{"id":"https://openalex.org/W4415539529","doi":"https://doi.org/10.1145/3746027.3758238","title":"BIMCompNet: Multimodal Dataset for Geometric Deep Learning in Building Information Model","display_name":"BIMCompNet: Multimodal Dataset for Geometric Deep Learning in Building Information Model","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415539529","doi":"https://doi.org/10.1145/3746027.3758238"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3758238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/A5022134083","display_name":"Mingsong Yang","orcid":"https://orcid.org/0000-0002-8999-1503"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsong Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8999-1503","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073391035","display_name":"Xinhong Hei","orcid":"https://orcid.org/0000-0002-6394-0492"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhong Hei","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-6394-0492","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006323375","display_name":"Kehai Chen","orcid":"https://orcid.org/0000-0002-4346-7618"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kehai Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), ShenZhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4346-7618","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), ShenZhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haining Meng","orcid":"https://orcid.org/0000-0002-4071-1128"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haining Meng","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-4071-1128","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":null,"display_name":"HaoYang Dong","orcid":"https://orcid.org/0009-0005-1203-9046"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HaoYang Dong","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0005-1203-9046","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102925002","display_name":"Qin Zhao","orcid":"https://orcid.org/0000-0003-1471-4947"},"institutions":[{"id":"https://openalex.org/I148099405","display_name":"Xi'an University of Architecture and Technology","ror":"https://ror.org/04v2j2k71","country_code":"CN","type":"education","lineage":["https://openalex.org/I148099405"]},{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Zhao","raw_affiliation_strings":["School of Civil Engineering and Architecture, Xi'an University of Technology, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-1471-4947","affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Architecture, Xi'an University of Technology, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I148099405","https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6891,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87723847,"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":"12927","last_page":"12933"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9997000098228455,"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/T11006","display_name":"BIM and Construction Integration","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/building-information-modeling","display_name":"Building information modeling","score":0.7620999813079834},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6700999736785889},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6546000242233276},{"id":"https://openalex.org/keywords/information-model","display_name":"Information model","score":0.5652999877929688},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5321000218391418},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5274999737739563},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41609999537467957},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.40619999170303345}],"concepts":[{"id":"https://openalex.org/C66862320","wikidata":"https://www.wikidata.org/wiki/Q842017","display_name":"Building information modeling","level":3,"score":0.7620999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960999965667725},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6700999736785889},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6546000242233276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5799000263214111},{"id":"https://openalex.org/C21338462","wikidata":"https://www.wikidata.org/wiki/Q1662581","display_name":"Information model","level":2,"score":0.5652999877929688},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5321000218391418},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5274999737739563},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.40619999170303345},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3359000086784363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C100463513","wikidata":"https://www.wikidata.org/wiki/Q5227322","display_name":"Data model (GIS)","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C189474733","wikidata":"https://www.wikidata.org/wiki/Q917912","display_name":"Model building","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.2809000015258789},{"id":"https://openalex.org/C2775955345","wikidata":"https://www.wikidata.org/wiki/Q7449071","display_name":"Semantic mapping","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3758238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3758238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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":21,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W2211722331","https://openalex.org/W2902078856","https://openalex.org/W2979750740","https://openalex.org/W2992949771","https://openalex.org/W3196906152","https://openalex.org/W4220922504","https://openalex.org/W4281652610","https://openalex.org/W4288041663","https://openalex.org/W4309772935","https://openalex.org/W4320517141","https://openalex.org/W4377819311","https://openalex.org/W4386016577","https://openalex.org/W4393197842","https://openalex.org/W4398955049","https://openalex.org/W4401256813","https://openalex.org/W4408165480","https://openalex.org/W4408927225","https://openalex.org/W4409096846","https://openalex.org/W4409166808","https://openalex.org/W4409185825"],"related_works":[],"abstract_inverted_index":{"Building":[0],"Information":[1],"Model":[2],"(BIM)":[3],"has":[4,36],"become":[5],"a":[6,51,87],"significantly":[7],"digital":[8],"platform":[9],"for":[10,203],"representing":[11],"buildings":[12],"in":[13],"the":[14,22,32,38,94,102,109,126,224,227],"Architecture,":[15],"Engineering,":[16],"and":[17,28,80,115,134,141,146,158,168,193,208,226,237],"Construction":[18],"(AEC)":[19],"industry.":[20],"However,":[21],"absence":[23],"of":[24,40],"extensive,":[25],"class-":[26],"diverse,":[27],"balanced":[29,200],"datasets":[30],"at":[31,139],"BIM":[33,42,63,179],"component":[34,64,127],"level":[35],"limited":[37],"development":[39],"AI-driven":[41],"analysis.":[43],"In":[44],"this":[45],"study,":[46],"BIMCompNet":[47,83,164],"is":[48,84,113,211],"proposed":[49],"as":[50],"large-scale":[52],"multimodal":[53],"dataset":[54,225,239],"from":[55,67,176],"Industry":[56],"Foundation":[57],"Classes":[58],"(IFC),":[59],"which":[60],"can":[61],"learn":[62],"geometry":[65,97,133],"features":[66],"multiple":[68,220],"representation":[69],"methods,":[70],"including":[71],"rendered":[72],"views,":[73],"point":[74,154],"clouds,":[75,155],"mesh":[76],"structures,":[77],"voxel":[78,156],"grids,":[79,157],"semantic":[81,129],"graphs.":[82],"constructed":[85],"by":[86,216],"standardized":[88],"two-stage":[89],"processing":[90,228],"pipeline:":[91],"(1)":[92],"At":[93,125],"model":[95,140,206],"level,":[96,128],"units":[98],"are":[99,106,117,131,136,144,162,191,196],"normalized":[100],"to":[101,108,198,234],"SI":[103],"units,":[104],"models":[105,180,218],"converted":[107],"IFC":[110,122,160,173],"format,":[111],"metadata":[112],"anonymized,":[114],"components":[116,170],"automatically":[118],"extracted":[119],"into":[120],"individual":[121],"files.":[123],"(2)":[124],"labels":[130],"corrected,":[132],"positioning":[135],"aligned,":[137],"duplicates":[138],"project":[142],"levels":[143],"removed,":[145],"five":[147],"synchronized":[148],"modalities":[149],"(OBJ":[150],"meshes,":[151],"multi-view":[152],"images,":[153],"heterogeneous":[159],"graphs)":[161],"generated.":[163],"comprises":[165],"1,304,206":[166],"cleaned":[167],"labeled":[169],"across":[171],"87":[172],"classes,":[174],"collected":[175],"1,607":[177],"real-world":[178],"spanning":[181],"14":[182],"building":[183],"types.":[184],"To":[185],"mitigate":[186],"class":[187],"imbalance,":[188],"underrepresented":[189],"classes":[190,195],"merged,":[192],"dominant":[194],"down-sampled":[197],"create":[199],"subsets":[201],"suitable":[202],"robust":[204],"AI":[205],"training":[207],"benchmarking.":[209],"Benchmarking":[210],"performed":[212],"on":[213],"classification":[214],"tasks":[215],"different":[217],"with":[219],"data":[221],"modalities.":[222],"Both":[223],"pipeline":[229],"will":[230],"be":[231],"publicly":[232],"released":[233],"support":[235],"reproducibility":[236],"private":[238],"extension.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-25T00:00:00"}
