{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:03:34Z","timestamp":1777655014478,"version":"3.51.4"},"reference-count":62,"publisher":"Tsinghua University Press","issue":"3","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T00:00:00Z","timestamp":1646697600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s41095-021-0252-6","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T05:02:51Z","timestamp":1646715771000},"page":"395-414","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["ARM3D: Attention-based relation module for indoor 3D object detection"],"prefix":"10.26599","volume":"8","author":[{"given":"Yuqing","family":"Lan","sequence":"first","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Duan","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyi","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenyang","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yueshan","family":"Xiong","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen University, Shenzhen 518061, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer, National University of Defense Technology, Changsha 410073, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"11138","reference":[{"key":"252_CR1","doi-asserted-by":"crossref","unstructured":"Charles, R. Q.; Hao, S.; Mo, K. C.; Guibas, L. J. PointNet: Deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 77\u201385, 2017.","DOI":"10.1109\/CVPR.2017.16"},{"key":"252_CR2","unstructured":"Li, Y.; Bu, R.; Sun, M.; Wu, W.; Di, X.; Chen, B. PointCNN: Convolution on X-transformed points. In: Proceedings of the 32nd Conference on Neural Information Processing Systems, 820\u2013830, 2018."},{"key":"252_CR3","unstructured":"Qi, C. R.; Yi, L.; Su, H.; Guibas, L. J. PointNet++: Deep hierarchical feature learning on point sets in a metric space. In: Proceedings of the 31st Conference on Neural Information Processing Systems, 5099\u20135108, 2017."},{"key":"252_CR4","doi-asserted-by":"crossref","unstructured":"Wu, W. X.; Qi, Z. A.; Li, F. X. PointConv: Deep convolutional networks on 3D point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9613\u20139622, 2019.","DOI":"10.1109\/CVPR.2019.00985"},{"key":"252_CR5","doi-asserted-by":"crossref","unstructured":"Yi, L.; Zhao, W.; Wang, H.; Sung, M.; Guibas, L. J. GSPN: Generative shape proposal network for 3D instance segmentation in point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3942\u20133951, 2019.","DOI":"10.1109\/CVPR.2019.00407"},{"key":"252_CR6","doi-asserted-by":"crossref","unstructured":"Qi, C. R.; Litany, O.; He, K. M.; Guibas, L. Deep Hough voting for 3D object detection in point clouds. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 9276\u20139285, 2019.","DOI":"10.1109\/ICCV.2019.00937"},{"key":"252_CR7","doi-asserted-by":"crossref","unstructured":"Xie, Q.; Lai, Y. K.; Wu, J.; Wang, Z. T.; Zhang, Y. M.; Xu, K.; Wang, J. MLCVNet: Multi-level context VoteNet for 3D object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10444\u201310453, 2020.","DOI":"10.1109\/CVPR42600.2020.01046"},{"key":"252_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-030-58610-2_19","volume-title":"Computer Vision \u2014 ECCV 2020","author":"Z Zhang","year":"2020","unstructured":"Zhang, Z.; Sun, B.; Yang, H.; Huang, Q. H3DNet: 3D object detection using hybrid geometric primitives. In: Computer Vision \u2014 ECCV 2020. Lecture Notes in Computer Science, Vol. 12357. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J. M. Eds. Springer Cham, 311\u2013329, 2020."},{"key":"252_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, B. W.; Sheng, L.; Shi, S. S.; Yang, M.; Xu, D. Back-tracing representative points for voting-based 3D object detection in point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 8959\u20138968, 2021.","DOI":"10.1109\/CVPR46437.2021.00885"},{"key":"252_CR10","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.cag.2021.04.033","volume":"98","author":"Y Q Lan","year":"2021","unstructured":"Lan, Y. Q.; Duan, Y.; Shi, Y. F.; Huang, H.; Xu, K. 3DRM: Pair-wise relation module for 3D object detection. Computers & Graphics Vol. 98, 58\u201370, 2021.","journal-title":"Computers & Graphics"},{"key":"252_CR11","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.cag.2015.11.003","volume":"55","author":"Y