{"id":"https://openalex.org/W4225096495","doi":"https://doi.org/10.1145/3491101.3519718","title":"NeurTEx: A Neural Framework for Template Extraction from Flat Images","display_name":"NeurTEx: A Neural Framework for Template Extraction from Flat Images","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225096495","doi":"https://doi.org/10.1145/3491101.3519718"},"language":"en","primary_location":{"id":"doi:10.1145/3491101.3519718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491101.3519718","pdf_url":null,"source":{"id":"https://openalex.org/S4363607762","display_name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","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":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","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/A5011535633","display_name":"Vinay Aggarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vinay Aggarwal","raw_affiliation_strings":["Google, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086111928","display_name":"Praneetha Vaddamanu","orcid":"https://orcid.org/0000-0003-4894-9517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Praneetha Vaddamanu","raw_affiliation_strings":["Adobe Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085015139","display_name":"Bhanu Prakash Reddy Guda","orcid":"https://orcid.org/0000-0003-1073-0472"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhanu Prakash Reddy Guda","raw_affiliation_strings":["Computer Science, Carnegie Mellon University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Carnegie Mellon University, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059650977","display_name":"B. Srinivasan","orcid":"https://orcid.org/0000-0002-3118-5779"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balaji Vasan Srinivasan","raw_affiliation_strings":["Adobe Research, Adobe Systems, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, Adobe Systems, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004920788","display_name":"Niyati Chhaya","orcid":"https://orcid.org/0000-0002-3586-7240"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niyati Chhaya","raw_affiliation_strings":["Adobe Research, Adobe Systems, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, Adobe Systems, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022536276","display_name":"Vishwa Vinay","orcid":"https://orcid.org/0000-0002-4043-9953"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vishwa Vinay","raw_affiliation_strings":["Adobe Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3353,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45789567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9861000180244446,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7841202020645142},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6678271293640137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6090407967567444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502737283706665},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4507026672363281},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38022303581237793},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3690890073776245},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3510066270828247},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12855985760688782}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7841202020645142},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6678271293640137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6090407967567444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502737283706665},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4507026672363281},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38022303581237793},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3690890073776245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3510066270828247},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12855985760688782}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491101.3519718","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491101.3519718","pdf_url":null,"source":{"id":"https://openalex.org/S4363607762","display_name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","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":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","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":29,"referenced_works":["https://openalex.org/W1745334888","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2031039904","https://openalex.org/W2077532029","https://openalex.org/W2079479194","https://openalex.org/W2096238640","https://openalex.org/W2098578495","https://openalex.org/W2104707377","https://openalex.org/W2108598243","https://openalex.org/W2143842970","https://openalex.org/W2563705555","https://openalex.org/W2567959389","https://openalex.org/W2570343428","https://openalex.org/W2574981201","https://openalex.org/W2769805767","https://openalex.org/W2889198729","https://openalex.org/W2915733448","https://openalex.org/W2962724148","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963881378","https://openalex.org/W2963889819","https://openalex.org/W2970569803","https://openalex.org/W3003496674","https://openalex.org/W3129086776","https://openalex.org/W4206521641","https://openalex.org/W4299436053"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W4312417841"],"abstract_inverted_index":{"With":[0,166],"the":[1,33,91,150,167,180,183,188,205],"increasing":[2],"demands":[3],"of":[4,169,182],"digital":[5],"creation,":[6],"a":[7,56,60,68,108,113,154],"creative":[8],"user":[9],"often":[10],"starts":[11],"by":[12,44,112],"looking":[13],"for":[14,35,153,163],"inspirational":[15,50,74,195],"resources":[16],"online.":[17],"Once":[18],"they":[19,23],"find":[20],"such":[21,135,145],"inspirations,":[22],"recreate":[24],"certain":[25],"design":[26,34,82,151,191],"elements":[27,86,95,123],"using":[28,59],"tracing-like":[29],"applications":[30],"to":[31,40,118,131,186],"internalize":[32],"their":[36,125,164],"purpose.":[37],"We":[38,65,127,142],"aim":[39],"accelerate":[41,149,204],"this":[42],"process":[43,128,152,207],"extracting":[45],"key":[46],"semantics":[47,97,147],"from":[48,161,193],"an":[49,73,194],"image,":[51],"and":[52,79,100,103,120,124,140,171,211],"converting":[53],"it":[54],"into":[55],"ready-to-use":[57],"template":[58],"multimodal":[61,81],"information":[62],"extraction":[63],"setup.":[64],"propose":[66],"NeurTEx,":[67],"holistic":[69],"algorithm":[70],"that":[71,144],"takes":[72],"banner":[75],"image":[76,94,196],"as":[77,136],"input":[78],"extracts":[80],"semantics:":[83],"layout,":[84],"text":[85,88],"(actual":[87],"along":[89],"with":[90],"font":[92,137],"style),":[93],"(including":[96],"like":[98],"logos":[99],"background/foreground":[101],"objects)":[102],"shapes.":[104],"Our":[105],"technique":[106],"uses":[107],"segmentation":[109],"framework":[110],"followed":[111],"region":[114],"based":[115,174],"depth-first":[116],"search":[117],"extract":[119,132,187],"identify":[121],"different":[122],"semantics.":[126],"these":[129,201],"regions":[130],"finer":[133],"details":[134],"styles,":[138],"texts":[139],"logos.":[141],"believe":[143],"fine\u2013grained":[146],"would":[148],"creator":[155],"helping":[156],"them":[157],"rapidly":[158],"adapt":[159],"designs":[160],"inspirations":[162],"requirements.":[165],"help":[168],"metric-based":[170],"human":[172],"survey":[173],"evaluations,":[175],"we":[176],"not":[177],"only":[178],"demonstrate":[179],"effectiveness":[181],"proposed":[184],"approach":[185],"style":[189],"&":[190],"components":[192],"but":[197],"also":[198],"illustrate":[199],"how":[200],"extractions":[202],"can":[203],"creation":[206],"thus":[208],"aiding":[209],"novices":[210],"professionals":[212],"alike.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}