{"id":"https://openalex.org/W4386066073","doi":"https://doi.org/10.1109/cvpr52729.2023.01697","title":"PointListNet: Deep Learning on 3D Point Lists","display_name":"PointListNet: Deep Learning on 3D Point Lists","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386066073","doi":"https://doi.org/10.1109/cvpr52729.2023.01697"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5002207978","display_name":"Hehe Fan","orcid":"https://orcid.org/0000-0001-9572-2345"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":true,"raw_author_name":"Hehe Fan","raw_affiliation_strings":["Zhejiang University","National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043617790","display_name":"Linchao Zhu","orcid":"https://orcid.org/0000-0002-4093-7557"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linchao Zhu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005421447","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0002-0512-880X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016415049","display_name":"Mohan Kankanhalli","orcid":"https://orcid.org/0000-0002-4846-2015"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Mohan Kankanhalli","raw_affiliation_strings":["National University of Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002207978"],"corresponding_institution_ids":["https://openalex.org/I165932596","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33892713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"17692","last_page":"17701"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9815000295639038,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9753999710083008,"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":0.6916559934616089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6072201728820801},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5577818155288696},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5437374114990234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5100327134132385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48142334818840027},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4711899757385254},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4512641727924347},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4398183226585388},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4293597340583801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35638630390167236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2559870481491089}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6916559934616089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072201728820801},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5577818155288696},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5437374114990234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5100327134132385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48142334818840027},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4711899757385254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4512641727924347},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4398183226585388},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4293597340583801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35638630390167236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2559870481491089},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1832693441","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2085277871","https://openalex.org/W2194775991","https://openalex.org/W2555618208","https://openalex.org/W2587019100","https://openalex.org/W2594519801","https://openalex.org/W2606202972","https://openalex.org/W2615066396","https://openalex.org/W2618530766","https://openalex.org/W2739455021","https://openalex.org/W2784883284","https://openalex.org/W2792764867","https://openalex.org/W2896457183","https://openalex.org/W2909727437","https://openalex.org/W2946693349","https://openalex.org/W2957874522","https://openalex.org/W2963091558","https://openalex.org/W2963231572","https://openalex.org/W2963616829","https://openalex.org/W2963680153","https://openalex.org/W2964015378","https://openalex.org/W2964110616","https://openalex.org/W2966590054","https://openalex.org/W2970597249","https://openalex.org/W2979750740","https://openalex.org/W2980789587","https://openalex.org/W2988715931","https://openalex.org/W2990613095","https://openalex.org/W2999481648","https://openalex.org/W3005407385","https://openalex.org/W3030520226","https://openalex.org/W3034885317","https://openalex.org/W3081836708","https://openalex.org/W3094502228","https://openalex.org/W3097217077","https://openalex.org/W3111535274","https://openalex.org/W3121781769","https://openalex.org/W3153465022","https://openalex.org/W3164046276","https://openalex.org/W3168718178","https://openalex.org/W3201554595","https://openalex.org/W4200474852","https://openalex.org/W4214755140","https://openalex.org/W4221160819","https://openalex.org/W4281478251","https://openalex.org/W4281614398","https://openalex.org/W4285723986","https://openalex.org/W4288049158","https://openalex.org/W4299838440","https://openalex.org/W4313145913","https://openalex.org/W4365444089","https://openalex.org/W4382451063","https://openalex.org/W4382465451","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6742632731","https://openalex.org/W6745537798","https://openalex.org/W6755207826","https://openalex.org/W6758485811","https://openalex.org/W6763701032","https://openalex.org/W6765474767","https://openalex.org/W6775298725","https://openalex.org/W6778485988","https://openalex.org/W6782527804","https://openalex.org/W6784333009","https://openalex.org/W6789365080","https://openalex.org/W6801917964","https://openalex.org/W6805495842","https://openalex.org/W6809758778","https://openalex.org/W6810249204"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W4375867731","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065","https://openalex.org/W2349179172"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"on":[3,154,181],"regular":[4,33,71],"1D":[5,170],"lists":[6,96],"(e.g.,":[7,14],"natural":[8,24],"languages)":[9],"and":[10,31,75,83,97,159,172,185],"irregular":[11,50,76],"3D":[12,77,94,173],"sets":[13],"point":[15,39,51,95],"clouds)":[16],"have":[17],"made":[18],"tremendous":[19],"achievements.":[20],"The":[21],"key":[22],"to":[23,28,45,91,102,156],"language":[25],"processing":[26],"is":[27,44,116],"model":[29,103,163],"words":[30],"their":[32],"order":[34,171],"dependency":[35],"in":[36,53,137],"texts.":[37],"For":[38],"cloud":[40],"understanding,":[41],"the":[42,47,117,121,138,144,169,192,195],"challenge":[43],"understand":[46],"geometry":[48],"via":[49],"coordinates,":[52],"which":[54],"point-feeding":[55],"orders":[56],"do":[57],"not":[58,161],"matter.":[59],"However,":[60],"there":[61],"are":[62,135],"a":[63,99,150],"few":[64],"kinds":[65],"of":[66,120,194],"data":[67],"that":[68,125,147],"exhibit":[69],"both":[70],"1":[72],"D":[73],"list":[74],"set":[78],"structures,":[79],"such":[80],"as":[81,93],"proteins":[82],"non-coding":[84],"RNAs.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89,112],"refer":[90],"them":[92],"propose":[98],"Transformer-style":[100],"PointListNet":[101,106,167],"them.":[104],"First,":[105],"employs":[107],"non-parametric":[108],"distance-based":[109],"attention":[110],"because":[111],"find":[113],"sometimes":[114],"it":[115],"distance,":[118],"instead":[119],"feature":[122],"or":[123],"type,":[124],"mainly":[126],"determines":[127],"how":[128],"much":[129],"two":[130],"points,":[131],"e.g.,":[132],"amino":[133],"acids,":[134],"correlated":[136],"micro":[139],"world.":[140],"Second,":[141],"different":[142],"from":[143],"vanilla":[145],"Transformer":[146],"directly":[148],"performs":[149],"simple":[151],"linear":[152],"transformation":[153],"inputs":[155],"generate":[157],"values":[158],"does":[160],"explicitly":[162],"relative":[164],"relations,":[165],"our":[166],"integrates":[168],"Euclidean":[174],"displacements":[175],"into":[176],"values.":[177],"We":[178],"conduct":[179],"experiments":[180],"protein":[182],"fold":[183],"classification":[184],"enzyme":[186],"reaction":[187],"classification.":[188],"Experimental":[189],"results":[190],"show":[191],"effectiveness":[193],"proposed":[196],"PointListNet.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