F Shi","year":"2016","unstructured":"Shi, Y. F.; Long, P. X.; Xu, K.; Huang, H.; Xiong, Y. S. Data-driven contextual modeling for 3D scene understanding. Computers & Graphics Vol. 55, 55\u201367, 2016.","journal-title":"Computers & Graphics"},{"key":"252_CR12","doi-asserted-by":"crossref","unstructured":"Qi, X. J.; Liao, R. J.; Jia, J. Y.; Fidler, S.; Urtasun, R. 3D graph neural networks for RGBD semantic segmentation. In: Proceedings of the IEEE International Conference on Computer Vision, 5209\u20135218, 2017.","DOI":"10.1109\/ICCV.2017.556"},{"key":"252_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, Y.; Bai, M.; Kohli, P.; Izadi, S.; Xiao, J. DeepContext: Context-encoding neural pathways for 3D holistic scene understanding. In: Proceedings of the IEEE International Conference on Computer Vision, 1201\u20131210, 2017.","DOI":"10.1109\/ICCV.2017.135"},{"key":"252_CR14","doi-asserted-by":"crossref","unstructured":"Hu, H.; Gu, J. Y.; Zhang, Z.; Dai, J. F.; Wei, Y. C. Relation networks for object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 3588\u20133597, 2018.","DOI":"10.1109\/CVPR.2018.00378"},{"key":"252_CR15","doi-asserted-by":"crossref","unstructured":"Xu, H.; Jiang, C. H.; Liang, X. D.; Li, Z. G. Spatial-aware graph relation network for large-scale object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9290\u20139299, 2019.","DOI":"10.1109\/CVPR.2019.00952"},{"key":"252_CR16","doi-asserted-by":"crossref","unstructured":"Dai, A.; Chang, A. X.; Savva, M.; Halber, M.; Funkhouser, T.; Niessner, M. ScanNet: Richly-annotated 3D reconstructions of indoor scenes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2432\u20132443, 2017.","DOI":"10.1109\/CVPR.2017.261"},{"key":"252_CR17","doi-asserted-by":"crossref","unstructured":"Song, S. R.; Lichtenberg, S. P.; Xiao, J. X. SUN RGB-D: A RGB-D scene understanding benchmark suite. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 567\u2013576, 2015.","DOI":"10.1109\/CVPR.2015.7298655"},{"key":"252_CR18","doi-asserted-by":"crossref","unstructured":"Lin, D. H.; Fidler, S.; Urtasun, R. Holistic scene understanding for 3D object detection with RGBD cameras. In: Proceedings of the IEEE International Conference on Computer Vision, 1417\u20131424, 2013.","DOI":"10.1109\/ICCV.2013.179"},{"key":"252_CR19","doi-asserted-by":"crossref","unstructured":"Shi, Y. F.; Chang, A. X.; Wu, Z. L.; Savva, M.; Xu, K. Hierarchy denoising recursive autoencoders for 3D scene layout prediction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 1771\u20131780, 2019.","DOI":"10.1109\/CVPR.2019.00187"},{"key":"252_CR20","doi-asserted-by":"crossref","unstructured":"Chen, J. T.; Lei, B. W.; Song, Q. Y.; Ying, H. C.; Chen, D. Z.; Wu, J. A hierarchical graph network for 3D object detection on point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 392\u2013401, 2020.","DOI":"10.1109\/CVPR42600.2020.00047"},{"key":"252_CR21","doi-asserted-by":"crossref","unstructured":"Qi, C. R.; Liu, W.; Wu, C. X.; Su, H.; Guibas, L. J. Frustum PointNets for 3D object detection from RGB-D data. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 918\u2013927, 2018.","DOI":"10.1109\/CVPR.2018.00102"},{"key":"252_CR22","doi-asserted-by":"crossref","unstructured":"Chen, X. Z.; Ma, H. M.; Wan, J.; Li, B.; Xia, T. Multi-view 3D object detection network for autonomous driving. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1907\u20131915, 2017.","DOI":"10.1109\/CVPR.2017.691"},{"key":"252_CR23","doi-asserted-by":"crossref","unstructured":"Ku, J.; Mozifian, M.; Lee, J.; Harakeh, A.; Waslander, S. L. Joint 3D proposal generation and object detection from view aggregation. In: Proceedings of the IEEE\/RSJ International Conference on Intelligent Robots and Systems, 1\u20138, 2018.","DOI":"10.1109\/IROS.2018.8594049"},{"key":"252_CR24","doi-asserted-by":"crossref","unstructured":"Shi, S. S.; Wang, X. G.; Li, H. S. PointRCNN: 3D object proposal generation and detection from point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 770\u2013779, 2019.","DOI":"10.1109\/CVPR.2019.00086"},{"key":"252_CR25","doi-asserted-by":"crossref","unstructured":"Wang, P.-S.; Liu, Y.; Guo, Y.-X.; Sun, C.