{"id":"https://openalex.org/W3164814841","doi":"https://doi.org/10.1145/3474085.3475623","title":"Attention-guided Temporally Coherent Video Object Matting","display_name":"Attention-guided Temporally Coherent Video Object Matting","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3164814841","doi":"https://doi.org/10.1145/3474085.3475623","mag":"3164814841"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.11427","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083332446","display_name":"Yunke Zhang","orcid":"https://orcid.org/0000-0001-7993-0216"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunke Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342213","display_name":"Chi Wang","orcid":"https://orcid.org/0000-0002-4751-8187"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564882","display_name":"Miaomiao Cui","orcid":"https://orcid.org/0000-0001-5546-3967"},"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":"Miaomiao Cui","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081147881","display_name":"Peiran Ren","orcid":"https://orcid.org/0000-0002-9111-055X"},"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":"Peiran Ren","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101763148","display_name":"Xuansong Xie","orcid":"https://orcid.org/0000-0002-3671-799X"},"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":"Xuansong Xie","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"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":"Xian-Sheng Hua","raw_affiliation_strings":["Damo Academy, Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Damo Academy, Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hujun Bao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056540212","display_name":"Qixing Huang","orcid":"https://orcid.org/0000-0001-6365-8051"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qixing Huang","raw_affiliation_strings":["The University of Texas at Austin, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin, Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101844049","display_name":"Weiwei Xu","orcid":"https://orcid.org/0000-0002-3239-0483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Xu","raw_affiliation_strings":["Zhejiang Unviersity, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Unviersity, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5083332446"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.1315,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.89211269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5128","last_page":"5137"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9993000030517578,"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":0.8517844676971436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7869960069656372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6917556524276733},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6672800183296204},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5341569185256958},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5287282466888428},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48703986406326294},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4731539189815521},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.47132304310798645},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4466804563999176},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.434057354927063},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43348559737205505},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4000720977783203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34619608521461487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517844676971436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7869960069656372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6917556524276733},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6672800183296204},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5341569185256958},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5287282466888428},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48703986406326294},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4731539189815521},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.47132304310798645},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4466804563999176},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.434057354927063},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43348559737205505},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4000720977783203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34619608521461487},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3474085.3475623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2105.11427","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.11427","pdf_url":"https://arxiv.org/pdf/2105.11427","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.11427","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.11427","pdf_url":"https://arxiv.org/pdf/2105.11427","