{"id":"https://openalex.org/W2026616154","doi":"https://doi.org/10.1109/icip.2013.6738882","title":"Iterative transductive learning for alpha matting","display_name":"Iterative transductive learning for alpha matting","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2026616154","doi":"https://doi.org/10.1109/icip.2013.6738882","mag":"2026616154"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5100844353","display_name":"Bei He","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bei He","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045183950","display_name":"Guijin Wang","orcid":"https://orcid.org/0000-0002-2131-3044"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijin Wang","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011045980","display_name":"Chenbo Shi","orcid":"https://orcid.org/0000-0002-9028-1437"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenbo Shi","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083479069","display_name":"Xuanwu Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanwu Yin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461675","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-6615-6601"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100298134","display_name":"Xinggang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinggang Lin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100844353"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":5.7708,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95790887,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4282","last_page":"4286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/alpha","display_name":"Alpha (finance)","score":0.6915309429168701},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6577587127685547},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.6319462060928345},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5981984734535217},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5865711569786072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5429002046585083},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4861619174480438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4600816071033478},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4469373822212219},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4281845986843109},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41460463404655457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3526553809642792},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32481658458709717},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07062754034996033}],"concepts":[{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.6915309429168701},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6577587127685547},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.6319462060928345},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5981984734535217},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5865711569786072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5429002046585083},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4861619174480438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4600816071033478},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4469373822212219},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4281845986843109},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41460463404655457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3526553809642792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32481658458709717},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07062754034996033},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":18,"referenced_works":["https://openalex.org/W26151592","https://openalex.org/W1969072032","https://openalex.org/W2007640671","https://openalex.org/W2013248395","https://openalex.org/W2022240977","https://openalex.org/W2044673646","https://openalex.org/W2077604257","https://openalex.org/W2104990616","https://openalex.org/W2109815552","https://openalex.org/W2114378523","https://openalex.org/W2136504847","https://openalex.org/W2150430720","https://openalex.org/W2157887643","https://openalex.org/W2167897892","https://openalex.org/W2296349909","https://openalex.org/W2296558186","https://openalex.org/W2541775796","https://openalex.org/W6653432334"],"related_works":["https://openalex.org/W2570009360","https://openalex.org/W3004345458","https://openalex.org/W2883186538","https://openalex.org/W2051180862","https://openalex.org/W1976439244","https://openalex.org/W2402951419","https://openalex.org/W2896947499","https://openalex.org/W4244587941","https://openalex.org/W2362501828","https://openalex.org/W4223455993"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,23,63],"propose":[4],"a":[5],"matting":[6,61],"algorithm":[7,111],"based":[8],"on":[9],"iterative":[10],"transductive":[11],"learning":[12],"(for":[13],"short:":[14],"ITM).":[15],"To":[16,58],"avoid":[17],"over-smooth":[18],"results":[19,107],"of":[20,27,35,121],"recent":[21],"methods,":[22],"introduce":[24],"the":[25,33,40,56,60,65,69,74,86,122],"influence":[26],"unlabeled":[28],"regions":[29],"as":[30,32],"well":[31],"consistency":[34],"neighboring":[36],"pixels":[37,90],"to":[38,53,79],"re-design":[39],"optimization":[41],"for":[42],"alpha":[43,71,82,94],"matting.":[44],"A":[45],"novel":[46],"asymmetric":[47,75],"Laplacian":[48,76],"matrix":[49,77],"is":[50,112],"also":[51],"proposed":[52],"further":[54],"relieve":[55],"over-smoothness.":[57],"optimize":[59],"problem,":[62],"adjust":[64],"constrain":[66],"coefficients":[67],"between":[68],"initialized":[70],"matte":[72],"and":[73],"iteratively":[78],"achieve":[80],"accurate":[81],"mattes.":[83],"Consequently,":[84],"during":[85],"iteration,":[87],"high":[88],"confidence":[89,98],"maintain":[91],"their":[92,103],"refined":[93],"values,":[95],"whereas":[96],"low":[97],"ones":[99],"are":[100],"updated":[101],"by":[102],"neighbors":[104],"gradually.":[105],"Experimental":[106],"demonstrate":[108],"that":[109],"our":[110],"more":[113],"precise":[114],"than":[115],"many":[116],"state-of-the-art":[117],"methods":[118],"in":[119],"terms":[120],"accuracy.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