-Y.; Tong, X. O-CNN: Octree-based convolutional neural networks for 3D shape analysis. ACM Transactions on Graphics Vol. 36, No. 4, Article No. 72, 2017.","DOI":"10.1145\/3072959.3073608"},{"key":"252_CR26","doi-asserted-by":"crossref","unstructured":"Atzmon, M.; Maron, H.; Lipman, Y. Point convolutional neural networks by extension operators. arXiv preprint arXiv:1803.10091, 2018.","DOI":"10.1145\/3197517.3201301"},{"issue":"10","key":"252_CR27","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.3390\/s18103337","volume":"18","author":"Y Yan","year":"2018","unstructured":"Yan, Y.; Mao, Y. X.; Li, B. SECOND: Sparsely embedded convolutional detection. Sensors (Basel) Vol. 18, No. 10, 3337, 2018.","journal-title":"Sensors (Basel)"},{"key":"252_CR28","doi-asserted-by":"crossref","unstructured":"Lang, A. H.; Vora, S.; Caesar, H.; Zhou, L. B.; Yang, J.; Beijbom, O. PointPillars: Fast encoders for object detection from point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 12689\u201312697, 2019.","DOI":"10.1109\/CVPR.2019.01298"},{"issue":"8","key":"252_CR29","first-page":"2647","volume":"43","author":"S S Shi","year":"2021","unstructured":"Shi, S. S.; Wang, Z.; Shi, J. P.; Wang, X. G.; Li, H. S. From points to parts: 3D object detection from point cloud with part-aware and part-aggregation network. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43, No. 8, 2647\u20132664, 2021.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"252_CR30","doi-asserted-by":"crossref","unstructured":"Pang, G.; Neumann, U. 3D point cloud object detection with multi-view convolutional neural network. In: Proceedings of the 23rd International Conference on Pattern Recognition, 585\u2013590, 2016.","DOI":"10.1109\/ICPR.2016.7899697"},{"key":"252_CR31","doi-asserted-by":"crossref","unstructured":"Lahoud, J.; Ghanem, B. 2D-driven 3D object detection in RGB-D images. In: Proceedings of the IEEE International Conference on Computer Vision, 4632\u20134640, 2017.","DOI":"10.1109\/ICCV.2017.495"},{"key":"252_CR32","unstructured":"Ren, S. Q.; He, K. M.; Girshick, R.; Sun, J. Faster R-CNN: Towards real-time object detection with region proposal networks. In: Proceedings of the 28th International Conference on Neural Information Processing Systems, 91\u201399, 2015."},{"key":"252_CR33","doi-asserted-by":"crossref","unstructured":"Yang, Z. T.; Sun, Y. N.; Liu, S.; Jia, J. Y. 3DSSD: Point-based 3D single stage object detector. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 11037\u201311045, 2020.","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"252_CR34","doi-asserted-by":"crossref","unstructured":"Engelmann, F.; Bokeloh, M.; Fathi, A.; Leibe, B.; NieBner, M. 3D-MPA: Multi-proposal aggregation for 3D semantic instance segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9028\u20139037, 2020.","DOI":"10.1109\/CVPR42600.2020.00905"},{"key":"252_CR35","unstructured":"Huang, S.; Qi, S.; Xiao, Y.; Zhu, Y.; Wu, Y. N.; Zhu, S.-C. Cooperative holistic scene understanding: Unifying 3D object, layout, and camera pose estimation. In: Proceedings of the 32nd Conference on Neural Information Processing System, 207\u2013218, 2018."},{"key":"252_CR36","unstructured":"Santoro, A.; Raposo, D.; Barrett, D. G.; Malinowski, M.; Pascanu, R.; Battaglia, P.; Lillicrap, T. A simple neural network module for relational reasoning. In: Proceedings of the 31st Conference on Neural Information Processing Systems, 4967\u20134976, 2017."},{"key":"252_CR37","doi-asserted-by":"crossref","unstructured":"Mou, L. C.; Hua, Y. S.; Zhu, X. X. A relation-augmented fully convolutional network for semantic segmentation in aerial scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 12408\u201312417, 2019.","DOI":"10.1109\/CVPR.2019.01270"},{"key":"252_CR38","doi-asserted-by":"crossref","unstructured":"Li, X.; Yang, Y. B.; Zhao, Q. J.; Shen, T. C.; Lin, Z. C.; Liu, H. Spatial pyramid based graph reasoning for semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 8947\u20138956, 2020.","DOI":"10.1109\/CVPR42600.2020.00897"},{"key":"252_CR39","doi-asserted-by":"crossref","unstructured":"Chen, X. L.; Gupta, A. Spatial memory for context reasoning in object detection. In: Proceedings of the IEEE International Conference on Computer Vision, 4086\u20134096, 