{"id":"https://openalex.org/W4308090477","doi":"https://doi.org/10.1109/hpec55821.2022.9926359","title":"Fast Graph Algorithms for Superpixel Segmentation","display_name":"Fast Graph Algorithms for Superpixel Segmentation","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4308090477","doi":"https://doi.org/10.1109/hpec55821.2022.9926359"},"language":"en","primary_location":{"id":"doi:10.1109/hpec55821.2022.9926359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5048072353","display_name":"Dimitris Floros","orcid":"https://orcid.org/0000-0003-1190-4075"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Dimitris Floros","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece,54124"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece,54124","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428719","display_name":"Tiancheng Liu","orcid":"https://orcid.org/0000-0002-0880-6266"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiancheng Liu","raw_affiliation_strings":["Duke University,Department of Computer Science,Durham,NC,USA,27708"],"affiliations":[{"raw_affiliation_string":"Duke University,Department of Computer Science,Durham,NC,USA,27708","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011222189","display_name":"Nikos Pitsianis","orcid":"https://orcid.org/0000-0002-7353-3524"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR","US"],"is_corresponding":false,"raw_author_name":"Nikos Pitsianis","raw_affiliation_strings":["Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece,54124","Department of Computer Science, Duke University, Durham, NC, USA"],"affiliations":[{"raw_affiliation_string":"Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece,54124","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Department of Computer Science, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109590825","display_name":"Xiaobai Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaobai Sun","raw_affiliation_strings":["Duke University,Department of Computer Science,Durham,NC,USA,27708"],"affiliations":[{"raw_affiliation_string":"Duke University,Department of Computer Science,Durham,NC,USA,27708","institution_ids":["https://openalex.org/I170897317"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048072353"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49092509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9923999905586243,"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":0.7214951515197754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.704813539981842},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6197574138641357},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6051247119903564},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.591055154800415},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5505557060241699},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49328702688217163},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4931165874004364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4598155915737152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45025765895843506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3550366759300232},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13984465599060059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214951515197754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.704813539981842},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6197574138641357},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6051247119903564},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.591055154800415},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5505557060241699},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49328702688217163},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4931165874004364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4598155915737152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45025765895843506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3550366759300232},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13984465599060059},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec55821.2022.9926359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec55821.2022.9926359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W66443818","https://openalex.org/W1486646730","https://openalex.org/W1542723449","https://openalex.org/W1719407190","https://openalex.org/W1938976761","https://openalex.org/W2040956707","https://openalex.org/W2051458493","https://openalex.org/W2053186076","https://openalex.org/W2055180303","https://openalex.org/W2055611119","https://openalex.org/W2067191022","https://openalex.org/W2085529604","https://openalex.org/W2087347434","https://openalex.org/W2095293504","https://openalex.org/W2104125540","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2121947440","https://openalex.org/W2131681506","https://openalex.org/W2135431554","https://openalex.org/W2140000690","https://openalex.org/W2148953571","https://openalex.org/W2151936673","https://openalex.org/W2158427031","https://openalex.org/W2165835468","https://openalex.org/W2293105860","https://openalex.org/W2294602567","https://openalex.org/W2529099292","https://openalex.org/W2592677135","https://openalex.org/W2612271937","https://openalex.org/W2734938207","https://openalex.org/W2798380924","https://openalex.org/W2804865177","https://openalex.org/W2897249806","https://openalex.org/W2903509608","https://openalex.org/W3035241330","https://openalex.org/W3099768174","https://openalex.org/W3106188259","https://openalex.org/W4200311818","https://openalex.org/W4301045096","https://openalex.org/W4388112841","https://openalex.org/W6631539730","https://openalex.org/W6637131181","https://openalex.org/W6640464587"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W1522196789","https://openalex.org/W2084942241"],"abstract_inverted_index":{"We":[0,85],"introduce":[1],"the":[2,56,60,98,108,121,133,137],"novel":[3],"graph-based":[4,126],"algorithm":[5],"SLAM":[6,50,96,118],"(simultaneous":[7],"local":[8],"assortative":[9],"mixing)":[10],"for":[11,65,76,128],"fast":[12],"and":[13,41,47,63,73,79],"high-quality":[14],"superpixel":[15,28,102,129],"segmentation":[16],"of":[17,36,55],"any":[18],"large":[19],"color":[20],"image.":[21],"Super-pixels":[22],"are":[23,114],"compact":[24],"semantic":[25],"image":[26],"elements;":[27],"segmen-tation":[29],"is":[30],"fundamental":[31,134],"to":[32,45],"a":[33,52],"broad":[34],"range":[35],"vision":[37],"tasks":[38],"in":[39,69,101,125,136],"existing":[40],"emerging":[42],"applications,":[43],"especially,":[44],"safety-critical":[46],"time-critical":[48],"applications.":[49],"leverages":[51],"graph":[53],"representation":[54],"image,":[57],"which":[58],"encodes":[59],"pixel":[61],"features":[62],"similarities,":[64],"its":[66],"rich":[67],"potential":[68],"implicit":[70],"feature":[71,77],"transformation":[72],"extra":[74],"means":[75],"differentiation":[78],"association":[80],"at":[81,115],"multiple":[82,105],"resolution":[83],"scales.":[84],"demonstrate,":[86],"with":[87],"our":[88],"experimental":[89],"results":[90],"on":[91],"500":[92],"benchmark":[93],"images,":[94],"that":[95],"outperforms":[97],"state-of-art":[99],"algorithms":[100,127],"quality,":[103],"by":[104],"measures,":[106],"within":[107],"same":[109],"time":[110],"frame.":[111],"The":[112],"contributions":[113],"least":[116],"two-fold:":[117],"breaks":[119],"down":[120],"long-standing":[122],"speed":[123],"barriers":[124],"segmentation;":[130],"it":[131],"lifts":[132],"limitations":[135],"feature-point-based":[138],"algorithms.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
