{"id":"https://openalex.org/W3109923092","doi":"https://doi.org/10.1007/978-3-030-58586-0_11","title":"Unsupervised Learning of Optical Flow with Deep Feature Similarity","display_name":"Unsupervised Learning of Optical Flow with Deep Feature Similarity","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109923092","doi":"https://doi.org/10.1007/978-3-030-58586-0_11","mag":"3109923092"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58586-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58586-0_11","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/A5043449123","display_name":"Woobin Im","orcid":"https://orcid.org/0000-0002-9269-4833"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woobin Im","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653784","display_name":"Tae\u2010Kyun Kim","orcid":"https://orcid.org/0000-0002-7587-6053"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Tae-Kyun Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, UK","School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078173428","display_name":"Sung\u2010Eui Yoon","orcid":"https://orcid.org/0000-0002-7123-1119"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung-Eui Yoon","raw_affiliation_strings":["School of Computing, KAIST, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing, KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078173428"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.1498,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.93761878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"188"},"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":0.9973999857902527,"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":0.9952999949455261,"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":0.7649763226509094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469547986984253},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7091977596282959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6742532849311829},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5919874906539917},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5529904961585999},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5427129864692688},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5172879695892334},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5108892321586609},{"id":"https://openalex.org/keywords/similarity-learning","display_name":"Similarity learning","score":0.497635155916214},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4567616283893585},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4151160418987274},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4117644429206848},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3666287064552307},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15835589170455933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649763226509094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469547986984253},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7091977596282959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6742532849311829},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5919874906539917},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5529904961585999},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5427129864692688},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5172879695892334},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5108892321586609},{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.497635155916214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4567616283893585},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4151160418987274},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4117644429206848},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3666287064552307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15835589170455933},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58586-0_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58586-0_11","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.75,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W79127031","https://openalex.org/W603908379","https://openalex.org/W764651262","https://openalex.org/W1513100184","https://openalex.org/W1674866864","https://openalex.org/W1849277567","https://openalex.org/W1921093919","https://openalex.org/W1951289974","https://openalex.org/W2113221323","https://openalex.org/W2147253850","https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2293363371","https://openalex.org/W2321533354","https://openalex.org/W2470394683","https://openalex.org/W2507953016","https://openalex.org/W2548527721","https://openalex.org/W2560474170","https://openalex.org/W2592685292","https://openalex.org/W2604909019","https://openalex.org/W2747550417","https://openalex.org/W2785325870","https://openalex.org/W2894176037","https://openalex.org/W2894983388","https://openalex.org/W2904340070","https://openalex.org/W2951309005","https://openalex.org/W2952186347","https://openalex.org/W2962816904","https://openalex.org/W2962864875","https://openalex.org/W2963210183","https://openalex.org/W2963219046","https://openalex.org/W2963317244","https://openalex.org/W2963524571","https://openalex.org/W2963782415","https://openalex.org/W2963891416","https://openalex.org/W2964423614","https://openalex.org/W2967043539","https://openalex.org/W2970400386","https://openalex.org/W2970885858","https://openalex.org/W2980116241","https://openalex.org/W2991079364","https://openalex.org/W3100388886","https://openalex.org/W6618372016","https://openalex.org/W6767375087"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2116800405","https://openalex.org/W2116082704","https://openalex.org/W1978917728","https://openalex.org/W2145721853","https://openalex.org/W2166387735"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
