{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:24:07Z","timestamp":1750220647944,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,6]],"date-time":"2020-11-06T00:00:00Z","timestamp":1604620800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,6]]},"DOI":"10.1145\/3443467.3443820","type":"proceedings-article","created":{"date-parts":[[2021,2,1]],"date-time":"2021-02-01T23:37:36Z","timestamp":1612222656000},"page":"585-590","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-resolution Dense Network for Point Cloud Completion"],"prefix":"10.1145","author":[{"given":"Sicong","family":"Chen","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, University of Jinan, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengbin","family":"Li","sequence":"additional","affiliation":[{"name":"Orthopedic Surgeon, Shandong Provincial Hospital, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianxin","family":"Li","sequence":"additional","affiliation":[{"name":"Orthopedic Surgeon, Shandong Provincial Hospital, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuyang","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, University of Jinan, Jinan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,2]]},"reference":[{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 770--778","author":"He K","unstructured":"He K, Zhang X, Ren S, et al. 2016. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition. 770--778.","key":"e_1_3_2_1_1_1"},{"unstructured":"Ren S He K Girshick R et al. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems. 91--99.","key":"e_1_3_2_1_2_1"},{"volume-title":"End-to-end unsupervised deformable image registration with a convolutional neural network. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support","author":"de Vos B D","unstructured":"de Vos B D, Berendsen F F, Viergever M A, et al. 2017. End-to-end unsupervised deformable image registration with a convolutional neural network. Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer, Cham, 204--212.","key":"e_1_3_2_1_3_1"},{"volume-title":"Proceedings of the IEEE international conference on computer vision. 2961--2969","author":"He K","unstructured":"He K, Gkioxari G, Doll\u00e1r P, et al. 2017. Mask r-cnn. In Proceedings of the IEEE international conference on computer vision. 2961--2969.","key":"e_1_3_2_1_4_1"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 2117--2125","author":"Lin T Y","unstructured":"Lin T Y, Doll\u00e1r P, Girshick R, et al. 2017. Feature pyramid networks for object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition. 2117--2125.","key":"e_1_3_2_1_5_1"},{"key":"e_1_3_2_1_6_1","volume-title":"Multiple Spaces Deep Hashing for Image Retrieval. In 2020 12th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 397--401","author":"Wang X","year":"2020","unstructured":"Wang X, Guo Q, Zhao X. 2020. Multiple Spaces Deep Hashing for Image Retrieval. In 2020 12th International Conference on Advanced Computational Intelligence (ICACI). IEEE, 397--401."},{"volume-title":"2009 IEEE conference on computer vision and pattern recognition. Ieee, 248--255","author":"Deng J","unstructured":"Deng J, Dong W, Socher R, et al. 2009. Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition. Ieee, 248--255.","key":"e_1_3_2_1_7_1"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660","author":"Qi C R","unstructured":"Qi C R, Su H, Mo K, et al. 2017. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660.","key":"e_1_3_2_1_8_1"},{"volume-title":"International conference on machine learning. PMLR, 40--49","author":"Achlioptas P","unstructured":"Achlioptas P, Diamanti O, Mitliagkas I, et al. 2018. Learning representations and generative models for 3d point clouds. In International conference on machine learning. PMLR, 40--49.","key":"e_1_3_2_1_9_1"},{"volume-title":"2018 International Conference on 3D Vision (3DV). IEEE, 728--737","author":"Yuan W","unstructured":"Yuan W, Khot T, Held D, et al. 2018. Pcn: Point completion network. In 2018 International Conference on 3D Vision (3DV). IEEE, 728--737.","key":"e_1_3_2_1_10_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_11_1","DOI":"10.1109\/CVPR.2019.00605"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 206--215","author":"Yang Y","unstructured":"Yang Y, Feng C, Shen Y, et al. 2018. Foldingnet: Point cloud auto-encoder via deep grid deformation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 206--215.","key":"e_1_3_2_1_12_1"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 1009--1018","author":"Zhao Y","unstructured":"Zhao Y, Birdal T, Deng H, et al. 2019. 3D point capsule networks. In Proceedings of the IEEE conference on computer vision and pattern recognition. 1009--1018.","key":"e_1_3_2_1_13_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_14_1","DOI":"10.1145\/2816795.2818094"},{"volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5676--5684","author":"Thanh Nguyen D","unstructured":"Thanh Nguyen D, Hua B S, Tran K, et al. 2016. A field model for repairing 3d shapes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 5676--5684.","key":"e_1_3_2_1_15_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1145\/2185520.2185551"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1109\/CVPR.2017.693"},{"volume-title":"Proceedings of the IEEE international conference on computer vision. 945--953","author":"Su H","unstructured":"Su H, Maji S, Kalogerakis E, et al. 2015. Multi-view convolutional neural networks for 3d shape recognition. In Proceedings of the IEEE international conference on computer vision. 945--953.","key":"e_1_3_2_1_18_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/CVPR.2018.00209"},{"unstructured":"Qi C R Yi L Su H et al. 2017. Pointnet++: Deep hierarchical feature learning on point sets in a metric space. Advances in neural information processing systems. 5099--5108.","key":"e_1_3_2_1_20_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_21_1","DOI":"10.1145\/2980179.2980238"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_22_1","DOI":"10.1007\/978-3-030-01234-2_7"},{"volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 7662--7670","author":"Huang Z","unstructured":"Huang Z, Yu Y, Xu J, et al. 2020. PF-Net: Point Fractal Network for 3D Point Cloud Completion. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 7662--7670.","key":"e_1_3_2_1_23_1"}],"event":{"acronym":"EITCE 2020","name":"EITCE 2020: 2020 4th International Conference on Electronic Information Technology and Computer Engineering","location":"Xiamen China"},"container-title":["Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3443467.3443820","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3443467.3443820","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:18Z","timestamp":1750197738000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3443467.3443820"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,6]]},"references-count":23,"alternative-id":["10.1145\/3443467.3443820","10.1145\/3443467"],"URL":"https:\/\/doi.org\/10.1145\/3443467.3443820","relation":{},"subject":[],"published":{"date-parts":[[2020,11,6]]},"assertion":[{"value":"2021-02-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}