2017.","DOI":"10.1109\/ICCV.2017.440"},{"key":"252_CR40","doi-asserted-by":"crossref","unstructured":"Cui, Q. J.; Sun, H. J.; Yang, F. Learning dynamic relationships for 3D human motion prediction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 6518\u20136526, 2020.","DOI":"10.1109\/CVPR42600.2020.00655"},{"key":"252_CR41","doi-asserted-by":"crossref","unstructured":"Huang, Y. F.; Sugano, Y.; Sato, Y. Improving action segmentation via graph-based temporal reasoning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 14021\u201314031, 2020.","DOI":"10.1109\/CVPR42600.2020.01404"},{"issue":"1","key":"252_CR42","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s11263-016-0981-7","volume":"123","author":"R Krishna","year":"2017","unstructured":"Krishna, R.; Zhu, Y. K.; Groth, O.; Johnson, J.; Hata, K. J.; Kravitz, J.; Chen, S.; Kalantidis, Y.; Li, L.-J.; Shamma, D. A.; et al. Visual genome: Connecting language and vision using crowdsourced dense image annotations. International Journal of Computer Vision Vol. 123, No. 1, 32\u201373, 2017.","journal-title":"International Journal of Computer Vision"},{"key":"252_CR43","doi-asserted-by":"crossref","unstructured":"Liu, C. C.; Jin, Y.; Xu, K. H.; Gong, G. Q.; Mu, Y. D. Beyond short-term snippet: Video relation detection with spatio-temporal global context. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10837\u201310846, 2020.","DOI":"10.1109\/CVPR42600.2020.01085"},{"key":"252_CR44","doi-asserted-by":"crossref","unstructured":"Cadene, R.; Ben-Younes, H.; Cord, M.; Thome, N. MUREL: Multimodal relational reasoning for visual question answering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 1989\u20131998, 2019.","DOI":"10.1109\/CVPR.2019.00209"},{"key":"252_CR45","doi-asserted-by":"crossref","unstructured":"Sung, F.; Yang, Y. X.; Zhang, L.; Xiang, T.; Torr, P. H. S.; Hospedales, T. M. Learning to compare: Relation network for few-shot learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 1199\u20131208, 2018.","DOI":"10.1109\/CVPR.2018.00131"},{"key":"252_CR46","doi-asserted-by":"crossref","unstructured":"Wang, W. B.; Wang, R. P.; Shan, S. G.; Chen, X. L. Exploring context and visual pattern of relationship for scene graph generation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 8180\u20138189, 2019.","DOI":"10.1109\/CVPR.2019.00838"},{"key":"252_CR47","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.gmod.2016.03.004","volume":"85","author":"S S Huang","year":"2016","unstructured":"Huang, S. S.; Fu, H. B.; Hu, S. M. Structure guided interior scene synthesis via graph matching. Graphical Models Vol. 85, 46\u201355, 2016.","journal-title":"Graphical Models"},{"key":"252_CR48","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/978-3-319-65849-0_26","volume-title":"E-Learning and Games","author":"P Song","year":"2017","unstructured":"Song, P.; Zheng, Y.; Jia, J. Web3d learning platform of furniture layout based on case-based reasoning and distance field. In: E-Learning and Games. Lecture Notes in Computer Science, Vol. 10345. Tian, F.; Gatzidis, C.; El Rhalibi, A.; Tang, W.; Charles, F. Eds. Springer Cham, 235\u2013250, 2017."},{"key":"252_CR49","doi-asserted-by":"crossref","unstructured":"Duan, Y. Q.; Zheng, Y.; Lu, J. W.; Zhou, J.; Tian, Q. Structural relational reasoning of point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 949\u2013958, 2019.","DOI":"10.1109\/CVPR.2019.00104"},{"key":"252_CR50","doi-asserted-by":"crossref","unstructured":"Kulkarni, N.; Misra, I.; Tulsiani, S.; Gupta, A. 3D-RelNet: Joint object and relational network for 3D prediction. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2212\u20132221, 2019.","DOI":"10.1109\/ICCV.2019.00230"},{"key":"252_CR51","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.isprsjprs.2020.05.008","volume":"165","author":"Y Li","year":"2020","unstructured":"Li, Y.; Ma, L. F.; Tan, W. K.; Sun, C.; Cao, D. P.; Li, J. GRNet: Geometric relation network for 3D object detection from point clouds. ISPRS Journal of Photogrammetry and Remote Sensing Vol. 165, 43\u201353, 2020.","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"252_CR52","doi-asserted-by":"crossref","unstructured":"Wang, L.; Huang, Y. C.; Hou, Y. L.; Zhang, S. M.; Shan, J. Graph attention convolution for point cloud semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 10288\u201310297, 2019.","DOI":"10.1109\/CVPR.2019.01054"},{"key":"252_CR53","unstructured":"Chen, C.; Fragonara, L. Z.; Tsourdos, A. GAPNet: Graph attention based point neural network for exploiting local feature of point cloud. arXiv preprint arXiv:1905.08705, 2019."