{"id":"https://openalex.org/W2896783557","doi":"https://doi.org/10.1007/978-3-030-01225-0_3","title":"Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement","display_name":"Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896783557","doi":"https://doi.org/10.1007/978-3-030-01225-0_3","mag":"2896783557"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-01225-0_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01225-0_3","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/A5022755928","display_name":"Minhyeok Heo","orcid":null},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minhyeok Heo","raw_affiliation_strings":["NAVER LABS, Seongnam, South Korea"],"affiliations":[{"raw_affiliation_string":"NAVER LABS, Seongnam, South Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111946301","display_name":"Jaehan Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaehan Lee","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039473743","display_name":"Kyung Rae Kim","orcid":"https://orcid.org/0000-0001-9239-3101"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Rae Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081095861","display_name":"Hanul Kim","orcid":"https://orcid.org/0000-0001-7450-6600"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Han-Ul Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063748248","display_name":"Chang\u2010Su Kim","orcid":"https://orcid.org/0000-0002-4276-1831"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Su Kim","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5022755928"],"corresponding_institution_ids":["https://openalex.org/I60922564"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.3593,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.93991212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"55"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.8321712017059326},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.7338966727256775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6974118947982788},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6315561532974243},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5980994701385498},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5862795114517212},{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.5545222759246826},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040608644485474},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4598994255065918},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4582076072692871},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.42638036608695984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41836780309677124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36616578698158264},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2825276255607605}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8321712017059326},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.7338966727256775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6974118947982788},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6315561532974243},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5980994701385498},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5862795114517212},{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.5545222759246826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040608644485474},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4598994255065918},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4582076072692871},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.42638036608695984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41836780309677124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36616578698158264},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2825276255607605},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum 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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-01225-0_3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-01225-0_3","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1486646730","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1905829557","https://openalex.org/W1915250530","https://openalex.org/W1992178727","https://openalex.org/W1994184495","https://openalex.org/W2026203852","https://openalex.org/W2035773017","https://openalex.org/W2049351243","https://openalex.org/W2074254947","https://openalex.org/W2083047701","https://openalex.org/W2103359735","https://openalex.org/W2104620097","https://openalex.org/W2108598243","https://openalex.org/W2109945199","https://openalex.org/W2124907686","https://openalex.org/W2125416623","https://openalex.org/W2132947399","https://openalex.org/W2145567954","https://openalex.org/W2155893237","https://openalex.org/W2158211626","https://openalex.org/W2163605009","https://openalex.org/W2168564612","https://openalex.org/W2194775991","https://openalex.org/W2399238887","https://openalex.org/W2411071877","https://openalex.org/W2519362791","https://openalex.org/W2556967412","https://openalex.org/W2560491685","https://openalex.org/W2750515003","https://openalex.org/W2778362064","https://openalex.org/W2798727000","https://openalex.org/W2804996101","https://openalex.org/W2951234442","https://openalex.org/W2962807621","https://openalex.org/W2963591054","https://openalex.org/W2964350391"],"related_works":["https://openalex.org/W2795471480","https://openalex.org/W2520322935","https://openalex.org/W3005941135","https://openalex.org/W2086087387","https://openalex.org/W2104324080","https://openalex.org/W2027589961","https://openalex.org/W2155505427","https://openalex.org/W2140069086","https://openalex.org/W2171321620","https://openalex.org/W2537394792"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
