org/W3007471652","https://openalex.org/W3008831856","https://openalex.org/W3013402579","https://openalex.org/W3043289119","https://openalex.org/W3100388886","https://openalex.org/W4285719527","https://openalex.org/W6600628372","https://openalex.org/W6603242443","https://openalex.org/W6603251197"],"related_works":["https://openalex.org/W1949830826","https://openalex.org/W2795856745","https://openalex.org/W194711897","https://openalex.org/W2372554067","https://openalex.org/W2366815386","https://openalex.org/W2044403649","https://openalex.org/W1974755894","https://openalex.org/W2089988249","https://openalex.org/W1508556694","https://openalex.org/W2886617218"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":454},{"year":2025,"cited_by_count":678},{"year":2024,"cited_by_count":657},{"year":2023,"cited_by_count":512},{"year":2022,"cited_by_count":289},{"year":2021,"cited_by_count":210},{"year":2020,"cited_by_count":18}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2020-12-07T00:00:00"}