},{"key":"252_CR54","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.isprsjprs.2021.01.007","volume":"173","author":"C C Wen","year":"2021","unstructured":"Wen, C. C.; Li, X.; Yao, X. J.; Peng, L.; Chi, T. H. Airborne LiDAR point cloud classification with global-local graph attention convolution neural network. ISPRS Journal of Photogrammetry and Remote Sensing Vol. 173, 181\u2013194, 2021.","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"252_CR55","doi-asserted-by":"crossref","unstructured":"Wen, X.; Li, T. Y.; Han, Z. Z.; Liu, Y. S. Point cloud completion by skip-attention network with hierarchical folding. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 1936\u20131945, 2020.","DOI":"10.1109\/CVPR42600.2020.00201"},{"key":"252_CR56","doi-asserted-by":"crossref","unstructured":"Wang, Y.; Solomon, J. Deep closest point: Learning representations for point cloud registration. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 3522\u20133531, 2019.","DOI":"10.1109\/ICCV.2019.00362"},{"key":"252_CR57","series-title":"Lecture Notes in Computer Science","first-page":"607","volume-title":"Computer Vision \u2014 ECCV 2018","author":"Z J Yew","year":"2018","unstructured":"Yew, Z. J.; Lee, G. H. 3DFeat-Net: Weakly supervised local 3D features for point cloud registration. In: Computer Vision \u2014 ECCV 2018. Lecture Notes in Computer Science, Vol. 11219. Ferrari, V.; Hebert, M.; Sminchisescu, C.; Weiss, Y. Eds. Springer Cham, 607\u2013623, 2018."},{"key":"252_CR58","doi-asserted-by":"crossref","unstructured":"Zhang, W. X.; Xiao, C. X. PCAN: 3D attention map learning using contextual information for point cloud based retrieval. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 12428\u201312437, 2019.","DOI":"10.1109\/CVPR.2019.01272"},{"key":"252_CR59","doi-asserted-by":"crossref","unstructured":"Sun, Q.; Liu, H. Y.; He, J.; Fan, Z. X.; Du, X. Y. DAGC: Employing dual attention and graph convolution for point cloud based place recognition. In: Proceedings of the International Conference on Multimedia Retrieval, 224\u2013232, 2020.","DOI":"10.1145\/3372278.3390693"},{"issue":"2","key":"252_CR60","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s41095-021-0229-5","volume":"7","author":"M H Guo","year":"2021","unstructured":"Guo, M. H.; Cai, J. X.; Liu, Z. N.; Mu, T. J.; Martin, R. R.; Hu, S. M. PCT: Point cloud transformer. Computational Visual Media Vol. 7, No. 2, 187\u2013199, 2021.","journal-title":"Computational Visual Media"},{"key":"252_CR61","doi-asserted-by":"crossref","unstructured":"Zhao, H.; Jiang, L.; Jia, J.; Torr, P.; Koltun, V. Point transformer. arXiv preprint arXiv:2012.09164, 2020.","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"252_CR62","unstructured":"Paszke, A.; Gross, S.; Massa, F.; Lerer, A.; Bradbury, J.; Chanan, G.; Killeen, T.; Lin, Z.; Gimelshein, N.; Antiga, L.; et al. PyTorch: An imperative style, high-performance deep learning library. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems, 8026\u20138037, 2019."}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-021-0252-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41095-021-0252-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-021-0252-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10897528\/10897533.pdf?arnumber=10897533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:41Z","timestamp":1762367921000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10897533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":62,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1007\/s41095-021-0252-6","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"value":"2096-0662","type":"electronic"},{"value":"2096-0433","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9]]},"assertion":[{"value":"26 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 August 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration of competing interest"}}]}}