{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T09:10:49Z","timestamp":1730193049803,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T00:00:00Z","timestamp":1604188800000},"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":[[2020,11]]},"DOI":"10.1109\/3dv50981.2020.00054","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T17:00:57Z","timestamp":1615827657000},"page":"443-451","source":"Crossref","is-referenced-by-count":1,"title":["Recalibration of Neural Networks for Point Cloud Analysis"],"prefix":"10.1109","author":[{"given":"Ignacio","family":"Sarasua","sequence":"first","affiliation":[]},{"given":"Sebastian","family":"Polsterl","sequence":"additional","affiliation":[]},{"given":"Christian","family":"Wachinger","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00571"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462291"},{"key":"ref33","article-title":"3d shapenets: A deep representation for volumetric shapes","author":"wu","year":"2015","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00985"},{"key":"ref31","first-page":"3","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1145\/3326362","article-title":"Dynamic graph CNN for learning on point clouds","author":"wang","year":"2019","journal-title":"ACM TOG"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1145\/2980179.2980238","article-title":"A scalable active framework for region annotation in 3d shape collections","volume":"35","author":"yi","year":"2016","journal-title":"ACM Trans Graph"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00344"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00563"},{"key":"ref34","article-title":"SpiderCNN: Deep learning on point sets with parameterized convolutional filters","author":"xu","year":"2018","journal-title":"ECCV"},{"key":"ref10","first-page":"9401","article-title":"Gather-excite: Exploiting feature context in convolutional neural networks","author":"hu","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref40","first-page":"267","article-title":"Psanet: Point-wise spatial attention network for scene parsing","author":"zhao","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref11","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00109"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.21049"},{"key":"ref14","article-title":"PointCNN: Convolution on x-transformed points","author":"li","year":"2018","journal-title":"NeurIPS"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-2012-112210"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00764"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018778"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00910"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-03813-1_1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.05.053"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-47509-7"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.03.040"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.01.050"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"ref29","article-title":"Local spectral graph convolution for point set feature learning","author":"wang","year":"2018","journal-title":"ECCV"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/sim.4780140108"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_60"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383336"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00513"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-43823-4_37"},{"key":"ref22","first-page":"5099","article-title":"Pointnet++: Deep hierarchical feature learning on point sets in a metric space","author":"qi","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref21","first-page":"4","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","volume":"1","author":"qi","year":"2017","journal-title":"Proc Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2867261"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2972059"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240621"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1007\/978-3-319-51237-2_2","article-title":"Deep spectral-based shape features for alzheimer&#x2019;s disease classification","author":"shakeri","year":"2016","journal-title":"InternationalWorkshop on Spectral and Shape Analysis in Medical Imaging"}],"event":{"name":"2020 International Conference on 3D Vision (3DV)","start":{"date-parts":[[2020,11,25]]},"location":"Fukuoka, Japan","end":{"date-parts":[[2020,11,28]]}},"container-title":["2020 International Conference on 3D Vision (3DV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9320095\/9320098\/09320371.pdf?arnumber=9320371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:48:51Z","timestamp":1656438531000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9320371\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/3dv50981.2020.00054","relation":{},"subject":[],"published":{"date-parts":[[2020,11]]}}}