{"id":"https://openalex.org/W2951798807","doi":"https://doi.org/10.1109/mcg.2018.2881523","title":"Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning","display_name":"Flow Field Reduction Via Reconstructing Vector Data From 3-D Streamlines Using Deep Learning","publication_year":2019,"publication_date":"2019-06-18","ids":{"openalex":"https://openalex.org/W2951798807","doi":"https://doi.org/10.1109/mcg.2018.2881523","mag":"2951798807","pmid":"https://pubmed.ncbi.nlm.nih.gov/31226060"},"language":"en","primary_location":{"id":"doi:10.1109/mcg.2018.2881523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2018.2881523","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5073124436","display_name":"Jun Han","orcid":"https://orcid.org/0000-0002-7286-062X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Han","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829011","display_name":"Jun Tao","orcid":"https://orcid.org/0000-0003-4247-3490"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Tao","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074718306","display_name":"Hao Zheng","orcid":"https://orcid.org/0000-0002-9790-7607"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Zheng","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054749881","display_name":"Hanqi Guo","orcid":"https://orcid.org/0000-0001-7776-1834"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanqi Guo","raw_affiliation_strings":["Argonne National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060901632","display_name":"Danny Z. Chen","orcid":"https://orcid.org/0000-0001-6565-2884"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danny Z. Chen","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101913449","display_name":"Chaoli Wang","orcid":"https://orcid.org/0000-0002-0859-3619"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chaoli Wang","raw_affiliation_strings":["University of Notre Dame"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2995,"currency":"USD","value_usd":2995},"apc_paid":null,"fwci":3.0891,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.92527709,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"39","issue":"4","first_page":"54","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/streamlines-streaklines-and-pathlines","display_name":"Streamlines, streaklines, and pathlines","score":0.9800150394439697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403395771980286},{"id":"https://openalex.org/keywords/isosurface","display_name":"Isosurface","score":0.6954813003540039},{"id":"https://openalex.org/keywords/vector-field","display_name":"Vector field","score":0.6564363241195679},{"id":"https://openalex.org/keywords/vector-flow","display_name":"Vector flow","score":0.5896003246307373},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5857038497924805},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5252541899681091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.511725902557373},{"id":"https://openalex.org/keywords/euclidean-vector","display_name":"Euclidean vector","score":0.5111520886421204},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5059630274772644},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46685487031936646},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4623251259326935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35950490832328796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33404994010925293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15594112873077393},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.085614413022995},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.08515390753746033},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0766882598400116},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.075127512216568}],"concepts":[{"id":"https://openalex.org/C60439489","wikidata":"https://www.wikidata.org/wiki/Q634407","display_name":"Streamlines, streaklines, and pathlines","level":2,"score":0.9800150394439697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403395771980286},{"id":"https://openalex.org/C45107383","wikidata":"https://www.wikidata.org/wiki/Q1311829","display_name":"Isosurface","level":3,"score":0.6954813003540039},{"id":"https://openalex.org/C91188154","wikidata":"https://www.wikidata.org/wiki/Q186247","display_name":"Vector field","level":2,"score":0.6564363241195679},{"id":"https://openalex.org/C20749125","wikidata":"https://www.wikidata.org/wiki/Q7917826","display_name":"Vector flow","level":4,"score":0.5896003246307373},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5857038497924805},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5252541899681091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.511725902557373},{"id":"https://openalex.org/C118965365","wikidata":"https://www.wikidata.org/wiki/Q44528","display_name":"Euclidean vector","level":2,"score":0.5111520886421204},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5059630274772644},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46685487031936646},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4623251259326935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35950490832328796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33404994010925293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15594112873077393},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.085614413022995},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.08515390753746033},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0766882598400116},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.075127512216568},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/mcg.2018.2881523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mcg.2018.2881523","pdf_url":null,"source":{"id":"https://openalex.org/S105380075","display_name":"IEEE Computer Graphics and Applications","issn_l":"0272-1716","issn":["0272-1716","1558-1756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Graphics and Applications","raw_type":"journal-article"},{"id":"pmid:31226060","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31226060","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE computer graphics and applications","raw_type":"Journal Article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-142348","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-142348","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G102163711","display_name":null,"funder_award_id":"DE\u2010 AC02\u201006CH11357","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1916524690","display_name":null,"funder_award_id":"DUE-1833129","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G2818552058","display_name":null,"funder_award_id":"CCF-1617735","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G3450567287","display_name":null,"funder_award_id":"IIS-1455886","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G5129848219","display_name":null,"funder_award_id":"CNS-1629914","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1665214252","https://openalex.org/W1885185971","https://openalex.org/W1919542679","https://openalex.org/W2003292177","https://openalex.org/W2052440657","https://openalex.org/W2100794976","https://openalex.org/W2106160885","https://openalex.org/W2126565921","https://openalex.org/W2137197875","https://openalex.org/W2151412512","https://openalex.org/W2194775991","https://openalex.org/W2486202470","https://openalex.org/W2557414982","https://openalex.org/W2738588019","https://openalex.org/W2794996660","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W2964121744","https://openalex.org/W6637242042","https://openalex.org/W6675878783"],"related_works":["https://openalex.org/W2766557744","https://openalex.org/W4300003913","https://openalex.org/W1957230037","https://openalex.org/W650226188","https://openalex.org/W1980337333","https://openalex.org/W1989778331","https://openalex.org/W2951798807","https://openalex.org/W2164419793","https://openalex.org/W2034149378","https://openalex.org/W1578997343"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,61,83],"new":[3],"approach":[4,59],"for":[5,36,47,65],"streamline-based":[6],"flow":[7,120],"field":[8,67],"representation":[9],"and":[10,32,81,101,108,125],"reduction.":[11],"Our":[12],"method":[13,64,111,116],"can":[14,42],"work":[15],"in":[16,18,121],"the":[17,30,55,71,75,93,113],"situ":[19],"visualization":[20],"setting":[21],"by":[22],"tracing":[23],"streamlines":[24,35,72],"from":[25,74],"each":[26],"time":[27,46],"step":[28],"of":[29,57,95,117,123],"simulation":[31],"storing":[33],"compressed":[34],"post":[37],"hoc":[38],"analysis":[39],"where":[40],"users":[41],"afford":[43],"longer":[44],"reconstruction":[45,49,68],"higher":[48],"quality":[50,126],"using":[51],"decompressed":[52],"streamlines.":[53],"At":[54],"heart":[56],"our":[58,96,110],"is":[60],"deep":[62],"learning":[63],"vector":[66,77,89,119],"that":[69],"takes":[70],"traced":[73],"original":[76],"fields":[78],"as":[79],"input":[80],"applies":[82],"two-stage":[84],"process":[85],"to":[86],"reconstruct":[87],"high-quality":[88],"fields.":[90],"To":[91],"demonstrate":[92],"effectiveness":[94],"approach,":[97],"we":[98],"show":[99],"qualitative":[100],"quantitative":[102],"results":[103],"with":[104],"several":[105],"data":[106],"sets":[107],"compare":[109],"against":[112],"de":[114],"facto":[115],"gradient":[118],"terms":[122],"speed":[124],"tradeoff.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2019-06-27T00:00:00"}
