{"id":"https://openalex.org/W2562137921","doi":"https://doi.org/10.1109/ivs.2018.8500504","title":"MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving","display_name":"MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2562137921","doi":"https://doi.org/10.1109/ivs.2018.8500504","mag":"2562137921"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","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/A5060423410","display_name":"Marvin Teichmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marvin Teichmann","raw_affiliation_strings":["University of Toronto, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103159140","display_name":"Michael Weber","orcid":"https://orcid.org/0000-0002-2692-5568"},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Weber","raw_affiliation_strings":["FZI Research Center for Information Technology, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology, Karlsruhe","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108795823","display_name":"Marius Z\u00f6llner","orcid":null},"institutions":[{"id":"https://openalex.org/I143379178","display_name":"FZI Research Center for Information Technology","ror":"https://ror.org/04kdh6x72","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I143379178"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marius Zollner","raw_affiliation_strings":["FZI Research Center for Information Technology, Karlsruhe"],"affiliations":[{"raw_affiliation_string":"FZI Research Center for Information Technology, Karlsruhe","institution_ids":["https://openalex.org/I143379178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018207993","display_name":"Roberto Cipolla","orcid":"https://orcid.org/0000-0002-8999-2151"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Roberto Cipolla","raw_affiliation_strings":["University of Cambridge, Cambridge, Cambridgeshire, GB"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, Cambridgeshire, GB","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058557954","display_name":"Raquel Urtasun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raquel Urtasun","raw_affiliation_strings":["University of Toronto, Toronto, ON, CA"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060423410"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":38.8841,"has_fulltext":false,"cited_by_count":685,"citation_normalized_percentile":{"value":0.99805388,"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":"1013","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9997000098228455,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8186626434326172},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6935818195343018},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6890878677368164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6232552528381348},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5832147002220154},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5507411360740662},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5193013548851013},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4634309709072113},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.450271338224411},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43399107456207275},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.42725250124931335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41601935029029846},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08506187796592712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186626434326172},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6935818195343018},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6890878677368164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6232552528381348},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5832147002220154},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5507411360740662},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5193013548851013},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4634309709072113},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.450271338224411},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43399107456207275},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.42725250124931335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41601935029029846},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08506187796592712},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2018.8500504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":94,"referenced_works":["https://openalex.org/W201176276","https://openalex.org/W582055897","https://openalex.org/W607748843","https://openalex.org/W639708223","https://openalex.org/W1507506748","https://openalex.org/W1529410181","https://openalex.org/W1536680647","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1795068553","https://openalex.org/W1849277567","https://openalex.org/W1896424170","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1923697677","https://openalex.org/W1932624639","https://openalex.org/W1955369839","https://openalex.org/W1958328135","https://openalex.org/W2037227137","https://openalex.org/W2068730032","https://openalex.org/W2092985495","https://openalex.org/W2102492119","https://openalex.org/W2102605133","https://openalex.org/W2104446196","https://openalex.org/W2108598243","https://openalex.org/W2113201641","https://openalex.org/W2115579991","https://openalex.org/W2117539524","https://openalex.org/W2124592697","https://openalex.org/W2150066425","https://openalex.org/W2163605009","https://openalex.org/W2167222293","https://openalex.org/W2184393491","https://openalex.org/W2186094539","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2273972066","https://openalex.org/W2293078015","https://openalex.org/W2295072214","https://openalex.org/W2304648132","https://openalex.org/W2322480645","https://openalex.org/W2412782625","https://openalex.org/W2468368736","https://openalex.org/W2511969587","https://openalex.org/W2596750703","https://openalex.org/W2754856369","https://openalex.org/W2792727293","https://openalex.org/W2952147788","https://openalex.org/W2952236454","https://openalex.org/W2952637581","https://openalex.org/W2962835968","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963269451","https://openalex.org/W2963377935","https://openalex.org/W2963542991","https://openalex.org/W2963840672","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W3106250896","https://openalex.org/W4293402673","https://openalex.org/W4302061398","https://openalex.org/W6608141721","https://openalex.org/W6616954417","https://openalex.org/W6620707391","https://openalex.org/W6629368666","https://openalex.org/W6631611276","https://openalex.org/W6637373629","https://openalex.org/W6639204139","https://openalex.org/W6639495226","https://openalex.org/W6639780620","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6640833263","https://openalex.org/W6641173728","https://openalex.org/W6667689585","https://openalex.org/W6675026286","https://openalex.org/W6675396308","https://openalex.org/W6675533928","https://openalex.org/W6684191040","https://openalex.org/W6686211706","https://openalex.org/W6687483927","https://openalex.org/W6694605516","https://openalex.org/W6696085341","https://openalex.org/W6696405545","https://openalex.org/W6697974390","https://openalex.org/W6700594562","https://openalex.org/W6715287400","https://openalex.org/W6718803450","https://openalex.org/W6730411969","https://openalex.org/W6744461261","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2275988210","https://openalex.org/W2086733238","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2355288082","https://openalex.org/W4224009465","https://openalex.org/W2030530201","https://openalex.org/W2385621972","https://openalex.org/W3215592802","https://openalex.org/W2611671066"],"abstract_inverted_index":{"While":[0],"most":[1],"approaches":[2],"to":[3,24,40,86,101],"semantic":[4,45],"reasoning":[5],"have":[6],"focused":[7],"on":[8],"improving":[9],"performance,":[10],"in":[11,22,73],"this":[12,34],"paper":[13],"we":[14,36],"argue":[15],"that":[16],"computational":[17],"times":[18],"are":[19],"very":[20,63,82],"important":[21],"order":[23],"enable":[25],"real":[26],"time":[27],"applications":[28],"such":[29],"as":[30],"autonomous":[31],"driving.":[32],"Towards":[33],"goal,":[35],"present":[37],"an":[38],"approach":[39,61,79],"joint":[41],"classification,":[42],"detection":[43],"and":[44,69,98],"segmentation":[46],"using":[47],"a":[48],"unified":[49],"architecture":[50],"where":[51],"the":[52,57,74],"encoder":[53],"is":[54,62,80],"shared":[55],"amongst":[56],"three":[58],"tasks.":[59],"Our":[60,78],"simple,":[64],"can":[65,105],"be":[66,106],"trained":[67,99],"end-to-end":[68],"performs":[70],"extremely":[71],"well":[72],"challenging":[75],"KITTI":[76],"dataset.":[77],"also":[81],"efficient,":[83],"allowing":[84],"us":[85],"perform":[87],"inference":[88],"at":[89],"more":[90],"then":[91],"23":[92],"frames":[93],"per":[94],"second.":[95],"Training":[96],"scripts":[97],"weights":[100],"reproduce":[102],"our":[103],"results":[104],"found":[107],"here:":[108],"https://github.com/MarvinTeichmann/MultiNet":[109]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":60},{"year":2024,"cited_by_count":74},{"year":2023,"cited_by_count":76},{"year":2022,"cited_by_count":79},{"year":2021,"cited_by_count":92},{"year":2020,"cited_by_count":102},{"year":2019,"cited_by_count":113},{"year":2018,"cited_by_count":59},{"year":2017,"cited_by_count":22}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}