{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:30:52Z","timestamp":1780511452113,"version":"3.54.1"},"reference-count":79,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tpami.2021.3074363","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T06:08:38Z","timestamp":1618985318000},"page":"1-1","source":"Crossref","is-referenced-by-count":26,"title":["MonoGRNet: A General Framework for Monocular 3D Object Detection"],"prefix":"10.1109","author":[{"given":"Zengyi","family":"Qin","sequence":"first","affiliation":[{"name":"Electronic Engineering, Tsinghua University, 12442 Beijing, Beijing, China, 100084 (e-mail: qinzy@mit.edu)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinglu","family":"Wang","sequence":"additional","affiliation":[{"name":"Media Computing, Microsoft Research Asia, 216064 Beijing, Beijing, China, (e-mail: jinglu.cs@gmail.com)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Lu","sequence":"additional","affiliation":[{"name":"Internet Media Group, Microsoft Research Asia, Bejing, Beijing, China, 100191 (e-mail: yanlu@microsoft.com)"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.691"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00102"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00549"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018851"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.597"},{"key":"ref10","article-title":"Pseudo-LiDAR++: Accurate depth for 3D object detection in autonomous driving,","volume":"abs\/1906.06310","author":"You","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00864"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00114"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01169"},{"key":"ref14","article-title":"Monocular 3D object detection and box fitting trained end-to-end using intersection-over-union loss,","author":"J\u00f6rgensen","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01214"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018409"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6618"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00506"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.5220\/0009102506520659"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_38"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.528"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2014.6836101"},{"key":"ref24","article-title":"ShapeNet: An information-rich 3D model repository,","author":"Chang","year":"2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref33","article-title":"DSSD: Deconvolutional single shot detector,","author":"Fu","year":"2017"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500504"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00249"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.169"},{"key":"ref38","first-page":"424","article-title":"3D object proposals for accurate object class detection,","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.94"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.242"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00204"},{"key":"ref42","article-title":"Part-a^2 net: 3D part-aware and aggregation neural network for object detection from point cloud,","author":"Shi","year":"2019"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00752"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.236"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref46","first-page":"37","article-title":"Deep robust single image depth estimation neural network using scene understanding,","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Ren"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2016.7797068"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.300"},{"key":"ref49","article-title":"Instance-wise depth and motion learning from monocular videos,","author":"Lee","year":"2019"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2374218"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2804907"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00448"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2876304"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00783"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00780"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795763"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.638"},{"key":"ref59","first-page":"379","article-title":"R-fcn: Object detection via region-based fully convolutional networks,","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Dai"},{"key":"ref60","first-page":"118","article-title":"Transfer learning by borrowing examples for multiclass object detection,","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Lim"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"ref62","article-title":"Automotive 3D object detection without target domain annotations,","author":"Gustafsson","year":"2018"},{"key":"ref63","first-page":"3536","article-title":"LSDA: Large scale detection through adaptation,","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Hoffman"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225137"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00931"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00024"},{"key":"ref67","volume-title":"Python Tutorial","author":"Van Rossum","year":"1995"},{"key":"ref68","article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems,","author":"Abadi","year":"2015"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref71","article-title":"Adam: A method for stochastic optimization,","author":"Kingma","year":"2015","journal-title":"Int. Conf. Learn. Representations"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00115"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00695"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00217"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2706685"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/4359286\/09409679.pdf?arnumber=9409679","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:25:00Z","timestamp":1704842700000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9409679\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":79,"URL":"https:\/\/doi.org\/10.1109\/tpami.2021.3074363","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}