{"id":"https://openalex.org/W2978785976","doi":"https://doi.org/10.1109/ijcnn.2019.8852391","title":"Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation","display_name":"Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978785976","doi":"https://doi.org/10.1109/ijcnn.2019.8852391","mag":"2978785976"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5006001813","display_name":"\u00c1d\u00e1m Fodor","orcid":"https://orcid.org/0000-0001-7370-930X"},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Adam Fodor","raw_affiliation_strings":["Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114020114","display_name":"\u00c1ron F\u00f3thi","orcid":null},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Aron Fothi","raw_affiliation_strings":["Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006866937","display_name":"L\u00e1szl\u00f3 Kop\u00e1csi","orcid":"https://orcid.org/0000-0003-2387-2015"},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Laszlo Kopacsi","raw_affiliation_strings":["Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016247881","display_name":"Ell\u00e1k Somfai","orcid":"https://orcid.org/0000-0002-2218-8855"},"institutions":[{"id":"https://openalex.org/I4210126225","display_name":"Wigner Research Centre for Physics","ror":"https://ror.org/035dsb084","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210126225","https://openalex.org/I4387152226"]},{"id":"https://openalex.org/I7597260","display_name":"Hungarian Academy of Sciences","ror":"https://ror.org/02ks8qq67","country_code":"HU","type":"funder","lineage":["https://openalex.org/I7597260"]},{"id":"https://openalex.org/I4210107617","display_name":"Institute for Solid State Physics and Optics","ror":"https://ror.org/01pdam362","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210107617","https://openalex.org/I4210126225","https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Ellak Somfai","raw_affiliation_strings":["Wigner Researh Centre for Physics of the Hungarian Academy of Sciences, Institute for Solid State Physics and Optics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Wigner Researh Centre for Physics of the Hungarian Academy of Sciences, Institute for Solid State Physics and Optics, Budapest, Hungary","institution_ids":["https://openalex.org/I4210126225","https://openalex.org/I7597260","https://openalex.org/I4210107617"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066832439","display_name":"Andr\u00e1s L\u00f6rincz","orcid":"https://orcid.org/0000-0002-1280-3447"},"institutions":[{"id":"https://openalex.org/I106118109","display_name":"E\u00f6tv\u00f6s Lor\u00e1nd University","ror":"https://ror.org/01jsq2704","country_code":"HU","type":"education","lineage":["https://openalex.org/I106118109"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andras Lorincz","raw_affiliation_strings":["Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Software Technology and Methodology, E\u00f6tv\u00f6s Lor\u00e1nd University, Budapest, Hungary","institution_ids":["https://openalex.org/I106118109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006001813"],"corresponding_institution_ids":["https://openalex.org/I106118109"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44488459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"169","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10638","display_name":"Optical measurement and interference techniques","score":0.9983000159263611,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skeletonization","display_name":"Skeletonization","score":0.9571747779846191},{"id":"https://openalex.org/keywords/medial-axis","display_name":"Medial axis","score":0.7533334493637085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7210881114006042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6494513750076294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5735983848571777},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.559135377407074},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5549232363700867},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.536097526550293},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5064965486526489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47359636425971985},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45400121808052063},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0640890896320343}],"concepts":[{"id":"https://openalex.org/C23951316","wikidata":"https://www.wikidata.org/wiki/Q1984140","display_name":"Skeletonization","level":2,"score":0.9571747779846191},{"id":"https://openalex.org/C185877587","wikidata":"https://www.wikidata.org/wiki/Q1757407","display_name":"Medial axis","level":2,"score":0.7533334493637085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210881114006042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6494513750076294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5735983848571777},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.559135377407074},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5549232363700867},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.536097526550293},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5064965486526489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47359636425971985},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45400121808052063},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0640890896320343},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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":40,"referenced_works":["https://openalex.org/W96629785","https://openalex.org/W764651262","https://openalex.org/W845365781","https://openalex.org/W1548953334","https://openalex.org/W1867429401","https://openalex.org/W1999478155","https://openalex.org/W2039367092","https://openalex.org/W2049378174","https://openalex.org/W2067191022","https://openalex.org/W2071346873","https://openalex.org/W2104125540","https://openalex.org/W2109125617","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2132478357","https://openalex.org/W2136242795","https://openalex.org/W2137105523","https://openalex.org/W2317884369","https://openalex.org/W2470139095","https://openalex.org/W2552778560","https://openalex.org/W2585293115","https://openalex.org/W2753182048","https://openalex.org/W2763108738","https://openalex.org/W2778803144","https://openalex.org/W2789663503","https://openalex.org/W2794847483","https://openalex.org/W2799112149","https://openalex.org/W2802440256","https://openalex.org/W2886787196","https://openalex.org/W2890853604","https://openalex.org/W2890949887","https://openalex.org/W2899464442","https://openalex.org/W2963210183","https://openalex.org/W2963760790","https://openalex.org/W2963782415","https://openalex.org/W3099866104","https://openalex.org/W4212803998","https://openalex.org/W6639126518","https://openalex.org/W6755787774"],"related_works":["https://openalex.org/W1970932056","https://openalex.org/W1984855521","https://openalex.org/W2051997380","https://openalex.org/W2011808502","https://openalex.org/W2072362562","https://openalex.org/W3150952243","https://openalex.org/W4285761029","https://openalex.org/W3204405814","https://openalex.org/W1561739522","https://openalex.org/W2001655492"],"abstract_inverted_index":{"Medial":[0],"axis":[1,27,59],"representation":[2],"(a.k.a.":[3],"shape":[4],"skeleton)":[5],"seems":[6],"to":[7,61,88],"be":[8],"present":[9],"in":[10,29],"visual":[11,66],"processing,":[12],"but":[13],"its":[14],"relevance":[15],"has":[16],"remained":[17],"unclear.":[18],"Here,":[19],"we":[20],"show":[21],"the":[22,25,30,57,70,82,85,89,93],"potentials":[23],"of":[24,33,65,72,84,92],"medial":[26,58],"transformation":[28,60],"temporal":[31,78,90],"propagation":[32,64,91],"superpixels.":[34],"We":[35,68,80],"combine":[36],"(i)":[37],"state-of-the-art":[38],"deep":[39,74],"neural":[40],"network":[41],"`sensors'":[42],"for":[43,47],"optical":[44],"flow":[45],"and":[46,50],"depth":[48],"estimation":[49],"(ii)":[51],"a":[52],"superpixel":[53,77],"algorithm":[54],"with":[55],"(iii)":[56],"obtain":[62],"frame-to-frame":[63],"objects.":[67],"study":[69],"precision":[71],"this":[73],"learning":[75],"facilitated":[76],"propagation.":[79],"discuss":[81],"advantages":[83],"method":[86],"compared":[87],"superpixels":[94],"themselves.":[95]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
