{"id":"https://openalex.org/W1923813961","doi":"https://doi.org/10.1109/cvpr.2015.7298785","title":"GRSA: Generalized range swap algorithm for the efficient optimization of MRFs","display_name":"GRSA: Generalized range swap algorithm for the efficient optimization of MRFs","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1923813961","doi":"https://doi.org/10.1109/cvpr.2015.7298785","mag":"1923813961"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7298785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5077210450","display_name":"Kangwei Liu","orcid":"https://orcid.org/0009-0006-2807-6199"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangwei Liu","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109302996","display_name":"Junge Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junge Zhang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101813778","display_name":"Peipei Yang","orcid":"https://orcid.org/0000-0002-1106-7062"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Yang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028693655","display_name":"Kaiqi Huang","orcid":"https://orcid.org/0000-0002-2677-9273"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqi Huang","raw_affiliation_strings":["Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China"],"affiliations":[{"raw_affiliation_string":"Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077210450"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73741248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1761","last_page":"1769"},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.991599977016449,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.991100013256073,"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/submodular-set-function","display_name":"Submodular set function","score":0.8526366949081421},{"id":"https://openalex.org/keywords/swap","display_name":"Swap (finance)","score":0.7045820951461792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6545411348342896},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5517253875732422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5417329668998718},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5160260200500488},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.49663597345352173},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.49144256114959717},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4817212224006653},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4776512384414673},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4745909869670868},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.41412627696990967},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3327580988407135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.285805881023407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13645696640014648},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.08385777473449707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08132171630859375}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.8526366949081421},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.7045820951461792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545411348342896},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5517253875732422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5417329668998718},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5160260200500488},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.49663597345352173},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.49144256114959717},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4817212224006653},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4776512384414673},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4745909869670868},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.41412627696990967},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3327580988407135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.285805881023407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13645696640014648},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.08385777473449707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08132171630859375},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2015.7298785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7298785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W10769007","https://openalex.org/W79315950","https://openalex.org/W1554544485","https://openalex.org/W1585450072","https://openalex.org/W1969665089","https://openalex.org/W1970424853","https://openalex.org/W1996540180","https://openalex.org/W1997530236","https://openalex.org/W2013652529","https://openalex.org/W2031723295","https://openalex.org/W2040747066","https://openalex.org/W2051925299","https://openalex.org/W2082165536","https://openalex.org/W2101309634","https://openalex.org/W2106809923","https://openalex.org/W2107884096","https://openalex.org/W2137117160","https://openalex.org/W2140502500","https://openalex.org/W2143516773","https://openalex.org/W2143996311","https://openalex.org/W2144652879","https://openalex.org/W2146036075","https://openalex.org/W2146807782","https://openalex.org/W2153396823","https://openalex.org/W2162366888","https://openalex.org/W2164918853","https://openalex.org/W2167008042","https://openalex.org/W2169282664","https://openalex.org/W2169551590","https://openalex.org/W6633362792","https://openalex.org/W6635116231","https://openalex.org/W6676044923"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W1608444752","https://openalex.org/W2950365512","https://openalex.org/W3204684126","https://openalex.org/W2062310236","https://openalex.org/W3013568067","https://openalex.org/W4299354108"],"abstract_inverted_index":{"Markov":[0],"Random":[1],"Field":[2],"(MRF)":[3],"is":[4,22,138],"an":[5],"important":[6],"tool":[7],"and":[8,30,95],"has":[9],"been":[10],"widely":[11],"used":[12],"in":[13,66,131],"many":[14],"vision":[15],"tasks.":[16],"Thus,":[17],"the":[18,35,43,55,67,115,120,128,136,141,148,151,160,163,173,183,195,200,205],"optimization":[19,110],"of":[20,25,42,57,69,111,159,175,197],"MRFs":[21],"a":[23,102,156,188,208],"problem":[24],"fundamental":[26],"importance.":[27],"Recently,":[28],"Veskler":[29],"Kumar":[31],"et.":[32],"al":[33],"propose":[34,101],"range":[36,59,104,168,178,213],"move":[37,60,133,169],"algorithms,":[38,215],"which":[39,171,192],"are":[40,64],"one":[41],"most":[44],"successful":[45],"solvers":[46],"to":[47,83,88,122,145],"this":[48,98],"problem.":[49],"However,":[50],"two":[51],"problems":[52],"have":[53],"limited":[54,65],"applicability":[56],"previous":[58,167,212],"algorithms:":[61],"1)":[62],"They":[63],"types":[68],"energies":[70,125],"they":[71],"can":[72],"handle":[73],"(i.e.":[74],"only":[75],"truncated":[76],"convex":[77],"functions);":[78],"2)":[79],"These":[80],"algorithms":[81,92,170],"tend":[82],"be":[84],"very":[85],"slow":[86],"compared":[87],"other":[89],"graph-cut":[90],"based":[91],"(e.g.":[93],"\u03b1-expansion":[94],"\u03b1\u03b2-swap).":[96],"In":[97],"paper,":[99],"we":[100,118,154,180],"generalized":[103],"swap":[105,214],"algorithm":[106],"(GRSA)":[107],"for":[108],"efficient":[109],"MRFs.":[112],"To":[113],"address":[114],"first":[116],"problem,":[117,165,191],"extend":[119],"GRSA":[121,206],"arbitrary":[123],"semimetric":[124],"by":[126,186],"restricting":[127],"chosen":[129,142],"labels":[130,149],"each":[132],"so":[134],"that":[135,204],"energy":[137],"submodular":[139,152],"on":[140],"subset.":[143],"Furthermore,":[144],"feasibly":[146],"choose":[147],"satisfying":[150],"condition,":[153],"provide":[155],"sufficient":[157],"condition":[158],"submodularity.":[161],"For":[162],"second":[164],"unlike":[166],"execute":[172],"set":[174,189],"all":[176],"possible":[177],"moves,":[179],"dynamically":[181],"obtain":[182],"iterative":[184],"moves":[185,198],"solving":[187],"cover":[190],"greatly":[193],"reduces":[194],"number":[196],"during":[199],"optimization.":[201],"Experiments":[202],"show":[203],"offers":[207],"great":[209],"speedup":[210],"over":[211],"while":[216],"it":[217],"obtains":[218],"competitive":[219],"solutions.":[220]},"counts_by_year":[{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
