{"id":"https://openalex.org/W4310443797","doi":"https://doi.org/10.1145/3550454.3555440","title":"SHRED","display_name":"SHRED","publication_year":2022,"publication_date":"2022-11-30","ids":{"openalex":"https://openalex.org/W4310443797","doi":"https://doi.org/10.1145/3550454.3555440"},"language":"en","primary_location":{"id":"doi:10.1145/3550454.3555440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550454.3555440","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/A5001963597","display_name":"R. Kenny Jones","orcid":"https://orcid.org/0009-0005-1169-0507"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Kenny Jones","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038554984","display_name":"Aalia Habib","orcid":null},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aalia Habib","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005034184","display_name":"Daniel Ritchie","orcid":"https://orcid.org/0000-0002-8253-0069"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Ritchie","raw_affiliation_strings":["Brown University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brown University","institution_ids":["https://openalex.org/I175594653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I175594653"],"apc_list":null,"apc_paid":null,"fwci":1.1111,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.72937661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"41","issue":"6","first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9965000152587891,"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"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9857000112533569,"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/computer-science","display_name":"Computer science","score":0.792606770992279},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7578680515289307},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6824445724487305},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6777202486991882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5732356309890747},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5576594471931458},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5256881713867188},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.42289096117019653},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4225209355354309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41884058713912964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35468950867652893},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.10671111941337585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792606770992279},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7578680515289307},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6824445724487305},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6777202486991882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5732356309890747},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5576594471931458},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5256881713867188},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.42289096117019653},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4225209355354309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41884058713912964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35468950867652893},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.10671111941337585},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3550454.3555440","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3550454.3555440","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":[{"id":"https://openalex.org/G642498168","display_name":"CAREER: Learning Neurosymbolic 3D Models","funder_award_id":"1941808","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1983687767","https://openalex.org/W2025175430","https://openalex.org/W2557269700","https://openalex.org/W2961368225","https://openalex.org/W2962759414","https://openalex.org/W2963281829","https://openalex.org/W2981010689","https://openalex.org/W2981657250","https://openalex.org/W2982710913","https://openalex.org/W2986139246","https://openalex.org/W2989673842","https://openalex.org/W3034577798","https://openalex.org/W3034652543","https://openalex.org/W3035163517","https://openalex.org/W3035739565","https://openalex.org/W3110047846","https://openalex.org/W3116959466","https://openalex.org/W3169120894","https://openalex.org/W3170409640","https://openalex.org/W3173636389","https://openalex.org/W3180125285","https://openalex.org/W3180251767","https://openalex.org/W3207250840","https://openalex.org/W4205947292","https://openalex.org/W4235375376","https://openalex.org/W4242177601","https://openalex.org/W4254739549","https://openalex.org/W4312602860","https://openalex.org/W4320476914","https://openalex.org/W6600577311"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2140186469","https://openalex.org/W2377919138","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W2562256921","https://openalex.org/W2743738614"],"abstract_inverted_index":{"We":[0,32,68],"present":[1],"SHRED,":[2],"a":[3,12,25],"method":[4],"for":[5,62,109],"3D":[6,13],"SHape":[7],"REgion":[8],"Decomposition.":[9],"SHRED":[10,34,57,72,85,106],"takes":[11],"point":[14],"cloud":[15],"as":[16],"input":[17],"and":[18,46,54,70,121],"uses":[19],"learned":[20],"local":[21],"operations":[22],"to":[23,58,132],"produce":[24],"segmentation":[26,120,125],"that":[27,84,88,105,130],"approximates":[28],"fine-grained":[29,74,117],"part":[30,118],"instances.":[31],"endow":[33],"with":[35,73,94,128],"three":[36],"decomposition":[37,100],"operations:":[38],"splitting":[39],"regions,":[40,45],"fixing":[41],"the":[42],"boundaries":[43],"between":[44],"merging":[47],"regions":[48],"together.":[49],"Modules":[50],"are":[51],"trained":[52],"independently":[53],"locally,":[55],"allowing":[56],"generate":[59],"high-quality":[60],"segmentations":[61,75,87],"categories":[63],"not":[64],"seen":[65],"during":[66],"training.":[67],"train":[69],"evaluate":[71],"from":[76],"PartNet;":[77],"using":[78],"its":[79],"merge-threshold":[80],"hyperparameter,":[81],"we":[82,103],"show":[83],"produces":[86],"better":[89],"respect":[90],"ground-truth":[91],"annotations":[92],"compared":[93],"baseline":[95],"methods,":[96],"at":[97],"any":[98],"desired":[99],"granularity.":[101],"Finally,":[102],"demonstrate":[104],"is":[107],"useful":[108],"downstream":[110],"applications,":[111],"out-performing":[112],"all":[113],"baselines":[114],"on":[115],"zero-shot":[116],"instance":[119],"few-shot":[122],"finegrained":[123],"semantic":[124],"when":[126],"combined":[127],"methods":[129],"learn":[131],"label":[133],"shape":[134],"regions.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-12-10T00:00:00"}