{"id":"https://openalex.org/W4407466877","doi":"https://doi.org/10.1109/dicta63115.2024.00023","title":"DeepIcon: A Hierarchical Network for Layer-Wise Icon Vectorization","display_name":"DeepIcon: A Hierarchical Network for Layer-Wise Icon Vectorization","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4407466877","doi":"https://doi.org/10.1109/dicta63115.2024.00023"},"language":"en","primary_location":{"id":"doi:10.1109/dicta63115.2024.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta63115.2024.00023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5101991551","display_name":"Bing Qi","orcid":"https://orcid.org/0000-0002-9244-0374"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Qi Bing","raw_affiliation_strings":["School of Computer Science, The University of Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028902668","display_name":"Chaoyi Zhang","orcid":"https://orcid.org/0009-0000-1494-975X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chaoyi Zhang","raw_affiliation_strings":["School of Computer Science, The University of Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076697411","display_name":"Weidong Cai","orcid":"https://orcid.org/0000-0003-3706-8896"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weidong Cai","raw_affiliation_strings":["School of Computer Science, The University of Sydney,NSW,Australia,2006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney,NSW,Australia,2006","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101991551"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":0.324,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69620672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9854999780654907,"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/T10862","display_name":"AI in cancer detection","score":0.9854999780654907,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9749000072479248,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9435999989509583,"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/vectorization","display_name":"Vectorization (mathematics)","score":0.8105455636978149},{"id":"https://openalex.org/keywords/icon","display_name":"Icon","score":0.7638157606124878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7341738939285278},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.604668378829956},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2351866364479065},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10157802700996399},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06016388535499573}],"concepts":[{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.8105455636978149},{"id":"https://openalex.org/C2778447006","wikidata":"https://www.wikidata.org/wiki/Q1156474","display_name":"Icon","level":2,"score":0.7638157606124878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7341738939285278},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.604668378829956},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2351866364479065},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10157802700996399},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06016388535499573},{"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/dicta63115.2024.00023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta63115.2024.00023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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":33,"referenced_works":["https://openalex.org/W2960053204","https://openalex.org/W2964341242","https://openalex.org/W2966583823","https://openalex.org/W3000176874","https://openalex.org/W3035035925","https://openalex.org/W3107232127","https://openalex.org/W3112646048","https://openalex.org/W3164412074","https://openalex.org/W3167389445","https://openalex.org/W3172982755","https://openalex.org/W3176465303","https://openalex.org/W3177383578","https://openalex.org/W3192835542","https://openalex.org/W4214744553","https://openalex.org/W4283329258","https://openalex.org/W4286611322","https://openalex.org/W4312457448","https://openalex.org/W4385245566","https://openalex.org/W4386065864","https://openalex.org/W4386075619","https://openalex.org/W4386076124","https://openalex.org/W4386076230","https://openalex.org/W4387667052","https://openalex.org/W4389335076","https://openalex.org/W4392904089","https://openalex.org/W4404926982","https://openalex.org/W6736562241","https://openalex.org/W6741602385","https://openalex.org/W6757817989","https://openalex.org/W6764113477","https://openalex.org/W6778883912","https://openalex.org/W6781108587","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3175319091","https://openalex.org/W4360922125","https://openalex.org/W2056060060","https://openalex.org/W2175435306","https://openalex.org/W2076882245","https://openalex.org/W220677501","https://openalex.org/W2981902742"],"abstract_inverted_index":{"In":[0],"contrast":[1],"to":[2,28],"the":[3,16,46,49,56,91,113,126],"well-established":[4],"technique":[5],"of":[6,9,18,42,48,58,66,125],"rasterization,":[7],"vectorization":[8,79],"images":[10,27],"poses":[11],"a":[12,40,75,116,122],"significant":[13],"challenge":[14],"in":[15,44],"field":[17],"computer":[19],"graphics.":[20],"Recent":[21],"learning-based":[22],"methods":[23,60],"for":[24,61,83,115],"converting":[25],"raster":[26,92,110],"vector":[29,87],"formats":[30],"frequently":[31],"suffer":[32],"from":[33,109],"incomplete":[34],"shapes,":[35],"redundant":[36],"path":[37],"prediction,":[38],"and":[39,64],"lack":[41],"accuracy":[43],"preserving":[45],"semantics":[47],"original":[50],"content.":[51],"These":[52],"shortcomings":[53],"severely":[54],"hinder":[55],"utility":[57],"these":[59,70],"further":[62],"editing":[63],"manipulation":[65],"images.":[67],"To":[68],"address":[69],"challenges,":[71],"we":[72],"present":[73],"DeepIcon,":[74],"novel":[76],"hierarchical":[77],"image":[78,93,127],"network":[80],"specifically":[81],"tailored":[82],"generating":[84],"variable-length":[85],"icon":[86],"graphics":[88],"based":[89],"on":[90],"input.":[94],"Our":[95],"experimental":[96],"results":[97],"indicate":[98],"that":[99],"DeepIcon":[100],"can":[101],"efficiently":[102],"produce":[103],"Scalable":[104],"Vector":[105],"Graphics":[106],"(SVGs)":[107],"directly":[108],"images,":[111],"bypassing":[112],"need":[114],"differentiable":[117],"rasterizer":[118],"while":[119],"also":[120],"demonstrating":[121],"profound":[123],"understanding":[124],"contents.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
