{"id":"https://openalex.org/W4372259749","doi":"https://doi.org/10.1109/icassp49357.2023.10095473","title":"S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification","display_name":"S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372259749","doi":"https://doi.org/10.1109/icassp49357.2023.10095473"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5058947645","display_name":"Pranav Kadam","orcid":"https://orcid.org/0000-0001-7645-3506"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pranav Kadam","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114097326","display_name":"Hardik Prajapati","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hardik Prajapati","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402934","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6940-7146"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018676993","display_name":"Jintang Xue","orcid":"https://orcid.org/0009-0004-3531-8147"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jintang Xue","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0003-1847-8769"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Tencent Media Lab,Palo Alto,California,USA","Tencent Media Lab, Palo Alto, California, USA"],"affiliations":[{"raw_affiliation_string":"Tencent Media Lab,Palo Alto,California,USA","institution_ids":["https://openalex.org/I70745867"]},{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, California, USA","institution_ids":["https://openalex.org/I70745867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001082656","display_name":"C.\u2010C. Jay Kuo","orcid":"https://orcid.org/0000-0001-9474-5035"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.-C. Jay Kuo","raw_affiliation_strings":["University of Southern California,Los Angeles,California,USA","University of Southern California, Los Angeles, California, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California,Los Angeles,California,USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058947645"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.6496,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60702293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9916999936103821,"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/point-cloud","display_name":"Point cloud","score":0.8843252658843994},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.7222918272018433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7203342318534851},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.506553053855896},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.46972715854644775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4457552433013916},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35247883200645447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3432043790817261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1740977168083191},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13741761445999146}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8843252658843994},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7222918272018433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203342318534851},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.506553053855896},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.46972715854644775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4457552433013916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35247883200645447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3432043790817261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1740977168083191},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13741761445999146},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10095473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2012592962","https://openalex.org/W2889300857","https://openalex.org/W2894843516","https://openalex.org/W2962941647","https://openalex.org/W2963121255","https://openalex.org/W2964935548","https://openalex.org/W2979750740","https://openalex.org/W3012143260","https://openalex.org/W3089963494","https://openalex.org/W3091383840","https://openalex.org/W3102970498","https://openalex.org/W3117053879","https://openalex.org/W3117736484","https://openalex.org/W3138367801","https://openalex.org/W3158545781","https://openalex.org/W3176751833","https://openalex.org/W3202765742","https://openalex.org/W3203310607","https://openalex.org/W3214000333","https://openalex.org/W4206075368","https://openalex.org/W4234552385","https://openalex.org/W4235587621","https://openalex.org/W4308233812","https://openalex.org/W4309478822","https://openalex.org/W4313032336","https://openalex.org/W4313148451","https://openalex.org/W6739778489","https://openalex.org/W6763422710","https://openalex.org/W6804361632"],"related_works":["https://openalex.org/W4389574804","https://openalex.org/W2352472571","https://openalex.org/W3016928466","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W1020620338","https://openalex.org/W4297818189","https://openalex.org/W3176846432"],"abstract_inverted_index":{"Many":[0],"point":[1,12,29,39,58],"cloud":[2,59],"classification":[3,45,60],"methods":[4],"are":[5,17,41],"developed":[6],"under":[7],"the":[8,15,21,26,44,75,102,127,131],"assumption":[9],"that":[10,25],"all":[11],"clouds":[13,40],"in":[14,96],"dataset":[16,129],"well":[18],"aligned":[19],"with":[20,83,111],"canonical":[22],"axes":[23],"so":[24],"3D":[27],"Cartesian":[28],"coordinates":[30],"can":[31],"be":[32],"employed":[33],"to":[34,70],"learn":[35],"features.":[36],"When":[37],"input":[38],"not":[42],"aligned,":[43],"performance":[46],"drops":[47],"significantly.":[48],"In":[49],"this":[50],"work,":[51],"we":[52],"focus":[53],"on":[54,126],"a":[55],"mathematically":[56],"transparent":[57],"method":[61,89],"called":[62],"PointHop,":[63],"analyze":[64],"its":[65,79],"reason":[66],"for":[67],"failure":[68],"due":[69],"pose":[71,80],"variations,":[72],"and":[73],"solve":[74],"problem":[76],"by":[77],"replacing":[78],"dependent":[81],"modules":[82],"rotation":[84],"invariant":[85],"counterparts.":[86],"The":[87,116],"pro-posed":[88],"is":[90,123],"named":[91],"SO(3)-Invariant":[92],"PointHop":[93,103],"(or":[94],"S3I-PointHop":[95,134],"short).":[97],"We":[98],"also":[99],"significantly":[100],"simplify":[101],"pipeline":[104],"using":[105],"only":[106],"one":[107],"single":[108],"hop":[109],"along":[110],"multiple":[112],"spatial":[113,121],"aggregation":[114],"techniques.":[115],"idea":[117],"of":[118,133],"exploiting":[119],"more":[120],"information":[122],"novel.":[124],"Experiments":[125],"ModelNet40":[128],"demonstrate":[130],"superiority":[132],"over":[135],"traditional":[136],"PointHop-like":[137],"methods.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
