{"id":"https://openalex.org/W2884361238","doi":"https://doi.org/10.1007/978-3-030-01267-0_17","title":"Conditional Prior Networks for Optical Flow","display_name":"Conditional Prior Networks for Optical Flow","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2884361238","doi":"https://doi.org/10.1007/978-3-030-01267-0_17","mag":"2884361238"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-01267-0_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01267-0_17","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,"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"},"type":"book-chapter","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/A5108054841","display_name":"Yanchao Yang","orcid":"https://orcid.org/0000-0002-2447-7917"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanchao Yang","raw_affiliation_strings":["UCLA Vision Lab, University of California, Los Angeles, CA, 90095, USA"],"affiliations":[{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, CA, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038328783","display_name":"Stefano Soatto","orcid":"https://orcid.org/0000-0003-2902-6362"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Soatto","raw_affiliation_strings":["UCLA Vision Lab, University of California, Los Angeles, CA, 90095, USA"],"affiliations":[{"raw_affiliation_string":"UCLA Vision Lab, University of California, Los Angeles, CA, 90095, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108054841"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.4469,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.94065986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"298"},"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":0.9969000220298767,"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/T11019","display_name":"Image Enhancement Techniques","score":0.984499990940094,"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/computer-science","display_name":"Computer science","score":0.8327009677886963},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7681266665458679},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6958505511283875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6284024715423584},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6161225438117981},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5250482559204102},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.516207754611969},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5001773834228516},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4921714663505554},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4775313138961792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45387616753578186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40490609407424927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3457154929637909},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3232182264328003},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.21418586373329163},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21096166968345642},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08991768956184387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327009677886963},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7681266665458679},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6958505511283875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6284024715423584},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6161225438117981},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5250482559204102},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.516207754611969},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5001773834228516},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4921714663505554},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4775313138961792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45387616753578186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40490609407424927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3457154929637909},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3232182264328003},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.21418586373329163},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21096166968345642},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08991768956184387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-01267-0_17","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01267-0_17","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,"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:hub.hku.hk:10722/352002","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/352002","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"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":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W44263287","https://openalex.org/W303181297","https://openalex.org/W764651262","https://openalex.org/W1230023165","https://openalex.org/W1504694699","https://openalex.org/W1513100184","https://openalex.org/W1557951420","https://openalex.org/W1578285471","https://openalex.org/W1867429401","https://openalex.org/W1921093919","https://openalex.org/W1936896434","https://openalex.org/W2033959528","https://openalex.org/W2099471712","https://openalex.org/W2129999749","https://openalex.org/W2131747574","https://openalex.org/W2135468088","https://openalex.org/W2147253850","https://openalex.org/W2150066425","https://openalex.org/W2153101587","https://openalex.org/W2154504070","https://openalex.org/W2155302366","https://openalex.org/W2158919891","https://openalex.org/W2168874984","https://openalex.org/W2259424905","https://openalex.org/W2295628903","https://openalex.org/W2507953016","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2604909019","https://openalex.org/W2737012286","https://openalex.org/W2809994596","https://openalex.org/W2963172626","https://openalex.org/W2963177640","https://openalex.org/W2963305757","https://openalex.org/W2963317244","https://openalex.org/W2963891416","https://openalex.org/W2964002255","https://openalex.org/W2964080999","https://openalex.org/W3100388886","https://openalex.org/W4206192903","https://openalex.org/W4249022109","https://openalex.org/W6642310769"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4221142204"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
