{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T11:44:14Z","timestamp":1742643854686,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,8,24]],"date-time":"2021-08-24T00:00:00Z","timestamp":1629763200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,24]]},"DOI":"10.1109\/ist50367.2021.9651471","type":"proceedings-article","created":{"date-parts":[[2021,12,27]],"date-time":"2021-12-27T21:27:47Z","timestamp":1640640467000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Monocularly Generated 3D High Level Semantic Model by Integrating Deep Learning Models and Traditional Vision Techniques"],"prefix":"10.1109","author":[{"given":"Steven","family":"Alsheimer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"journal-title":"Open Source Python Rendering","year":"2018","author":"matl","key":"ref10"},{"key":"ref11","article-title":"3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model","author":"sanja","year":"2012","journal-title":"In Proc NeurlIPS 2012 Conference"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"journal-title":"3D Reconstruction from Multiple Images","year":"2014","author":"mccann","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.5.001127"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref17","article-title":"A robust shape model for multi-view car alignment","author":"li","year":"2019","journal-title":"Computer Vision and Pattern Recognition (CVPR) 2009 IEEE Conf on"},{"key":"ref18","article-title":"A Dual-Path Model With Adaptive Attention for Vehicle ReIdentification","author":"pirazh","year":"2019","journal-title":"The IEEE International Conference on Computer Vision (ICCV) 2019"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","article-title":"Microsof COCO: Common Objects in Context","author":"lin","year":"2014","journal-title":"In Proc Computer Vision &#x2013; ECCV 2014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00256"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793621"},{"key":"ref6","article-title":"Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow","author":"abdulla","year":"2017","journal-title":"GitHub repository GitHub"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref8","article-title":"Open3D: A Modern Library for 3D Data Processing","author":"zhou","year":"2018","journal-title":"arXiv 1801 09847"},{"journal-title":"ITseez Open Source Computer Vision Library Github repository Github","year":"2015","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.699"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00393"},{"journal-title":"Trimesh2","year":"2019","author":"haggerty","key":"ref9"}],"event":{"name":"2021 IEEE International Conference on Imaging Systems and Techniques (IST)","start":{"date-parts":[[2021,8,24]]},"location":"Kaohsiung, Taiwan","end":{"date-parts":[[2021,8,26]]}},"container-title":["2021 IEEE International Conference on Imaging Systems and Techniques (IST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9651277\/9651324\/09651471.pdf?arnumber=9651471","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:59:55Z","timestamp":1652201995000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9651471\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,24]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/ist50367.2021.9651471","relation":{},"subject":[],"published":{"date-parts":[[2021,8,24]]}}}