{"id":"https://openalex.org/W3126181914","doi":"https://doi.org/10.1109/tce.2021.3057137","title":"End-to-End 6DoF Pose Estimation From Monocular RGB Images","display_name":"End-to-End 6DoF Pose Estimation From Monocular RGB Images","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3126181914","doi":"https://doi.org/10.1109/tce.2021.3057137","mag":"3126181914"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2021.3057137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2021.3057137","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5035616324","display_name":"Wenbin Zou","orcid":"https://orcid.org/0000-0003-1389-9089"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Zou","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Shenzhen University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen University (China)","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["Visual Computing Group, PingAn Insurance Group Company of China Ltd., Shenzhen, China","PingAn Insurance Group [Visual Computing Group] (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing Group, PingAn Insurance Group Company of China Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I4210144487"]},{"raw_affiliation_string":"PingAn Insurance Group [Visual Computing Group] (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076929850","display_name":"Shishun Tian","orcid":"https://orcid.org/0000-0002-7616-8382"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shishun Tian","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Shenzhen University (China)"],"raw_orcid":"https://orcid.org/0000-0002-7616-8382","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen University (China)","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032730988","display_name":"Canqun Xiang","orcid":"https://orcid.org/0000-0003-0396-2427"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canqun Xiang","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Shenzhen University (China)"],"raw_orcid":"https://orcid.org/0000-0003-0396-2427","affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen University (China)","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445591","display_name":"Xia Li","orcid":"https://orcid.org/0000-0002-8043-9966"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","Shenzhen University (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Institute of Artificial Intelligence and Advanced Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Shenzhen University (China)","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035359666","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0002-8859-5453"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I28221208","display_name":"Institut National des Sciences Appliqu\u00e9es de Rennes","ror":"https://ror.org/04xaa4j22","country_code":"FR","type":"education","lineage":["https://openalex.org/I28221208"]},{"id":"https://openalex.org/I3132279224","display_name":"Institut Sup\u00e9rieur de l'\u00c9lectronique et du Num\u00e9rique","ror":"https://ror.org/017h2rd72","country_code":"FR","type":"education","lineage":["https://openalex.org/I3132279224"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I88814501","display_name":"Institut National des Sciences Appliqu\u00e9es Rouen Normandie","ror":"https://ror.org/020ws7586","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["National Institute of Applied Sciences of Rennes (INSA de Rennes), Rennes, France","UMR CNRS 6164, Institut d\u2019\u00c9lectronique et des Technologies du num\u00e9Rique (IETR), Rennes, France","INSA Rennes - Institut National des Sciences Appliqu\u00e9es - Rennes (20, avenue des Buttes de Co\u00ebsmes - CS 70839 - 35708 Rennes cedex 7 - France)","IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)"],"raw_orcid":"https://orcid.org/0000-0002-8859-5453","affiliations":[{"raw_affiliation_string":"National Institute of Applied Sciences of Rennes (INSA de Rennes), Rennes, France","institution_ids":["https://openalex.org/I28221208","https://openalex.org/I88814501"]},{"raw_affiliation_string":"UMR CNRS 6164, Institut d\u2019\u00c9lectronique et des Technologies du num\u00e9Rique (IETR), Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I3132279224","https://openalex.org/I4210100151"]},{"raw_affiliation_string":"INSA Rennes - Institut National des Sciences Appliqu\u00e9es - Rennes (20, avenue des Buttes de Co\u00ebsmes - CS 70839 - 35708 Rennes cedex 7 - France)","institution_ids":["https://openalex.org/I28221208"]},{"raw_affiliation_string":"IETR - Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique (Campus de Beaulieu B\u00e2timent 11D\r\n263 Av.G\u00e9n\u00e9ral Leclerc-CS 74205\r\n 35042 Rennes Cedex - France)","institution_ids":["https://openalex.org/I4210100151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7168,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.84543398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"67","issue":"1","first_page":"87","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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":0.9983999729156494,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7711620926856995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616369724273682},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6859291195869446},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6748809218406677},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.670220136642456},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6235304474830627},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6212391257286072},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6203386783599854},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4580904245376587},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.44519808888435364},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.416353702545166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3525739312171936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1647646129131317}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7711620926