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W106417640","https://openalex.org/W1536434015","https://openalex.org/W1584479017","https://openalex.org/W1597727245","https://openalex.org/W1967268147","https://openalex.org/W1973919408","https://openalex.org/W2007640671","https://openalex.org/W2014127963","https://openalex.org/W2020368789","https://openalex.org/W2040369854","https://openalex.org/W2072072265","https://openalex.org/W2077604257","https://openalex.org/W2098926517","https://openalex.org/W2099291654","https://openalex.org/W2103334940","https://openalex.org/W2103917701","https://openalex.org/W2108598243","https://openalex.org/W2114716088","https://openalex.org/W2126369166","https://openalex.org/W2134839354","https://openalex.org/W2145038268","https://openalex.org/W2157887643","https://openalex.org/W2167897892","https://openalex.org/W2171626031","https://openalex.org/W2183341477","https://openalex.org/W2201561931","https://openalex.org/W2293194425","https://openalex.org/W2293703294","https://openalex.org/W2295475768","https://openalex.org/W2334997961","https://openalex.org/W2470139095","https://openalex.org/W2519398256","https://openalex.org/W2520247582","https://openalex.org/W2560662850","https://openalex.org/W2604469346","https://openalex.org/W2736851683","https://openalex.org/W2752782242","https://openalex.org/W2799166040","https://openalex.org/W2811296358","https://openalex.org/W2886787375","https://openalex.org/W2886934227","https://openalex.org/W2895340641","https://openalex.org/W2914038017","https://openalex.org/W2916797271","https://openalex.org/W2933875464","https://openalex.org/W2948070565","https://openalex.org/W2952148331","https://openalex.org/W2955058313","https://openalex.org/W2955340181","https://openalex.org/W2962826264","https://openalex.org/W2963091558","https://openalex.org/W2963304750","https://openalex.org/W2963403868","https://openalex.org/W2963659778","https://openalex.org/W2963727650","https://openalex.org/W2964121744","https://openalex.org/W2965514655","https://openalex.org/W2967890649","https://openalex.org/W2972777002","https://openalex.org/W2985469567","https://openalex.org/W2989494838","https://openalex.org/W2990205821","https://openalex.org/W2997597456","https://openalex.org/W3012337735","https://openalex.org/W3034368090","https://openalex.org/W3034522851","https://openalex.org/W3035010169","https://openalex.org/W3035339581","https://openalex.org/W3048588130","https://openalex.org/W3094664776","https://openalex.org/W3108035910","https://openalex.org/W3109301572","https://openalex.org/W3109908659","https://openalex.org/W3113175154","https://openalex.org/W3138739557","https://openalex.org/W3176253545","https://openalex.org/W3176288137","https://openalex.org/W4234143915","https://openalex.org/W4240129525","https://openalex.org/W4241614188","https://openalex.org/W4243166962","https://openalex.org/W4248002887","https://openalex.org/W4285719527","https://openalex.org/W6635726302"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W2113666009","https://openalex.org/W1997160662"],"abstract_inverted_index":{"This":[0,37],"paper":[1],"proposes":[2],"a":[3,64,93,100,117],"novel":[4,65],"deep":[5],"learning-based":[6],"video":[7,34,77,95,108,119,129],"object":[8,96],"matting":[9,16,30,35,78,109,120],"method":[10,140],"that":[11,27,138],"can":[12,141,160],"achieve":[13],"temporally":[14],"coherent":[15],"results.":[17],"Its":[18],"key":[19],"component":[20],"is":[21,56],"an":[22],"attention-based":[23],"temporal":[24,40],"aggregation":[25],"module":[26,38],"maximizes":[28],"image":[29],"networks'":[31,113],"strength":[32],"for":[33,42,146],"networks.":[36],"computes":[39],"correlations":[41],"pixels":[43],"adjacent":[44],"to":[45,68,84],"each":[46],"other":[47],"along":[48],"the":[49,70,76,87],"time":[50],"axis":[51],"in":[52],"feature":[53],"space,":[54],"which":[55,73],"robust":[57],"against":[58],"motion":[59],"noises.":[60],"We":[61],"also":[62],"design":[63],"loss":[66],"term":[67],"train":[69],"attention":[71],"weights,":[72],"drastically":[74],"boosts":[75],"performance.":[79],"Besides,":[80],"we":[81,115],"show":[82,137],"how":[83],"effectively":[85],"solve":[86],"trimap":[88,111],"generation":[89,112],"problem":[90],"by":[91],"fine-tuning":[92],"state-of-the-art":[94],"segmentation":[97],"network":[98],"with":[99,122,131],"sparse":[101],"set":[102],"of":[103],"user-annotated":[104],"keyframes.":[105],"To":[106],"facilitate":[107],"and":[110,125,153,158],"training,":[114],"construct":[116],"large-scale":[118],"dataset":[121,159],"80":[123],"training":[124],"28":[126],"validation":[127],"foreground":[128],"clips":[130],"ground-truth":[132],"alpha":[133,144],"mattes.":[134],"Experimental":[135],"results":[136],"our":[139],"generate":[142],"high-quality":[143],"mattes":[145],"various":[147],"videos":[148],"featuring":[149],"appearance":[150],"change,":[151],"occlusion,":[152],"fast":[154],"motion.":[155],"Our":[156],"code":[157],"be":[161],"found":[162],"at:":[163],"https://github.com/yunkezhang/TCVOM":[164]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}