{"id":"https://openalex.org/W2963109677","doi":"https://doi.org/10.1145/3267347","title":"ALIGNet","display_name":"ALIGNet","publication_year":2018,"publication_date":"2018-12-14","ids":{"openalex":"https://openalex.org/W2963109677","doi":"https://doi.org/10.1145/3267347","mag":"2963109677"},"language":"en","primary_location":{"id":"doi:10.1145/3267347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267347","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5009881746","display_name":"Rana Hanocka","orcid":"https://orcid.org/0000-0003-3214-3703"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Rana Hanocka","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042130063","display_name":"Noa Fish","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Noa Fish","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075028809","display_name":"Zhenhua Wang","orcid":"https://orcid.org/0000-0002-6902-1059"},"institutions":[{"id":"https://openalex.org/I121297525","display_name":"Hebrew College","ror":"https://ror.org/05y3p3k12","country_code":"US","type":"education","lineage":["https://openalex.org/I121297525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhua Wang","raw_affiliation_strings":["Hebrew University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebrew University","institution_ids":["https://openalex.org/I121297525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072571599","display_name":"Raja Giryes","orcid":"https://orcid.org/0000-0002-2830-0297"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Raja Giryes","raw_affiliation_strings":["Tel Aviv University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041744005","display_name":"Shachar Fleishman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158342","display_name":"Intel (United Kingdom)","ror":"https://ror.org/058cxws58","country_code":"GB","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210158342"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shachar Fleishman","raw_affiliation_strings":["Intel Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Corporation","institution_ids":["https://openalex.org/I4210158342"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Tel Aviv University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.1929,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99784533,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"38","issue":"1","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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":0.9980999827384949,"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":0.7234112024307251},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.579404354095459},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5672030448913574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5652132034301758},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4817371666431427},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.464931458234787},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.46125754714012146},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.41309329867362976},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38534122705459595},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34872162342071533},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17925891280174255},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.17142173647880554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1688321828842163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7234112024307251},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.579404354095459},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5672030448913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5652132034301758},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4817371666431427},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.464931458234787},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.46125754714012146},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.41309329867362976},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38534122705459595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34872162342071533},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17925891280174255},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.17142173647880554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1688321828842163},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3267347","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267347","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W586437679","https://openalex.org/W603908379","https://openalex.org/W764651262","https://openalex.org/W1506859583","https://openalex.org/W1573751879","https://openalex.org/W1772650917","https://openalex.org/W1869500417","https://openalex.org/W1996187920","https://openalex.org/W2003940193","https://openalex.org/W2049981393","https://openalex.org/W2057175746","https://openalex.org/W2064499898","https://openalex.org/W2071730188","https://openalex.org/W2085261163","https://openalex.org/W2096619076","https://openalex.org/W2099256741","https://openalex.org/W2116801532","https://openalex.org/W2119851068","https://openalex.org/W2124141313","https://openalex.org/W2128409098","https://openalex.org/W2134236847","https://openalex.org/W2148821982","https://openalex.org/W2150190641","https://openalex.org/W2165414070","https://openalex.org/W2190691619","https://openalex.org/W2300779272","https://openalex.org/W2331128040","https://openalex.org/W2412002662","https://openalex.org/W2435623039","https://openalex.org/W2519308720","https://openalex.org/W2566265240","https://openalex.org/W2617941226","https://openalex.org/W2619703608","https://openalex.org/W2737260104","https://openalex.org/W2949634581","https://openalex.org/W2950747644","https://openalex.org/W2950974964","https://openalex.org/W2951309005","https://openalex.org/W2952080583","https://openalex.org/W2963502507","https://openalex.org/W4237162356","https://openalex.org/W4245773085"],"related_works":["https://openalex.org/W2002305436","https://openalex.org/W1834774708","https://openalex.org/W2073434808","https://openalex.org/W2080394263","https://openalex.org/W2212089300","https://openalex.org/W2046777610","https://openalex.org/W2022623718","https://openalex.org/W2153885248","https://openalex.org/W2796288088","https://openalex.org/W340093191"],"abstract_inverted_index":{"The":[0],"process":[1],"of":[2,6,97,110,165,176,247],"aligning":[3],"a":[4,9,29,73,82,105,173,183],"pair":[5],"shapes":[7,115,119,133,141,167,221],"is":[8,89,127,223,234],"fundamental":[10],"operation":[11],"in":[12,63,168],"computer":[13],"graphics.":[14],"Traditional":[15],"approaches":[16],"rely":[17],"heavily":[18],"on":[19,72,107,260],"matching":[20],"corresponding":[21],"points":[22],"or":[23,252],"features":[24],"to":[25,80,91,129,134,157,181,199,217,225,256],"guide":[26],"the":[27,64,95,108,139,147,155,162,166,177,231,243],"alignment,":[28],"paradigm":[30],"that":[31,88,214,239],"falters":[32],"when":[33,230],"significant":[34],"shape":[35,49,78,92,111,179,233,248],"portions":[36],"are":[37],"missing.":[38],"These":[39],"techniques":[40],"generally":[41],"do":[42],"not":[43],"incorporate":[44],"prior":[45,84],"knowledge":[46],"about":[47],"expected":[48,178,245],"characteristics,":[50],"which":[51,182],"can":[52],"help":[53],"compensate":[54],"for":[55,85,101,120,154],"any":[56],"misleading":[57],"cues":[58],"left":[59],"by":[60],"inaccuracies":[61],"exhibited":[62],"input":[65],"shapes.":[66],"We":[67,152,189,212,237],"present":[68],"an":[69,193],"approach":[70,185],"based":[71],"deep":[74],"neural":[75],"network,":[76,123],"leveraging":[77],"datasets":[79],"learn":[81],"shape-aware":[83],"source-to-target":[86],"alignment":[87,112,148],"robust":[90],"incompleteness.":[93],"In":[94],"absence":[96],"ground":[98],"truth":[99],"alignments":[100],"supervision,":[102],"we":[103],"train":[104],"network":[106,156,241],"task":[109],"using":[113],"incomplete":[114,135],"generated":[116],"from":[117],"full":[118],"self-supervision.":[121],"Our":[122],"called":[124],"ALIGNet":[125,191,215],",":[126],"trained":[128],"warp":[130],"complete":[131],"source":[132],"targets,":[136],"as":[137],"if":[138],"target":[140,232],"were":[142],"complete,":[143],"thus":[144],"essentially":[145],"rendering":[146],"partial-shape":[149,207],"agnostic":[150],".":[151],"aim":[153],"develop":[158],"specialized":[159],"expertise":[160],"over":[161],"common":[163,244],"characteristics":[164,246],"each":[169],"dataset,":[170],"thereby":[171],"achieving":[172],"higher-level":[174],"understanding":[175],"space":[180],"local":[184],"would":[186],"be":[187],"oblivious.":[188],"constrain":[190],"through":[192],"anisotropic":[194],"total":[195],"variation":[196],"identity":[197],"regularization":[198],"promote":[200],"piecewise":[201],"smooth":[202],"deformation":[203],"fields,":[204],"facilitating":[205],"both":[206],"agnosticism":[208],"and":[209,222],"post-deformation":[210],"applications.":[211],"demonstrate":[213],"learns":[216,242],"align":[218],"geometrically":[219],"distinct":[220],"able":[224],"infer":[226],"plausible":[227,258],"mappings":[228],"even":[229],"significantly":[235],"incomplete.":[236],"show":[238],"our":[240],"collections":[249],"without":[250],"over-fitting":[251],"memorization,":[253],"enabling":[254],"it":[255],"produce":[257],"deformations":[259],"unseen":[261],"data":[262],"during":[263],"test":[264],"time.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":62},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2019-07-30T00:00:00"}
