{"id":"https://openalex.org/W4414360665","doi":"https://doi.org/10.24963/ijcai.2025/108","title":"Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer","display_name":"Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360665","doi":"https://doi.org/10.24963/ijcai.2025/108"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/108","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5113154722","display_name":"Chenghao Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142037","display_name":"Shanxi University of Traditional Chinese Medicine","ror":"https://ror.org/0522dg826","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142037"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenghao Fang","raw_affiliation_strings":["Shanxi University"],"affiliations":[{"raw_affiliation_string":"Shanxi University","institution_ids":["https://openalex.org/I4210142037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029583585","display_name":"Jianqing Liang","orcid":"https://orcid.org/0000-0002-1461-2329"},"institutions":[{"id":"https://openalex.org/I4210142037","display_name":"Shanxi University of Traditional Chinese Medicine","ror":"https://ror.org/0522dg826","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142037"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqing Liang","raw_affiliation_strings":["Shanxi University"],"affiliations":[{"raw_affiliation_string":"Shanxi University","institution_ids":["https://openalex.org/I4210142037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106626932","display_name":"Jiye Liang","orcid":"https://orcid.org/0000-0001-5887-9327"},"institutions":[{"id":"https://openalex.org/I4210142037","display_name":"Shanxi University of Traditional Chinese Medicine","ror":"https://ror.org/0522dg826","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142037"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiye Liang","raw_affiliation_strings":["Shanxi University"],"affiliations":[{"raw_affiliation_string":"Shanxi University","institution_ids":["https://openalex.org/I4210142037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085331786","display_name":"Hangkun Wang","orcid":"https://orcid.org/0000-0002-1717-4248"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hangkun Wang","raw_affiliation_strings":["Northwest University"],"affiliations":[{"raw_affiliation_string":"Northwest University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085483879","display_name":"Kaixuan Yao","orcid":"https://orcid.org/0000-0001-8468-8532"},"institutions":[{"id":"https://openalex.org/I4210142037","display_name":"Shanxi University of Traditional Chinese Medicine","ror":"https://ror.org/0522dg826","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142037"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixuan Yao","raw_affiliation_strings":["Shanxi University"],"affiliations":[{"raw_affiliation_string":"Shanxi University","institution_ids":["https://openalex.org/I4210142037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045211553","display_name":"Feilong Cao","orcid":"https://orcid.org/0000-0002-1690-5694"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Cao","raw_affiliation_strings":["Zhejiang Normal University"],"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113154722"],"corresponding_institution_ids":["https://openalex.org/I4210142037"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28817929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"963","last_page":"971"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9936000108718872,"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":0.9936000108718872,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9872000217437744,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9786999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6987000107765198},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5392000079154968},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.44339999556541443},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.3968999981880188},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39320001006126404},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.36970001459121704},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.35269999504089355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7423999905586243},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6987000107765198},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5392000079154968},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.3968999981880188},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39320001006126404},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3921000063419342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39169999957084656},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.35269999504089355},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31119999289512634},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/108","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-modal":[0],"point":[1,12,33,54,101,134,150],"cloud":[2,13,102,135,151],"completion,":[3],"which":[4],"utilizes":[5],"a":[6,10,17,28,89,118],"complete":[7],"image":[8,45,60,104,114,124],"and":[9,35,47,84,103],"partial":[11],"as":[14,126],"input,":[15],"is":[16,160],"crucial":[18],"task":[19],"in":[20,154],"3D":[21],"computer":[22],"vision.":[23],"Previous":[24],"methods":[25],"commonly":[26],"employ":[27],"cross-attention":[29],"mechanism":[30,93],"to":[31,42,94,107,128],"fuse":[32],"clouds":[34,55],"images.":[36],"However,":[37],"these":[38,64],"approaches":[39],"often":[40],"fail":[41],"fully":[43],"leverage":[44],"information":[46,97],"overlook":[48],"the":[49,59,100,109,112,130,140],"intrinsic":[50],"geometric":[51],"details":[52],"of":[53,111,132,142],"that":[56,122],"could":[57],"complement":[58],"modality.":[61],"To":[62],"address":[63],"challenges,":[65],"we":[66,116],"propose":[67],"an":[68],"interleaved":[69,91],"attention":[70,92],"enhanced":[71],"Transformer":[72],"(IAET)":[73],"with":[74],"three":[75],"main":[76],"components,":[77],"i.e.,":[78],"token":[79,82],"embedding,":[80],"bidirectional":[81,96],"supplement,":[83],"coarse-to-fine":[85],"decoding.":[86],"IAET":[87],"incorporates":[88],"novel":[90],"enable":[95],"supplementation":[98],"between":[99],"modalities.":[105],"Additionally,":[106],"maximize":[108],"use":[110],"supplemented":[113],"information,":[115],"introduce":[117],"view-guided":[119],"upsampling":[120],"module":[121],"leverages":[123],"tokens":[125],"queries":[127],"guide":[129],"generation":[131],"detailed":[133],"structures.":[136],"Extensive":[137],"experiments":[138],"demonstrate":[139],"effectiveness":[141],"IAET,":[143],"highlighting":[144],"its":[145],"state-of-the-art":[146],"performance":[147],"on":[148],"multi-modal":[149],"completion":[152],"benchmarks":[153],"various":[155],"scenarios.":[156],"The":[157],"source":[158],"code":[159],"freely":[161],"accessible":[162],"at":[163],"https://github.com/doldolOuO/IAET.":[164]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}