{"id":"https://openalex.org/W2962708411","doi":"https://doi.org/10.1609/aaai.v33i01.33018409","title":"Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors","display_name":"Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2962708411","doi":"https://doi.org/10.1609/aaai.v33i01.33018409","mag":"2962708411"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018409","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018409","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4856/4729","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4856/4729","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091543199","display_name":"Tong He","orcid":"https://orcid.org/0000-0002-2388-8618"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong He","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038328783","display_name":"Stefano Soatto","orcid":"https://orcid.org/0000-0003-2902-6362"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Soatto","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9336,"has_fulltext":true,"cited_by_count":128,"citation_normalized_percentile":{"value":0.97700348,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"8409","last_page":"8416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9973000288009644,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.843441367149353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7121475338935852},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.654825747013092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133195161819458},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5909848213195801},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5888133645057678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.566579282283783},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.47603774070739746},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4615741968154907},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.41963309049606323},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2628089189529419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2570803463459015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17024987936019897},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.13201391696929932}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.843441367149353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7121475338935852},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.654825747013092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133195161819458},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5909848213195801},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5888133645057678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.566579282283783},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.47603774070739746},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4615741968154907},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.41963309049606323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2628089189529419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2570803463459015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17024987936019897},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.13201391696929932},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018409","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018409","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4856/4729","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4856","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4856","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018409","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018409","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4856/4729","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3620908591","display_name":null,"funder_award_id":"ONR N00014-17-1-2072","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G681471682","display_name":null,"funder_award_id":"N00014-17-1-2072","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7252732951","display_name":null,"funder_award_id":"W911NF-17-1-0304","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8560255181","display_name":null,"funder_award_id":"ARO W911NF-17-1-0304","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2962708411.pdf","grobid_xml":"https://content.openalex.org/works/W2962708411.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W639708223","https://openalex.org/W1893912098","https://openalex.org/W1914646313","https://openalex.org/W1946609740","https://openalex.org/W1985217382","https://openalex.org/W1994107985","https://openalex.org/W2020575505","https://openalex.org/W2071042563","https://openalex.org/W2091804476","https://openalex.org/W2120657032","https://openalex.org/W2133665775","https://openalex.org/W2135085348","https://openalex.org/W2145283077","https://openalex.org/W2150066425","https://openalex.org/W2161969291","https://openalex.org/W2184393491","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2342242867","https://openalex.org/W2416145146","https://openalex.org/W2468368736","https://openalex.org/W2520707372","https://openalex.org/W2555618208","https://openalex.org/W2560544142","https://openalex.org/W2605189827","https://openalex.org/W2607935738","https://openalex.org/W2609144136","https://openalex.org/W2613718673","https://openalex.org/W2624503621","https://openalex.org/W2739423245","https://openalex.org/W2773077099","https://openalex.org/W2774989038","https://openalex.org/W2798981066","https://openalex.org/W2810389316","https://openalex.org/W2962888833","https://openalex.org/W2963121255","https://openalex.org/W2964062501","https://openalex.org/W2964327083","https://openalex.org/W3106250896","https://openalex.org/W6618372016","https://openalex.org/W6679942617","https://openalex.org/W6683411478","https://openalex.org/W6687483927","https://openalex.org/W6719813498","https://openalex.org/W6741770579","https://openalex.org/W6745673378","https://openalex.org/W6750858325","https://openalex.org/W6752562214","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2489489317","https://openalex.org/W1564558219","https://openalex.org/W4200050103","https://openalex.org/W4297916899","https://openalex.org/W3025711542","https://openalex.org/W2805263639","https://openalex.org/W3098467253","https://openalex.org/W3174373869","https://openalex.org/W2904215936","https://openalex.org/W2962708411"],"abstract_inverted_index":{"We":[0,73],"present":[1],"a":[2,13,38,44,67,83],"method":[3],"to":[4,42,56],"infer":[5],"3D":[6,29,63],"pose":[7],"and":[8,31,50],"shape":[9,49,91],"of":[10,47],"vehicles":[11],"from":[12],"single":[14],"image.":[15],"To":[16,52],"tackle":[17],"this":[18],"ill-posed":[19],"problem,":[20],"we":[21,36,59],"optimize":[22],"two-scale":[23],"projection":[24,95],"consistency":[25],"between":[26],"the":[27,62],"generated":[28],"hypotheses":[30],"their":[32],"2D":[33,57],"pseudo-measurements.":[34],"Specifically,":[35],"use":[37],"morphable":[39],"wireframe":[40],"model":[41,61],"generate":[43],"fine-scaled":[45],"representation":[46,69],"vehicle":[48,90],"pose.":[51],"reduce":[53],"its":[54],"sensitivity":[55],"landmarks,":[58],"jointly":[60],"bounding":[64],"box":[65],"as":[66,87,89],"coarse":[68],"which":[70],"improves":[71],"robustness.":[72],"also":[74],"integrate":[75],"three":[76],"task":[77],"priors,":[78,92],"including":[79],"unsupervised":[80],"monocular":[81],"depth,":[82],"ground":[84],"plane":[85],"constraint":[86],"well":[88],"with":[93],"forward":[94],"errors":[96],"into":[97],"an":[98],"overall":[99],"energy":[100],"function.":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":10}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
