{"id":"https://openalex.org/W2891201469","doi":"https://doi.org/10.1145/3240508.3240610","title":"Semantic Human Matting","display_name":"Semantic Human Matting","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2891201469","doi":"https://doi.org/10.1145/3240508.3240610","mag":"2891201469"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5100377840","display_name":"Quan Chen","orcid":"https://orcid.org/0000-0001-5832-0347"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quan Chen","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027308029","display_name":"Tiezheng Ge","orcid":"https://orcid.org/0000-0003-1381-2692"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiezheng Ge","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036903821","display_name":"Yanyu Xu","orcid":"https://orcid.org/0000-0001-8926-7833"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyu Xu","raw_affiliation_strings":["Alibaba Group & ShanghaiTech University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group & ShanghaiTech University, Beijing, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019348755","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0002-2408-366X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072322540","display_name":"Xinxin Yang","orcid":"https://orcid.org/0000-0003-4464-6922"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Yang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062939922","display_name":"Kun Gai","orcid":"https://orcid.org/0000-0002-3636-3618"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Gai","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100377840"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":6.7898,"has_fulltext":false,"cited_by_count":153,"citation_normalized_percentile":{"value":0.97664098,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"618","last_page":"626"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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":0.841092586517334},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.7599942088127136},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5980049967765808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935211181640625},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46344804763793945},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.461072713136673},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4175075888633728},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4135141670703888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.841092586517334},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7599942088127136},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5980049967765808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935211181640625},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46344804763793945},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.461072713136673},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4175075888633728},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4135141670703888},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1597727245","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2007640671","https://openalex.org/W2035773017","https://openalex.org/W2077604257","https://openalex.org/W2103917701","https://openalex.org/W2109815552","https://openalex.org/W2136922672","https://openalex.org/W2142771691","https://openalex.org/W2160956336","https://openalex.org/W2169040970","https://openalex.org/W2194775991","https://openalex.org/W2286929393","https://openalex.org/W2293703294","https://openalex.org/W2295475768","https://openalex.org/W2412782625","https://openalex.org/W2518810941","https://openalex.org/W2520247582","https://openalex.org/W2560023338","https://openalex.org/W2598666589","https://openalex.org/W2740994353","https://openalex.org/W2899771611","https://openalex.org/W2951459820","https://openalex.org/W2963304750","https://openalex.org/W4241614188","https://openalex.org/W4285719527","https://openalex.org/W6635726302"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2094012830","https://openalex.org/W187246281","https://openalex.org/W2079194830"],"abstract_inverted_index":{"Human":[0,82],"matting,":[1],"high":[2,98,140],"quality":[3,99,141],"extraction":[4],"of":[5,16,60,128,144,154,164],"humans":[6],"from":[7,72],"natural":[8],"images,":[9],"is":[10,22,85,114],"crucial":[11],"for":[12],"a":[13,118,125,135],"wide":[14],"variety":[15],"applications.":[17],"Since":[18],"the":[19,86,129,150],"matting":[20,79,176],"problem":[21],"severely":[23],"under-constrained,":[24],"most":[25],"previous":[26],"methods":[27],"require":[28],"user":[29,33,63],"interactions":[30],"to":[31,46,49,91,148],"take":[32],"designated":[34],"trimaps":[35],"or":[36,53],"scribbles":[37],"as":[38],"constraints.":[39],"This":[40],"user-in-the-loop":[41],"nature":[42],"makes":[43],"them":[44],"difficult":[45],"be":[47],"applied":[48],"large":[50,137],"scale":[51],"data":[52,73],"time-sensitive":[54],"scenarios.":[55],"In":[56,104],"this":[57,160],"paper,":[58],"instead":[59],"using":[61],"explicit":[62],"input":[64],"constraints,":[65],"we":[66],"employ":[67],"implicit":[68],"semantic":[69,95],"constraints":[70],"learned":[71],"and":[74,97,111,152,162],"propose":[75,117],"an":[76],"automatic":[77],"human":[78,155],"algorithm":[80,88],"Semantic":[81],"Matting(SHM).":[83],"SHM":[84,169],"first":[87],"that":[89,168],"learns":[90],"jointly":[92],"fit":[93],"both":[94,108],"information":[96],"details":[100,113],"with":[101,139,173],"deep":[102],"networks.":[103],"practice,":[105],"simultaneously":[106],"learning":[107,151],"coarse":[109],"semantics":[110],"fine":[112],"challenging.":[115],"We":[116,132],"novel":[119],"fusion":[120],"strategy":[121],"which":[122],"naturally":[123],"gives":[124],"probabilistic":[126],"estimation":[127],"alpha":[130],"matte.":[131],"also":[133],"construct":[134],"very":[136],"dataset":[138,161],"annotations":[142],"consisting":[143],"35,513":[145],"unique":[146],"foregrounds":[147],"facilitate":[149],"evaluation":[153],"matting.":[156],"Extensive":[157],"experiments":[158],"on":[159],"plenty":[163],"real":[165],"images":[166],"show":[167],"achieves":[170],"comparable":[171],"results":[172],"state-of-the-art":[174],"interactive":[175],"methods.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}