{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T00:37:24Z","timestamp":1771029444768,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/wacv45572.2020.9093276","type":"proceedings-article","created":{"date-parts":[[2020,5,15]],"date-time":"2020-05-15T03:41:09Z","timestamp":1589514069000},"page":"1687-1695","source":"Crossref","is-referenced-by-count":30,"title":["Frustum VoxNet for 3D object detection from RGB-D or Depth images"],"prefix":"10.1109","author":[{"given":"Xiaoke","family":"Shen","sequence":"first","affiliation":[]},{"given":"Ioannis","family":"Stamos","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.495"},{"key":"ref11","article-title":"Feature pyramid networks for object detection","author":"lin","year":"2016","journal-title":"CoRR abs\/1612 03144"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref13","article-title":"Microsoft COCO: common objects in context","author":"lin","year":"2014","journal-title":"CoRR abs\/1405 0312"},{"key":"ref14","article-title":"Fully convolutional networks for semantic segmentation","author":"long","year":"2014","journal-title":"CoRR abs\/1411 4038"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00937"},{"key":"ref16","article-title":"Frustum pointnets for 3d object detection from RGB-D data","author":"qi","year":"2017","journal-title":"CoRR abs\/1711 08488"},{"key":"ref17","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2016","journal-title":"CoRR abs\/1612 00593"},{"key":"ref18","article-title":"You only look once: Unified, real-time object detection","author":"redmon","year":"2015","journal-title":"CoRR abs\/1506 02640"},{"key":"ref19","article-title":"YOLO9000: better, faster, stronger","author":"redmon","year":"2016","journal-title":"CoRR abs\/1612 08242"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.51"},{"key":"ref4","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","author":"girshick","year":"2013","journal-title":"CoRR abs\/1311 2524"},{"key":"ref27","article-title":"Group normalization","author":"wu","year":"2018","journal-title":"CoRR abs\/1803 08494"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"},{"key":"ref5","article-title":"Learning rich features from RGB-D images for object detection and segmentation","author":"gupta","year":"2014","journal-title":"CoRR abs\/1407 5736"},{"key":"ref8","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"CoRR abs\/1502 03167"},{"key":"ref7","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"CoRR abs\/1512 03385"},{"key":"ref2","author":"everingham","year":"0","journal-title":"The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results"},{"key":"ref9","article-title":"Joint 3D Proposal Generation and Object Detection from View Aggregation","author":"ku","year":"2017","journal-title":"ArXiv e-prints"},{"key":"ref1","article-title":"Multi-view 3d object detection network for autonomous driving","author":"chen","year":"2016","journal-title":"CoRR abs\/1611 07759"},{"key":"ref20","first-page":"91","author":"ren","year":"2015","journal-title":"Advances in Neural Information Processing Systems 28 Annual Conference on Neural Information Processing Systems 2015 December 7-12 2015 Montreal Quebec Canada"},{"key":"ref22","first-page":"arxiv:1905.12683","article-title":"A survey of Object Classification and Detection based on 2D\/3D data","author":"shen","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref21","first-page":"1525","author":"ren","year":"2016","journal-title":"Three-dimensional object detection and layout prediction using clouds of oriented gradients"},{"key":"ref24","article-title":"Deep sliding shapes for amodal 3d object detection in RGB-D images","author":"song","year":"2015","journal-title":"CoRR abs\/1511 02300"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/3DIMPVT.2012.75"},{"key":"ref25","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","location":"Snowmass Village, CO, USA","start":{"date-parts":[[2020,3,1]]},"end":{"date-parts":[[2020,3,5]]}},"container-title":["2020 IEEE Winter Conference on Applications of Computer Vision (WACV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9087828\/9093261\/09093276.pdf?arnumber=9093276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:18:15Z","timestamp":1656602295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9093276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/wacv45572.2020.9093276","relation":{},"subject":[],"published":{"date-parts":[[2020,3]]}}}