{"id":"https://openalex.org/W4229029442","doi":"https://doi.org/10.24963/ijcai.2022/168","title":"TopoSeg: Topology-aware Segmentation for Point Clouds","display_name":"TopoSeg: Topology-aware Segmentation for Point Clouds","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4229029442","doi":"https://doi.org/10.24963/ijcai.2022/168"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/168","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/168","pdf_url":"https://www.ijcai.org/proceedings/2022/0168.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0168.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066301734","display_name":"Weiquan Liu","orcid":"https://orcid.org/0000-0002-5934-1139"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiquan Liu","raw_affiliation_strings":["Xiamen University","Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033261669","display_name":"Hanyun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyun Guo","raw_affiliation_strings":["Xiamen University","Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101800339","display_name":"Weini Zhang","orcid":"https://orcid.org/0000-0003-3456-3226"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weini Zhang","raw_affiliation_strings":["Xiamen University","Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002805753","display_name":"Yu Zang","orcid":"https://orcid.org/0000-0002-7193-1414"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zang","raw_affiliation_strings":["Xiamen University","Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416961","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0001-6075-796X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Xiamen University","Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100613889","display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["University of Waterloo","Departments of Geography and Environmental Management and Systems Design Engineering, University of Waterloo, Waterloo, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Departments of Geography and Environmental Management and Systems Design Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8175,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86122449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1201","last_page":"1208"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9979000091552734,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.832224428653717},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.745314359664917},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.728871762752533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6878198385238647},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6343838572502136},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5096967220306396},{"id":"https://openalex.org/keywords/persistent-homology","display_name":"Persistent homology","score":0.4790036380290985},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4789562523365021},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4221235513687134},{"id":"https://openalex.org/keywords/computational-topology","display_name":"Computational topology","score":0.4150301218032837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3876228928565979},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3777814209461212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30800119042396545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18604004383087158},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14595061540603638}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.832224428653717},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.745314359664917},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.728871762752533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6878198385238647},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6343838572502136},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5096967220306396},{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.4790036380290985},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4789562523365021},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4221235513687134},{"id":"https://openalex.org/C181576044","wikidata":"https://www.wikidata.org/wiki/Q4129926","display_name":"Computational topology","level":3,"score":0.4150301218032837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3876228928565979},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3777814209461212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30800119042396545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18604004383087158},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14595061540603638},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C110521144","wikidata":"https://www.wikidata.org/wiki/Q193460","display_name":"Scalar field","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/168","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/168","pdf_url":"https://www.ijcai.org/proceedings/2022/0168.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/168","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/168","pdf_url":"https://www.ijcai.org/proceedings/2022/0168.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2038669466","display_name":null,"funder_award_id":"3502ZCQXT2021003","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3434091584","display_name":null,"funder_award_id":"62171393","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5306942552","display_name":"\u9762\u5411\u57ce\u5e02\u5fae\u73af\u5883\u6a21\u62df\u7684\u591a\u6e90\u70b9\u4e91\u4e13\u9898\u6a21\u578b\u751f\u6210\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971363","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G539368931","display_name":null,"funder_award_id":"41971424","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5990381342","display_name":null,"funder_award_id":"3502ZCQXT2021003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7181855334","display_name":null,"funder_award_id":"41971424","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8213514177","display_name":null,"funder_award_id":"2021M690094","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G964513604","display_name":null,"funder_award_id":"2021M690094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229029442.pdf","grobid_xml":"https://content.openalex.org/works/W4229029442.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1830471444","https://openalex.org/W1901057238","https://openalex.org/W2027069615","https://openalex.org/W2560609797","https://openalex.org/W2621534427","https://openalex.org/W2734579475","https://openalex.org/W2770859475","https://openalex.org/W2786112702","https://openalex.org/W2884154111","https://openalex.org/W2899011312","https://openalex.org/W2905600194","https://openalex.org/W2938624153","https://openalex.org/W2945817187","https://openalex.org/W2947875106","https://openalex.org/W2949577571","https://openalex.org/W2963121255","https://openalex.org/W2964237352","https://openalex.org/W2978005227","https://openalex.org/W2979750740","https://openalex.org/W3008461115","https://openalex.org/W3034324855","https://openalex.org/W3049298744","https://openalex.org/W3158405343","https://openalex.org/W4394671432"],"related_works":["https://openalex.org/W2567662842","https://openalex.org/W2942061931","https://openalex.org/W3104241874","https://openalex.org/W3137290046","https://openalex.org/W4213033583","https://openalex.org/W3135814603","https://openalex.org/W3212961654","https://openalex.org/W3198723315","https://openalex.org/W3163204913","https://openalex.org/W4287279151"],"abstract_inverted_index":{"Point":[0],"cloud":[1,20,70,81,121,143],"segmentation":[2,21,33,82,102,122,127],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,64,93],"AI":[8],"applications":[9],"such":[10],"as":[11],"autonomous":[12],"driving,":[13],"AR,":[14],"and":[15,124],"VR.":[16],"However,":[17],"previous":[18],"point":[19,69,80,105,120,142],"neural":[22],"networks":[23],"rarely":[24],"pay":[25],"attention":[26],"to":[27,46],"the":[28,32,40,48,54,60,101,119,126,133],"topological":[29,89,98],"correctness":[30],"of":[31,42,50,56,103],"results.":[34],"In":[35,129],"this":[36],"paper,":[37],"focusing":[38],"on":[39,100,132],"perspective":[41,55],"topology":[43,65,135],"awareness.":[44],"First,":[45],"optimize":[47],"distribution":[49],"segmented":[51],"predictions":[52],"from":[53],"topology,":[57],"we":[58,75,86,138],"introduce":[59],"persistent":[61],"homology":[62],"theory":[63],"into":[66,118],"a":[67,77,88,140],"3D":[68,79,104],"deep":[71],"learning":[72],"framework.":[73],"Second,":[74],"propose":[76,139],"topology-aware":[78,141],"module,":[83,95],"TopoSeg.":[84],"Specifically,":[85],"design":[87],"loss":[90,136],"function":[91],"embedded":[92,117],"TopoSeg":[94,112],"which":[96,147],"imposes":[97],"constraints":[99],"clouds.":[106],"Experiments":[107],"show":[108],"that":[109,150],"our":[110],"proposed":[111],"module":[113],"can":[114],"be":[115],"easily":[116],"network":[123],"improve":[125],"performance.":[128],"addition,":[130],"based":[131],"constructed":[134],"function,":[137],"edge":[144],"extraction":[145],"algorithm,":[146],"is":[148],"demonstrated":[149],"has":[151],"strong":[152],"robustness.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}