{"id":"https://openalex.org/W2773685806","doi":"https://doi.org/10.1109/iecon.2017.8217241","title":"L&lt;inf&gt;p&lt;/inf&gt;-TV model for structure extraction with end-to-end contour learning","display_name":"L&lt;inf&gt;p&lt;/inf&gt;-TV model for structure extraction with end-to-end contour learning","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773685806","doi":"https://doi.org/10.1109/iecon.2017.8217241","mag":"2773685806"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2017.8217241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8217241","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102438019","display_name":"Chunwei Song","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunwei Song","raw_affiliation_strings":["Dept. Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019290302","display_name":"Baraka Maiseli","orcid":"https://orcid.org/0000-0002-7551-0107"},"institutions":[{"id":"https://openalex.org/I182078086","display_name":"University of Dar es Salaam","ror":"https://ror.org/0479aed98","country_code":"TZ","type":"education","lineage":["https://openalex.org/I182078086"]}],"countries":["TZ"],"is_corresponding":false,"raw_author_name":"Baraka Maiseli","raw_affiliation_strings":["Dept. Electronics and Telecommunication Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Electronics and Telecommunication Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania","institution_ids":["https://openalex.org/I182078086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636655","display_name":"Wangmeng Zuo","orcid":"https://orcid.org/0000-0002-3330-783X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmeng Zuo","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036684787","display_name":"Huijun Gao","orcid":"https://orcid.org/0000-0001-5554-5452"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijun Gao","raw_affiliation_strings":["Dept. Control Science and Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Control Science and Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"7097","last_page":"7102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.6798954010009766},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6299440264701843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6102953553199768},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5825833082199097},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4915097653865814},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48401233553886414},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.45765671133995056},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4429129660129547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4392774999141693},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.4346930682659149},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4261268675327301},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4231891334056854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4183327853679657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36409103870391846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798954010009766},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6299440264701843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6102953553199768},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5825833082199097},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4915097653865814},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48401233553886414},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.45765671133995056},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4429129660129547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4392774999141693},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.4346930682659149},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4261268675327301},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4231891334056854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4183327853679657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36409103870391846},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2017.8217241","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2017.8217241","pdf_url":null,"source":{"id":"https://openalex.org/S4363608531","display_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society","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":44,"referenced_works":["https://openalex.org/W123840135","https://openalex.org/W168460524","https://openalex.org/W845365781","https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1976047850","https://openalex.org/W1978333359","https://openalex.org/W1979369422","https://openalex.org/W1990336127","https://openalex.org/W2020461703","https://openalex.org/W2040378863","https://openalex.org/W2061052400","https://openalex.org/W2078718577","https://openalex.org/W2080794127","https://openalex.org/W2096768337","https://openalex.org/W2102605133","https://openalex.org/W2103559027","https://openalex.org/W2111854674","https://openalex.org/W2125188192","https://openalex.org/W2135046866","https://openalex.org/W2136064009","https://openalex.org/W2141957843","https://openalex.org/W2147298660","https://openalex.org/W2154571593","https://openalex.org/W2163605009","https://openalex.org/W2231495490","https://openalex.org/W2300687442","https://openalex.org/W2964121744","https://openalex.org/W2996868574","https://openalex.org/W3012080241","https://openalex.org/W4206733017","https://openalex.org/W4247043502","https://openalex.org/W4254515627","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640295612","https://openalex.org/W6670285114","https://openalex.org/W6681807782","https://openalex.org/W6684191040","https://openalex.org/W6689586722"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W3008587939"],"abstract_inverted_index":{"Structure":[0],"extraction":[1],"is":[2,88],"important":[3],"for":[4,8,61,90],"human":[5],"perception.":[6],"However,":[7],"various":[9],"textured":[10],"images,":[11],"computers":[12],"can":[13],"hardly":[14],"achieve":[15],"this":[16],"goal.":[17],"Despite":[18],"a":[19,46,100],"plethora":[20],"of":[21,63,114],"studies":[22],"to":[23,39],"address":[24,40],"the":[25,41,109,115],"challenge,":[26],"results":[27],"from":[28],"most":[29],"previous":[30],"methods":[31],"contain":[32],"unwanted":[33],"artifacts":[34],"and":[35,74],"over-smoothed":[36],"structures.":[37],"Therefore,":[38],"weaknesses,":[42],"we":[43],"have":[44,111],"proposed":[45],"variational":[47],"model":[48],"with":[49,77,94],"end-to-end":[50],"contour":[51],"learning":[52],"capability.":[53],"Our":[54],"formulation":[55],"dwells":[56],"in":[57,103],"two":[58],"observations:":[59],"likelihood":[60],"representation":[62],"residual":[64],"textures":[65],"may":[66,80],"be":[67],"well":[68],"abstracted":[69],"using":[70],"super":[71],"Gaussian":[72],"distribution,":[73],"edge":[75],"metrics":[76],"semantic":[78],"meaning":[79],"benefit":[81],"structure":[82,104],"preservation.":[83],"The":[84],"augmented":[85],"Lagrangian":[86],"method":[87,98],"adopted":[89],"optimal":[91],"computation.":[92],"Compared":[93],"classical":[95],"approaches,":[96],"our":[97],"offers":[99],"higher":[101],"performance":[102],"extraction,":[105],"including":[106],"situations":[107],"where":[108],"images":[110],"significant":[112],"nonuniformity":[113],"scale":[116],"features.":[117]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
