{"id":"https://openalex.org/W2771350203","doi":"https://doi.org/10.1145/3150165.3150170","title":"CRF-net","display_name":"CRF-net","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2771350203","doi":"https://doi.org/10.1145/3150165.3150170","mag":"2771350203"},"language":"en","primary_location":{"id":"doi:10.1145/3150165.3150170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3150165.3150170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017)","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/A5100700073","display_name":"Han Li","orcid":"https://orcid.org/0000-0003-0505-8810"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Han Li","raw_affiliation_strings":["College of William & Mary"],"affiliations":[{"raw_affiliation_string":"College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000811147","display_name":"Pieter Peers","orcid":"https://orcid.org/0000-0001-7621-9808"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pieter Peers","raw_affiliation_strings":["College of William & Mary"],"affiliations":[{"raw_affiliation_string":"College of William & Mary","institution_ids":["https://openalex.org/I16285277"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100700073"],"corresponding_institution_ids":["https://openalex.org/I16285277"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.7362463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9986000061035156,"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":0.6835476160049438},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.643798291683197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.613660991191864},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.6093130111694336},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5558178424835205},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5453592538833618},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5240797400474548},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4683840572834015},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46205344796180725},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43049150705337524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22755080461502075},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0913480818271637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6835476160049438},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.643798291683197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.613660991191864},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.6093130111694336},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5558178424835205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5453592538833618},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5240797400474548},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4683840572834015},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46205344796180725},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43049150705337524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22755080461502075},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0913480818271637},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3150165.3150170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3150165.3150170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th European Conference on Visual Media Production (CVMP 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5866684500","display_name":null,"funder_award_id":"1350323","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":35,"referenced_works":["https://openalex.org/W175722677","https://openalex.org/W1487582710","https://openalex.org/W1597606624","https://openalex.org/W1686810756","https://openalex.org/W1974093345","https://openalex.org/W1981157915","https://openalex.org/W2012641939","https://openalex.org/W2069281566","https://openalex.org/W2080503091","https://openalex.org/W2093580403","https://openalex.org/W2104745266","https://openalex.org/W2110288559","https://openalex.org/W2114582531","https://openalex.org/W2121119176","https://openalex.org/W2123315723","https://openalex.org/W2124545674","https://openalex.org/W2127701282","https://openalex.org/W2130700878","https://openalex.org/W2133934946","https://openalex.org/W2136270866","https://openalex.org/W2139855821","https://openalex.org/W2143736264","https://openalex.org/W2150202022","https://openalex.org/W2155893237","https://openalex.org/W2169283906","https://openalex.org/W2194775991","https://openalex.org/W2526189251","https://openalex.org/W2618530766","https://openalex.org/W2741404586","https://openalex.org/W2745970765","https://openalex.org/W2766497195","https://openalex.org/W2963882477","https://openalex.org/W3122099796","https://openalex.org/W4236229596","https://openalex.org/W6679358826"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2786391746","https://openalex.org/W2991483587","https://openalex.org/W4381430104","https://openalex.org/W2995102745","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W1990237101","https://openalex.org/W3196471634"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,72],"present":[4],"CRF-net,":[5],"a":[6,16,31,39,68,86,90],"CNN-based":[7],"solution":[8],"for":[9],"estimating":[10],"the":[11,21,47,58,61,81],"camera":[12,51,63,82],"response":[13,52,64,83],"function":[14,84],"from":[15,67,85],"single":[17,69,87],"photograph.":[18,70],"We":[19],"follow":[20],"recent":[22],"trend":[23],"of":[24,34,42,50,60,93],"using":[25],"synthetic":[26],"training":[27,35],"data,":[28],"and":[29,46],"generate":[30],"large":[32],"set":[33,41],"pairs":[36],"based":[37],"on":[38],"small":[40],"radio-metrically":[43],"linear":[44],"images":[45],"DoRF":[48],"database":[49],"functions.":[53],"The":[54],"resulting":[55],"CRF-net":[56,75],"estimates":[57],"parameters":[59],"EMoR":[62],"model":[65],"directly":[66],"Experimentally,":[71],"show":[73],"that":[74],"is":[76],"able":[77],"to":[78],"accurately":[79],"recover":[80],"photograph":[88],"under":[89],"wide":[91],"range":[92],"conditions.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-12-22T00:00:00"}