{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T16:17:16Z","timestamp":1782317836255,"version":"3.54.5"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031784552","type":"print"},{"value":"9783031784569","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-78456-9_27","type":"book-chapter","created":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T11:24:58Z","timestamp":1733138698000},"page":"420-435","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multimodal Point Cloud Completion via Residual Attention Feature Fusion"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4247-9990","authenticated-orcid":false,"given":"Junkang","family":"Wan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5124-2929","authenticated-orcid":false,"given":"Yubin","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,3]]},"reference":[{"key":"27_CR1","first-page":"37349","volume":"35","author":"E Aiello","year":"2022","unstructured":"Aiello, E., Valsesia, D., Magli, E.: Cross-modal learning for image-guided point cloud shape completion. Adv. Neural. Inf. Process. Syst. 35, 37349\u201337362 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"27_CR2","unstructured":"Chang, A.X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et\u00a0al.: Shapenet: An information-rich 3d model repository. arXiv preprint arXiv:1512.03012 (2015)"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Z., Long, F., Qiu, Z., Yao, T., Zhou, W., Luo, J., Mei, T.: Anchorformer: Point cloud completion from discriminative nodes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 13581\u201313590 (2023)","DOI":"10.1109\/CVPR52729.2023.01305"},{"key":"27_CR4","doi-asserted-by":"crossref","unstructured":"Choy, C.B., Xu, D., Gwak, J., Chen, K., Savarese, S.: 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction. In: European Conference on Computer Vision. pp. 628\u2013644 (2016)","DOI":"10.1007\/978-3-319-46484-8_38"},{"key":"27_CR5","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1109\/ACCESS.2018.2886213","volume":"7","author":"PM Chu","year":"2018","unstructured":"Chu, P.M., Sung, Y., Cho, K.: Generative adversarial network-based method for transforming single rgb image into 3d point cloud. IEEE Access 7, 1021\u20131029 (2018)","journal-title":"IEEE Access"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Fan, H., Su, H., Guibas, L.J.: A point set generation network for 3d object reconstruction from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern recognition. pp. 605\u2013613 (2017)","DOI":"10.1109\/CVPR.2017.264"},{"issue":"11","key":"27_CR7","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1177\/0278364913491297","volume":"32","author":"A Geiger","year":"2013","unstructured":"Geiger, A., Lenz, P., Stiller, C., Urtasun, R.: Vision meets robotics: The kitti dataset. The International Journal of Robotics Research 32(11), 1231\u20131237 (2013)","journal-title":"The International Journal of Robotics Research"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"Gong, B., Nie, Y., Lin, Y., Han, X., Yu, Y.: Me-pcn: Point completion conditioned on mask emptiness. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 12488\u201312497 (2021)","DOI":"10.1109\/ICCV48922.2021.01226"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Kato, S., Tokunaga, S., Maruyama, Y., Maeda, S., Hirabayashi, M., Kitsukawa, Y., Monrroy, A., Ando, T., Fujii, Y., Azumi, T.: Autoware on board: Enabling autonomous vehicles with embedded systems. In: 2018 ACM\/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS). pp. 287\u2013296 (2018)","DOI":"10.1109\/ICCPS.2018.00035"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Mandikal, P., Radhakrishnan, V.B.: Dense 3d point cloud reconstruction using a deep pyramid network. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 1052\u20131060 (2019)","DOI":"10.1109\/WACV.2019.00117"},{"key":"27_CR12","volume-title":"Fast marching farthest point sampling","author":"C Moenning","year":"2003","unstructured":"Moenning, C., Dodgson, N.A.: Fast marching farthest point sampling. University of Cambridge, Computer Laboratory, Tech. rep. (2003)"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Pan, L., Chen, X., Cai, Z., Zhang, J., Zhao, H., Yi, S., Liu, Z.: Variational relational point completion network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern recognition. pp. 8524\u20138533 (2021)","DOI":"10.1109\/CVPR46437.2021.00842"},{"issue":"1","key":"27_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2300000035","volume":"4","author":"F Pomerleau","year":"2015","unstructured":"Pomerleau, F., Colas, F., Siegwart, R., et al.: A review of point cloud registration algorithms for mobile robotics. Foundations and Trends in Robotics 4(1), 1\u2013104 (2015)","journal-title":"Foundations and Trends in Robotics"},{"key":"27_CR15","unstructured":"Qi, C.R., Su, H., Mo, K., 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. pp. 652\u2013660 (2017)"},{"key":"27_CR16","first-page":"5105","volume":"30","author":"CR Qi","year":"2017","unstructured":"Qi, C.R., Yi, L., Su, H., Guibas, L.J.: Pointnet++: Deep hierarchical feature learning on point sets in a metric space. Adv. Neural. Inf. Process. Syst. 30, 5105\u20135114 (2017)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"27_CR17","first-page":"6000","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141, Polosukhin, I.: Attention is all you need. Adv. Neural. Inf. Process. Syst. 30, 6000\u20136010 (2017)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"5","key":"27_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3326362","volume":"38","author":"Y Wang","year":"2019","unstructured":"Wang, Y., Sun, Y., Liu, Z., Sarma, S.E., Bronstein, M.M., Solomon, J.M.: Dynamic graph cnn for learning on point clouds. ACM Transactions on Graphics (TOG) 38(5), 1\u201312 (2019)","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"27_CR19","doi-asserted-by":"crossref","unstructured":"Wu, L., Zhang, Q., Hou, J., Xu, Y.: Leveraging single-view images for unsupervised 3d point cloud completion. IEEE Transactions on Multimedia pp. 1\u201314 (2023)","DOI":"10.1109\/TMM.2023.3340892"},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Xiang, P., Wen, X., Liu, Y.S., Cao, Y.P., Wan, P., Zheng, W., Han, Z.: Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 5499\u20135509 (2021)","DOI":"10.1109\/ICCV48922.2021.00545"},{"key":"27_CR21","doi-asserted-by":"crossref","unstructured":"Xie, H., Yao, H., Zhou, S., Mao, J., Zhang, S., Sun, W.: Grnet: Gridding residual network for dense point cloud completion. In: European Conference on Computer Vision. pp. 365\u2013381 (2020)","DOI":"10.1007\/978-3-030-58545-7_21"},{"key":"27_CR22","doi-asserted-by":"crossref","unstructured":"Yang, Y., Feng, C., Shen, Y., Tian, D.: Foldingnet: Point cloud auto-encoder via deep grid deformation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 206\u2013215 (2018)","DOI":"10.1109\/CVPR.2018.00029"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Yu, X., Rao, Y., Wang, Z., Liu, Z., Lu, J., Zhou, J.: Pointr: Diverse point cloud completion with geometry-aware transformers. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 12498\u201312507 (2021)","DOI":"10.1109\/ICCV48922.2021.01227"},{"key":"27_CR24","doi-asserted-by":"crossref","unstructured":"Yuan, W., Khot, T., Held, D., Mertz, C., Hebert, M.: Pcn: Point completion network. In: 2018 International Conference on 3D Vision (3DV). pp. 728\u2013737 (2018)","DOI":"10.1109\/3DV.2018.00088"},{"key":"27_CR25","doi-asserted-by":"crossref","unstructured":"Zhang, K., Yang, X., Wu, Y., Jin, C.: Attention-based transformation from latent features to point clouds. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a036, pp. 3291\u20133299 (2022)","DOI":"10.1609\/aaai.v36i3.20238"},{"key":"27_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Hou, J., Qian, Y.: Pointmcd: Boosting deep point cloud encoders via multi-view cross-modal distillation for 3d shape recognition. IEEE Transactions on Multimedia (2023)","DOI":"10.1109\/TMM.2023.3286981"},{"key":"27_CR27","doi-asserted-by":"crossref","unstructured":"Zhang, X., Feng, Y., Li, S., Zou, C., Wan, H., Zhao, X., Guo, Y., Gao, Y.: View-guided point cloud completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. pp. 15890\u201315899 (2021)","DOI":"10.1109\/CVPR46437.2021.01563"},{"key":"27_CR28","doi-asserted-by":"crossref","unstructured":"Zhao, H., Jiang, L., Jia, J., Torr, P.H., Koltun, V.: Point transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision. pp. 16259\u201316268 (2021)","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"27_CR29","doi-asserted-by":"crossref","unstructured":"Zhou, H., Cao, Y., Chu, W., Zhu, J., Lu, T., Tai, Y., Wang, C.: Seedformer: Patch seeds based point cloud completion with upsample transformer. In: European Conference on Computer Vision. pp. 416\u2013432 (2022)","DOI":"10.1007\/978-3-031-20062-5_24"},{"key":"27_CR30","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Nan, L., Xie, H., Chen, H., Wang, J., Wei, M., Qin, J.: Csdn: Cross-modal shape-transfer dual-refinement network for point cloud completion. IEEE Transactions on Visualization and Computer Graphics pp. 3545\u20133563 (2023)","DOI":"10.1109\/TVCG.2023.3236061"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-78456-9_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,2]],"date-time":"2024-12-02T12:14:07Z","timestamp":1733141647000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-78456-9_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"ISBN":["9783031784552","9783031784569"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-78456-9_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,3]]},"assertion":[{"value":"3 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kolkata","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpr2024.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}