856995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616369724273682},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6859291195869446},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6748809218406677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.670220136642456},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6235304474830627},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6212391257286072},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6203386783599854},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4580904245376587},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.44519808888435364},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.416353702545166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3525739312171936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1647646129131317},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tce.2021.3057137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2021.3057137","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03189018v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03189018","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Consumer Electronics, 2021, 67 (1), pp.87-96. &#x27E8;10.1109/TCE.2021.3057137&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1489316224","display_name":null,"funder_award_id":"2020A1515010959","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3338363611","display_name":null,"funder_award_id":"61872429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4246372239","display_name":null,"funder_award_id":"61871273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8263721069","display_name":null,"funder_award_id":"61771321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320325571","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1591870335","https://openalex.org/W1833143043","https://openalex.org/W1861492603","https://openalex.org/W1949483711","https://openalex.org/W1964201035","https://openalex.org/W1991264156","https://openalex.org/W2037227137","https://openalex.org/W2075147451","https://openalex.org/W2097073572","https://openalex.org/W2097369932","https://openalex.org/W2150066425","https://openalex.org/W2150383810","https://openalex.org/W2172143421","https://openalex.org/W2200124539","https://openalex.org/W2342242867","https://openalex.org/W2518803647","https://openalex.org/W2560544142","https://openalex.org/W2578959729","https://openalex.org/W2580726517","https://openalex.org/W2605102758","https://openalex.org/W2605111497","https://openalex.org/W2621061298","https://openalex.org/W2770887258","https://openalex.org/W2772458411","https://openalex.org/W2791763440","https://openalex.org/W2799123546","https://openalex.org/W2802545914","https://openalex.org/W2888752296","https://openalex.org/W2895439318","https://openalex.org/W2897782837","https://openalex.org/W2904759738","https://openalex.org/W2922379304","https://openalex.org/W2941359057","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2963217716","https://openalex.org/W2963292632","https://openalex.org/W2963364380","https://openalex.org/W2963403868","https://openalex.org/W2963493651","https://openalex.org/W2964249569","https://openalex.org/W2992144662","https://openalex.org/W3024485546","https://openalex.org/W3034268171","https://openalex.org/W3106250896","https://openalex.org/W3109673306","https://openalex.org/W3112429985","https://openalex.org/W4385245566","https://openalex.org/W6639102338","https://openalex.org/W6739901393","https://openalex.org/W6754227600","https://openalex.org/W6756932269","https://openalex.org/W6777104483","https://openalex.org/W6785652829","https://openalex.org/W6786996039"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W4307623796","https://openalex.org/W4394784820"],"abstract_inverted_index":{"We":[0,151],"present":[1],"a":[2,25,111],"conceptually":[3],"simple":[4],"framework":[5],"for":[6,12,50,81],"6DoF":[7,83],"object":[8,88],"pose":[9,84],"estimation,":[10],"especially":[11],"autonomous":[13,98],"driving":[14,99],"scenarios.":[15,100],"Our":[16],"approach":[17],"can":[18],"efficiently":[19],"detect":[20],"the":[21,43,70,76,82,104,117,121,127,132,137,145,156,165],"traffic":[22,108],"participants":[23,109],"from":[24],"monocular":[26],"RGB":[27],"image":[28],"while":[29],"simultaneously":[30],"regressing":[31],"their":[32],"3D":[33,171],"translation":[34,89],"and":[35,56,161],"rotation":[36,55],"vectors.":[37],"The":[38],"proposed":[39,133],"method":[40,154],"6D-VNet,":[41],"extends":[42],"Mask":[44],"R-CNN":[45],"by":[46],"adding":[47],"customised":[48],"heads":[49],"predicting":[51],"vehicle's":[52],"finer":[53],"class,":[54],"translation.":[57],"It":[58],"is":[59,79],"trained":[60],"end-to-end":[61],"compared":[62],"to":[63,115,126],"previous":[64],"methods.":[65],"Furthermore,":[66],"we":[67,102],"show":[68],"that":[69],"inclusion":[71],"of":[72,147],"translational":[73],"regression":[74],"in":[75,97,168],"joint":[77],"losses":[78],"crucial":[80],"estimation":[85],"task,":[86],"where":[87],"distance":[90],"along":[91],"longitudinal":[92],"axis":[93],"varies":[94],"significantly,":[95],"e.g.,":[96],"Additionally,":[101],"incorporate":[103],"mutual":[105],"information":[106,140],"between":[107],"via":[110],"modified":[112],"non-local":[113,129],"block":[114,130],"capture":[116],"spatial":[118,138],"dependencies":[119],"among":[120],"detected":[122],"objects.":[123],"As":[124],"opposed":[125],"original":[128],"implementation,":[131],"weighting":[134],"modification":[135],"takes":[136],"neighbouring":[139],"into":[141],"consideration":[142],"whilst":[143],"counteracting":[144],"effect":[146],"extreme":[148],"gradient":[149],"values.":[150],"evaluate":[152],"our":[153,162],"on":[155],"challenging":[157],"real-world":[158],"Pascal3D+":[159],"dataset":[160],"6D-VNet":[163],"reaches":[164],"1st":[166],"place":[167],"ApolloScape":[169],"challenge":[170],"Car":[172],"Instance":[173],"task":[174],"(Apolloscape,":[175],"2018),":[176],"(Huang":[177],"et":[178],"al.,":[179],"2018).":[180]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
