{"id":"https://openalex.org/W2886802132","doi":"https://doi.org/10.1109/icpr.2018.8545378","title":"3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes","display_name":"3D Geometry-Aware Semantic Labeling of Outdoor Street Scenes","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2886802132","doi":"https://doi.org/10.1109/icpr.2018.8545378","mag":"2886802132"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5066621365","display_name":"Yiran Zhong","orcid":"https://orcid.org/0000-0003-1404-3610"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yiran Zhong","raw_affiliation_strings":["Research School of Engineering, CSIRO, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Research School of Engineering, CSIRO, Canberra, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036202579","display_name":"Yuchao Dai","orcid":"https://orcid.org/0000-0002-4432-7406"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Dai","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101819061","display_name":"Hongdong Li","orcid":"https://orcid.org/0000-0003-4125-1554"},"institutions":[{"id":"https://openalex.org/I4210127558","display_name":"Australian Centre for Robotic Vision","ror":"https://ror.org/02zv9xv82","country_code":"AU","type":"facility","lineage":["https://openalex.org/I4210127558"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["Research School of Engineering, Australian Centre for Robotic Vision, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Research School of Engineering, Australian Centre for Robotic Vision, Canberra, Australia","institution_ids":["https://openalex.org/I4210127558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066621365"],"corresponding_institution_ids":["https://openalex.org/I1292875679"],"apc_list":null,"apc_paid":null,"fwci":0.9374,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73281832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2343","last_page":"2349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7303256988525391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6668871641159058},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6335501670837402},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6077365875244141},{"id":"https://openalex.org/keywords/cityscape","display_name":"Cityscape","score":0.5767067670822144},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5363285541534424},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5036553740501404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49250635504722595},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4854212701320648},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.46621614694595337},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46614161133766174},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4548909366130829},{"id":"https://openalex.org/keywords/3d-city-models","display_name":"3D city models","score":0.44421228766441345},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4291852116584778},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3468863070011139},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.13972002267837524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1390405297279358},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10697323083877563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303256988525391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6668871641159058},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6335501670837402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6077365875244141},{"id":"https://openalex.org/C2779685930","wikidata":"https://www.wikidata.org/wiki/Q1935974","display_name":"Cityscape","level":2,"score":0.5767067670822144},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5363285541534424},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5036553740501404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49250635504722595},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4854212701320648},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.46621614694595337},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46614161133766174},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4548909366130829},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.44421228766441345},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4291852116584778},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3468863070011139},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.13972002267837524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1390405297279358},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10697323083877563},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2018.8545378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/201664","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/201664","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Pattern Recognition","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W119907795","https://openalex.org/W1565402342","https://openalex.org/W1644641054","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1990444762","https://openalex.org/W2073700113","https://openalex.org/W2153423793","https://openalex.org/W2162731263","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2211722331","https://openalex.org/W2271840356","https://openalex.org/W2340897893","https://openalex.org/W2341830442","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2461677039","https://openalex.org/W2512689497","https://openalex.org/W2557465155","https://openalex.org/W2572745118","https://openalex.org/W2587989515","https://openalex.org/W2604455318","https://openalex.org/W2751625733","https://openalex.org/W2952147788","https://openalex.org/W2962835968","https://openalex.org/W2963881378","https://openalex.org/W6640300118","https://openalex.org/W6684191040","https://openalex.org/W6725721286","https://openalex.org/W6733387591"],"related_works":["https://openalex.org/W1974241303","https://openalex.org/W2365698185","https://openalex.org/W2278970506","https://openalex.org/W2383527859","https://openalex.org/W2066186317","https://openalex.org/W2348479303","https://openalex.org/W2382644551","https://openalex.org/W2605894374","https://openalex.org/W2056025567","https://openalex.org/W2504923069"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,97,119],"concerned":[3],"with":[4],"the":[5,24,39,45,63,101,110],"problem":[6],"of":[7,65],"how":[8],"to":[9,76,87],"better":[10],"exploit":[11],"3D":[12,26,30,60,69,83,117,123],"geometric":[13,124],"information":[14,28],"for":[15,48],"dense":[16,94],"semantic":[17,84],"image":[18,36,50],"labeling.":[19,51],"Existing":[20],"methods":[21],"often":[22],"treat":[23],"available":[25],"geometry":[27],"(e.g.,":[29],"depth-map)":[31],"simply":[32],"as":[33],"an":[34],"additional":[35],"channel":[37],"besides":[38],"R-G-B":[40],"color":[41],"channels,":[42],"and":[43,103],"apply":[44],"same":[46],"technique":[47],"RGB":[49],"In":[52],"this":[53],"paper,":[54],"we":[55,80],"demonstrate":[56],"that":[57],"directly":[58],"performing":[59],"convolution":[61],"in":[62,121],"framework":[64],"a":[66,82,93,115],"residual":[67],"connected":[68],"voxel":[70],"top-down":[71],"modulation":[72],"network":[73],"can":[74],"lead":[75],"superior":[77],"results.":[78],"Specifically,":[79],"propose":[81],"labeling":[85],"method":[86,108],"label":[88],"outdoor":[89],"street":[90],"scenes":[91],"whenever":[92],"depth":[95],"map":[96],"available.":[98],"Experiments":[99],"on":[100],"\u201cSynthia\u201d":[102],"\u201cCityscape\u201d":[104],"datasets":[105],"show":[106],"our":[107],"outperforms":[109],"state-of-the-art":[111],"methods,":[112],"suggesting":[113],"such":[114],"simple":[116],"representation":[118],"effective":[120],"incorporating":[122],"information.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
