{"id":"https://openalex.org/W2083597815","doi":"https://doi.org/10.1007/s11263-012-0574-z","title":"Superparsing","display_name":"Superparsing","publication_year":2012,"publication_date":"2012-10-05","ids":{"openalex":"https://openalex.org/W2083597815","doi":"https://doi.org/10.1007/s11263-012-0574-z","mag":"2083597815"},"language":"en","primary_location":{"id":"doi:10.1007/s11263-012-0574-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-012-0574-z","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-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/A5002114219","display_name":"Joseph Tighe","orcid":"https://orcid.org/0000-0002-0716-8119"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joseph Tighe","raw_affiliation_strings":["Computer Science Department, University of North Carolina, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of North Carolina, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005340983","display_name":"Svetlana Lazebnik","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Svetlana Lazebnik","raw_affiliation_strings":["Computer Science Department, University of North Carolina, Chapel Hill, NC, USA","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of North Carolina, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002114219"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":{"value":3690,"currency":"USD","value_usd":3690},"apc_paid":null,"fwci":26.0237,"has_fulltext":false,"cited_by_count":198,"citation_normalized_percentile":{"value":0.99720846,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"101","issue":"2","first_page":"329","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7185972929000854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002025842666626},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6984845399856567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.649632453918457},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5069849491119385},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4922594130039215},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.46929818391799927},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4628447890281677},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.45772653818130493},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4462225139141083},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43502938747406006},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43394869565963745},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42954084277153015},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4241047501564026},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.4165579080581665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33514171838760376},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32621777057647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2216850221157074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21828964352607727}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7185972929000854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002025842666626},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6984845399856567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.649632453918457},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5069849491119385},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4922594130039215},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.46929818391799927},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4628447890281677},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.45772653818130493},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4462225139141083},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43502938747406006},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43394869565963745},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42954084277153015},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4241047501564026},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.4165579080581665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33514171838760376},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32621777057647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2216850221157074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21828964352607727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11263-012-0574-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11263-012-0574-z","pdf_url":null,"source":{"id":"https://openalex.org/S25538012","display_name":"International Journal of Computer Vision","issn_l":"0920-5691","issn":["0920-5691","1573-1405"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Vision","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1423339008","https://openalex.org/W1516887802","https://openalex.org/W1528789833","https://openalex.org/W1532257412","https://openalex.org/W1542723449","https://openalex.org/W1610707153","https://openalex.org/W1818727054","https://openalex.org/W1913356549","https://openalex.org/W1981283549","https://openalex.org/W1989684337","https://openalex.org/W1999478155","https://openalex.org/W2017814585","https://openalex.org/W2030346542","https://openalex.org/W2032293070","https://openalex.org/W2051179318","https://openalex.org/W2077493928","https://openalex.org/W2081293863","https://openalex.org/W2081432165","https://openalex.org/W2085411191","https://openalex.org/W2090518410","https://openalex.org/W2095073396","https://openalex.org/W2095844239","https://openalex.org/W2098883970","https://openalex.org/W2100588357","https://openalex.org/W2101309634","https://openalex.org/W2103163130","https://openalex.org/W2103897297","https://openalex.org/W2104125540","https://openalex.org/W2110764733","https://openalex.org/W2111868822","https://openalex.org/W2113137767","https://openalex.org/W2120419212","https://openalex.org/W2123126017","https://openalex.org/W2125310925","https://openalex.org/W2131743987","https://openalex.org/W2141364309","https://openalex.org/W2142406598","https://openalex.org/W2143516773","https://openalex.org/W2143884379","https://openalex.org/W2145607950","https://openalex.org/W2153423793","https://openalex.org/W2157035885","https://openalex.org/W2158305599","https://openalex.org/W2162915993","https://openalex.org/W2186222003","https://openalex.org/W2213271652","https://openalex.org/W2534523274","https://openalex.org/W2536208356","https://openalex.org/W2544953446","https://openalex.org/W2611042444","https://openalex.org/W4236965008","https://openalex.org/W4240153047","https://openalex.org/W4244914727","https://openalex.org/W4301319056","https://openalex.org/W4301409532","https://openalex.org/W6630825005","https://openalex.org/W6658504666","https://openalex.org/W6671159763","https://openalex.org/W6675696854","https://openalex.org/W6678258377","https://openalex.org/W6680735884","https://openalex.org/W6680820202","https://openalex.org/W6682855966","https://openalex.org/W6728867342"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W4362604364"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":28},{"year":2016,"cited_by_count":40},{"year":2015,"cited_by_count":41},{"year":2014,"cited_by_count":35},{"year":2013,"cited_by_count":15}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2016-06-24T00:00:00"}
