{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:51:36Z","timestamp":1771458696381,"version":"3.50.1"},"reference-count":35,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,26]]},"DOI":"10.1109\/iccicc50026.2020.9450255","type":"proceedings-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T20:42:15Z","timestamp":1623703335000},"page":"52-59","source":"Crossref","is-referenced-by-count":4,"title":["SAPCGAN: Self-Attention based Generative Adversarial Network for Point Clouds"],"prefix":"10.1109","author":[{"given":"Yushi","family":"Li","sequence":"first","affiliation":[]},{"given":"George","family":"Baciu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013","journal-title":"arXiv preprint arXiv 1312 6203"},{"key":"ref32","first-page":"61","article-title":"Point-grow: Autoregressively learned point cloud generation with self-attention","author":"sun","year":"2020","journal-title":"The IEEE Winter Conference on Applications of Computer Vision"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00464"},{"key":"ref30","first-page":"1009","article-title":"3d point capsule networks","author":"zhao","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref35","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"arXiv preprint arXiv 1609 02907"},{"key":"ref34","article-title":"Deep convolutional networks on graph-structured data","author":"henaff","year":"2015","journal-title":"arXiv preprint arXiv 1506 01051"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00571"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2019.00064"},{"key":"ref12","first-page":"820","article-title":"PointCNN: Convolution on x-transformed points","author":"li","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00985"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3272127.3275110"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00986"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00054"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00534"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.556"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.11"},{"key":"ref28","article-title":"Learning localized generative models for 3d point clouds via graph convolution","author":"valsesia","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref4","first-page":"1912","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"},{"key":"ref27","article-title":"Point cloud gan","author":"li","year":"2018","journal-title":"arXiv preprint arXiv 1810 06008"},{"key":"ref3","article-title":"Wasserstein gan","author":"arjovsky","year":"2017","journal-title":"arXiv preprint arXiv 1701 07875"},{"key":"ref6","first-page":"5648","article-title":"Volumetric and multi-view CNNs for object classification on 3d data","author":"qi","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00396"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353481"},{"key":"ref8","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":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3073608"},{"key":"ref2","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00503"},{"key":"ref1","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":"ref20","article-title":"Neighbors do help: Deeply exploiting local structures of point clouds","volume":"1","author":"shen","year":"2017","journal-title":"arXiv preprint arXiv 1712 06760"},{"key":"ref22","first-page":"1","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"wang","year":"2019","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00478"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_4"},{"key":"ref23","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref26","article-title":"Learning representations and generative models for 3d point clouds","author":"achlioptas","year":"2017","journal-title":"arXiv preprint arXiv 1707 01217"},{"key":"ref25","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","location":"Beijing, China","start":{"date-parts":[[2020,9,26]]},"end":{"date-parts":[[2020,9,28]]}},"container-title":["2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9450047\/9450212\/09450255.pdf?arnumber=9450255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,30]],"date-time":"2021-08-30T22:45:57Z","timestamp":1630363557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9450255\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,26]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/iccicc50026.2020.9450255","relation":{},"subject":[],"published":{"date-parts":[[2020,9,26]]}}}