{"id":"https://openalex.org/W2963057320","doi":"https://doi.org/10.1109/cvpr.2019.00344","title":"Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling","display_name":"Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2963057320","doi":"https://doi.org/10.1109/cvpr.2019.00344","mag":"2963057320"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00344","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.03375","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020501435","display_name":"Jiancheng Yang","orcid":"https://orcid.org/0000-0003-4455-7145"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Yang","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381999","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0003-3776-9799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016360933","display_name":"Linguo Li","orcid":"https://orcid.org/0000-0002-5676-7636"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linguo Li","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101470754","display_name":"Jinxian Liu","orcid":"https://orcid.org/0000-0002-4162-4528"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxian Liu","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102334168","display_name":"Mengdie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"funder","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengdie Zhou","raw_affiliation_strings":["MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111504451","display_name":"Qi Tian","orcid":"https://orcid.org/0009-0003-2676-5300"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Noahs Ark Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Noahs Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.543,"has_fulltext":false,"cited_by_count":395,"citation_normalized_percentile":{"value":0.999886,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3318","last_page":"3327"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9987,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9981,"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/gumbel-distribution","display_name":"Gumbel distribution","score":0.7251144},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.554951}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7284724},{"id":"https://openalex.org/C137610916","wikidata":"https://www.wikidata.org/wiki/Q1096862","display_name":"Gumbel distribution","level":3,"score":0.7251144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545062},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.554951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490067},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46912766},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42651218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4214344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38984618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37942353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34873414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.24900362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19958651},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.121046096},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00344","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1904.03375","pdf_url":"https://arxiv.org/pdf/1904.03375","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/1904.03375","pdf_url":"https://arxiv.org/pdf/1904.03375","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":60,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1644641054","https://openalex.org/W1646152356","https://openalex.org/W1902237438","https://openalex.org/W1920022804","https://openalex.org/W1959608418","https://openalex.org/W2016574277","https://openalex.org/W2095705004","https://openalex.org/W2133564696","https://openalex.org/W2155027007","https://openalex.org/W2194775991","https://openalex.org/W2242818861","https://openalex.org/W2460657278","https://openalex.org/W2531409750","https://openalex.org/W2547875792","https://openalex.org/W2548228487","https://openalex.org/W2549139847","https://openalex.org/W2558748708","https://openalex.org/W2560609797","https://openalex.org/W2613904329","https://openalex.org/W2745933219","https://openalex.org/W2767119328","https://openalex.org/W2778955544","https://openalex.org/W2785934082","https://openalex.org/W2787434568","https://openalex.org/W2788158258","https://openalex.org/W2798270772","https://openalex.org/W2798777114","https://openalex.org/W2894585861","https://openalex.org/W2896457183","https://openalex.org/W2899771611","https://openalex.org/W2902302021","https://openalex.org/W2917809001","https://openalex.org/W2950178297","https://openalex.org/W2951755740","https://openalex.org/W2962731536","https://openalex.org/W2962928871","https://openalex.org/W2962938888","https://openalex.org/W2963053547","https://openalex.org/W2963121255","https://openalex.org/W2963125010","https://openalex.org/W2963281829","https://openalex.org/W2963285578","https://openalex.org/W2963341956","https://openalex.org/W2963403868","https://openalex.org/W2963517242","https://openalex.org/W2963719584","https://openalex.org/W2963727135","https://openalex.org/W2963858333","https://openalex.org/W2964069537","https://openalex.org/W2964121744","https://openalex.org/W2964265128","https://openalex.org/W2964308564","https://openalex.org/W2979750740","https://openalex.org/W3104141662","https://openalex.org/W4250482878","https://openalex.org/W4295262505","https://openalex.org/W4297733535","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4210771670","https://openalex.org/W3121924949","https://openalex.org/W2951988075","https://openalex.org/W2392757156","https://openalex.org/W2270643620","https://openalex.org/W2115040659","https://openalex.org/W2083778309","https://openalex.org/W1982454386","https://openalex.org/W1570428685","https://openalex.org/W1498453022"],"abstract_inverted_index":{"Geometric":[0],"deep":[1],"learning":[2],"is":[3,24],"increasingly":[4],"important":[5],"thanks":[6],"to":[7,26,44,54,77,103,173],"the":[8,15,21,28,46,70,87,139,146,160],"popularity":[9],"of":[10,81,108,145,164],"3D":[11],"sensors.":[12],"Inspired":[13],"by":[14],"recent":[16],"advances":[17],"in":[18,120,128,135],"NLP":[19],"domain,":[20],"self-attention":[22],"transformer":[23],"introduced":[25],"consume":[27],"point":[29,179],"clouds.":[30],"We":[31,50],"develop":[32],"Point":[33,75],"Attention":[34,42],"Transformers":[35],"(PATs),":[36],"using":[37],"a":[38,105,116,124,136,142,170,183],"parameter-efficient":[39],"Group":[40],"Shuffle":[41],"(GSA)":[43],"replace":[45],"costly":[47],"Multi-Head":[48],"Attention.":[49],"demonstrate":[51],"its":[52,60],"ability":[53],"process":[55,174],"size-varying":[56],"inputs,":[57],"and":[58,94,123,156,162,181],"prove":[59],"permutation":[61],"equivariance.":[62],"Besides,":[63],"prior":[64],"work":[65],"uses":[66],"heuristics":[67],"dependence":[68],"on":[69,154,186],"input":[71,82,109,147],"data":[72],"(e.g.,":[73],"Furthest":[74],"Sampling)":[76],"hierarchically":[78],"select":[79,104],"subsets":[80,134],"points.":[83,110],"Thereby,":[84],"we":[85,168],"for":[86],"first":[88],"time":[89],"propose":[90,169],"an":[91],"end-to-end":[92],"learnable":[93],"task-agnostic":[95],"sampling":[96],"operation,":[97],"named":[98],"Gumbel":[99],"Subset":[100],"Sampling":[101],"(GSS),":[102],"representative":[106,133],"subset":[107,119,127],"Equipped":[111],"with":[112,149],"Gumbel-Softmax,":[113],"it":[114],"produces":[115],"\"soft\"":[117],"continuous":[118],"training":[121],"phase,":[122],"\"hard\"":[125],"discrete":[126],"test":[129],"phase.":[130],"By":[131],"selecting":[132],"hierarchical":[137],"fashion,":[138],"networks":[140],"learn":[141],"stronger":[143],"representation":[144],"sets":[148],"lower":[150],"computation":[151],"cost.":[152],"Experiments":[153],"classification":[155],"segmentation":[157],"benchmarks":[158],"show":[159],"effectiveness":[161],"efficiency":[163],"our":[165],"methods.":[166],"Furthermore,":[167],"novel":[171],"application,":[172],"event":[175],"camera":[176],"stream":[177],"as":[178],"clouds,":[180],"achieve":[182],"state-of-the-art":[184],"performance":[185],"DVS128":[187],"Gesture":[188],"Dataset.":[189]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2963057320","counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":68},{"year":2022,"cited_by_count":90},{"year":2021,"cited_by_count":97},{"year":2020,"cited_by_count":50},{"year":2019,"cited_by_count":10}],"updated_date":"2025-04-24T04:31:10.352988","created_date":"2019-07-30"}