{"id":"https://openalex.org/W1919681008","doi":"https://doi.org/10.1109/cvpr.2015.7299072","title":"Object-based RGBD image co-segmentation with mutex constraint","display_name":"Object-based RGBD image co-segmentation with mutex constraint","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1919681008","doi":"https://doi.org/10.1109/cvpr.2015.7299072","mag":"1919681008"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299072","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/A5010970485","display_name":"Huazhu Fu","orcid":"https://orcid.org/0000-0002-9702-5524"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Huazhu Fu","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082181536","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0003-2775-9730"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore","School of Computer Engineering, Nanyang Technological University,,Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University,,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102863526","display_name":"Stephen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Stephen Lin","raw_affiliation_strings":["Microsoft Research, Beijing, China","Microsoft Research, , Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft Research, , Beijing, China","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325209","display_name":"Jiang Liu","orcid":"https://orcid.org/0000-0001-6281-6505"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiang Liu","raw_affiliation_strings":["Agency for Science, Institute for Infocomm Research, Singapore","Institute for Infocomm Research, Agency for Science Technology & Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Agency for Science, Institute for Infocomm Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]},{"raw_affiliation_string":"Institute for Infocomm Research, Agency for Science Technology & Research, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010970485"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":10.4821,"has_fulltext":false,"cited_by_count":109,"citation_normalized_percentile":{"value":0.98826079,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4428","last_page":"4436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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":0.9988999962806702,"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":0.9958999752998352,"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":0.8020758628845215},{"id":"https://openalex.org/keywords/semaphore","display_name":"Semaphore","score":0.7954846620559692},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7763938903808594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7550245523452759},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.726063072681427},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5851060152053833},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5652909874916077},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5643904209136963},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47458672523498535},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4644510746002197},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4348348379135132},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.42332789301872253},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.39739909768104553}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8020758628845215},{"id":"https://openalex.org/C95203288","wikidata":"https://www.wikidata.org/wiki/Q221682","display_name":"Semaphore","level":2,"score":0.7954846620559692},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7763938903808594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7550245523452759},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.726063072681427},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5851060152053833},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5652909874916077},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5643904209136963},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47458672523498535},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4644510746002197},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4348348379135132},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.42332789301872253},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.39739909768104553},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2015.7299072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299072","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.926.9177","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.926.9177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Object-Based_RGBD_Image_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W125693051","https://openalex.org/W261873710","https://openalex.org/W1497443722","https://openalex.org/W1565402342","https://openalex.org/W1966025376","https://openalex.org/W1970899458","https://openalex.org/W1972630525","https://openalex.org/W1986342589","https://openalex.org/W1991367009","https://openalex.org/W1992992668","https://openalex.org/W1993713494","https://openalex.org/W1996140089","https://openalex.org/W2008428344","https://openalex.org/W2028590536","https://openalex.org/W2035784046","https://openalex.org/W2039313011","https://openalex.org/W2046382188","https://openalex.org/W2047670868","https://openalex.org/W2054241314","https://openalex.org/W2061035601","https://openalex.org/W2074142320","https://openalex.org/W2074254947","https://openalex.org/W2074753351","https://openalex.org/W2086052791","https://openalex.org/W2088049833","https://openalex.org/W2114542651","https://openalex.org/W2117242571","https://openalex.org/W2118557299","https://openalex.org/W2118802082","https://openalex.org/W2153760331","https://openalex.org/W2156222070","https://openalex.org/W2156252543","https://openalex.org/W2157244733","https://openalex.org/W2160847065","https://openalex.org/W2161969291","https://openalex.org/W2295160225","https://openalex.org/W2403333215","https://openalex.org/W6600857173","https://openalex.org/W6605121731","https://openalex.org/W6629803754","https://openalex.org/W6633727509","https://openalex.org/W6642933618","https://openalex.org/W6648922525","https://openalex.org/W6652558303","https://openalex.org/W6657426485","https://openalex.org/W6676966869","https://openalex.org/W6683228778","https://openalex.org/W6683555033","https://openalex.org/W6697517374","https://openalex.org/W6713597174"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2371519352"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2,116],"object-based":[3,106],"co-segmentation":[4,86,108,118,138],"method":[5,32,130],"that":[6,98,104,128],"takes":[7],"advantage":[8],"of":[9,40,56],"depth":[10,35,145],"data":[11],"and":[12,59],"is":[13,26],"able":[14],"to":[15,37,53,135],"correctly":[16],"handle":[17],"noisy":[18,71,123],"images":[19,72,143],"in":[20,87],"which":[21],"the":[22,34,74],"common":[23,75],"foreground":[24,42],"object":[25,76],"missing.":[27],"With":[28],"RGBD":[29,47,107,117],"images,":[30],"our":[31],"utilizes":[33],"channel":[36],"enhance":[38],"identification":[39],"similar":[41],"objects":[43],"via":[44],"a":[45,88],"proposed":[46],"co-saliency":[48],"map,":[49],"as":[50,52],"well":[51],"improve":[54],"detection":[55],"object-like":[57],"regions":[58],"provide":[60],"depth-based":[61],"local":[62],"features":[63],"for":[64],"region":[65],"comparison.":[66],"To":[67],"accurately":[68],"deal":[69],"with":[70,93,109,144],"where":[73],"appears":[77],"more":[78],"than":[79,82],"or":[80],"less":[81],"once,":[83],"we":[84,126],"formulate":[85],"fully-connected":[89],"graph":[90],"structure":[91],"together":[92],"mutual":[94],"exclusion":[95],"(mutex)":[96],"constraints":[97,111],"prevent":[99],"improper":[100],"solutions.":[101],"Experiments":[102],"show":[103,127],"this":[105,129],"mutex":[110],"outperforms":[112],"related":[113],"techniques":[114,139],"on":[115,140],"dataset,":[119],"while":[120],"effectively":[121],"processing":[122],"images.":[124],"Moreover,":[125],"also":[131],"provides":[132],"performance":[133],"comparable":[134],"state-of-the-art":[136],"RGB":[137,142],"regular":[141],"maps":[146],"estimated":[147],"from":[148],"them.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
