{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:47:19Z","timestamp":1742993239881,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":38,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819787913"},{"type":"electronic","value":"9789819787920"}],"license":[{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,9]],"date-time":"2024-11-09T00:00:00Z","timestamp":1731110400000},"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\/978-981-97-8792-0_12","type":"book-chapter","created":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T06:57:10Z","timestamp":1731049030000},"page":"161-176","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ASPVNet: Attention Based Sparse Point-Voxel Network for 3D Object Detection"],"prefix":"10.1007","author":[{"given":"Bingxin","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhong","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,9]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Chen, C., Chen, Z., Zhang, J., Tao, D.: Sasa: Semantics-augmented set abstraction for point-based 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a036, pp. 221\u2013229 (2022)","DOI":"10.1609\/aaai.v36i1.19897"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Chen, Y., Liu, J., Zhang, X., Qi, X., Jia, J.: Voxelnext: Fully sparse voxelnet for 3d object detection and tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 21674\u201321683 (2023)","DOI":"10.1109\/CVPR52729.2023.02076"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Deng, J., Shi, S., Li, P., Zhou, W., Zhang, Y., Li, H.: Voxel r-CNN: towards high performance voxel-based 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol.\u00a035, pp. 1201\u20131209 (2021)","DOI":"10.1609\/aaai.v35i2.16207"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? the kitti vision benchmark suite. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3354\u20133361. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"He, C., Zeng, H., Huang, J., Hua, X.S., Zhang, L.: Structure aware single-stage 3d object detection from point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11873\u201311882 (2020)","DOI":"10.1109\/CVPR42600.2020.01189"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Hoang, H.A., Yoo, M.: 3onet: 3d detector for occluded object under obstructed conditions. IEEE Sensors J. (2023)","DOI":"10.1109\/JSEN.2023.3293515"},{"key":"12_CR7","unstructured":"Hu, J.S., Kuai, T., Waslander, S.L.: Point density-aware voxels for lidar 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8469\u20138478 (2022)"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Lang, A.H., Vora, S., Caesar, H., Zhou, L., 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, pp. 12697\u201312705 (2019)","DOI":"10.1109\/CVPR.2019.01298"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Li, X., Ma, T., Hou, Y., Shi, B., Yang, Y., Liu, Y., Wu, X., Chen, Q., Li, Y., Qiao, Y., et\u00a0al.: Logonet: Towards accurate 3d object detection with local-to-global cross-modal fusion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 17524\u201317534 (2023)","DOI":"10.1109\/CVPR52729.2023.01681"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Li, Y., Qi, X., Chen, Y., Wang, L., Li, Z., Sun, J., Jia, J.: Voxel field fusion for 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1120\u20131129 (2022)","DOI":"10.1109\/CVPR52688.2022.00119"},{"key":"12_CR11","unstructured":"Liu, Z., Tang, H., Lin, Y., Han, S.: Point-voxel cnn for efficient 3d deep learning. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Mahmoud, A., Hu, J.S., Waslander, S.L.: Dense voxel fusion for 3d object detection. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 663\u2013672 (2023)","DOI":"10.1109\/WACV56688.2023.00073"},{"issue":"8","key":"12_CR13","doi-asserted-by":"publisher","first-page":"1909","DOI":"10.1007\/s11263-023-01790-1","volume":"131","author":"J Mao","year":"2023","unstructured":"Mao, J., Shi, S., Wang, X., Li, H.: 3d object detection for autonomous driving: a comprehensive survey. Int. J. Comput. Vis. 131(8), 1909\u20131963 (2023)","journal-title":"Int. J. Comput. Vis."},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Noh, J., Lee, S., Ham, B.: Hvpr: Hybrid voxel-point representation for single-stage 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14605\u201314614 (2021)","DOI":"10.1109\/CVPR46437.2021.01437"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Qi, C.R., Litany, O., He, K., Guibas, L.J.: Deep hough voting for 3d object detection in point clouds. In: proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9277\u20139286 (2019)","DOI":"10.1109\/ICCV.2019.00937"},{"key":"12_CR16","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":"12_CR17","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 (2017)"},{"key":"12_CR18","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. Adv. Neural Inf. Process. Syst. 28 (2015)"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Sheng, H., Cai, S., Liu, Y., Deng, B., Huang, J., Hua, X.S., Zhao, M.J.: Improving 3d object detection with channel-wise transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2743\u20132752 (2021)","DOI":"10.1109\/ICCV48922.2021.00274"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Shi, S., Guo, C., Jiang, L., Wang, Z., Shi, J., Wang, X., Li, H.: Pv-RCNN: point-voxel feature set abstraction for 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10529\u201310538 (2020)","DOI":"10.1109\/CVPR42600.2020.01054"},{"issue":"2","key":"12_CR21","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1007\/s11263-022-01710-9","volume":"131","author":"S Shi","year":"2023","unstructured":"Shi, S., Jiang, L., Deng, J., Wang, Z., Guo, C., Shi, J., Wang, X., Li, H.: Pv-RCNN++: point-voxel feature set abstraction with local vector representation for 3d object detection. Int. J. Comput. Vis. 131(2), 531\u2013551 (2023)","journal-title":"Int. J. Comput. Vis."},{"key":"12_CR22","doi-asserted-by":"crossref","unstructured":"Shi, S., Wang, X., Li, H.: Pointrcnn: 3d object proposal generation and detection from point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 770\u2013779 (2019)","DOI":"10.1109\/CVPR.2019.00086"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Song, N., Jiang, T., Yao, J.: Jpv-net: Joint point-voxel representations for accurate 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a036, pp. 2271\u20132279 (2022)","DOI":"10.1609\/aaai.v36i2.20125"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Tang, H., Liu, Z., Zhao, S., Lin, Y., Lin, J., Wang, H., Han, S.: Searching efficient 3d architectures with sparse point-voxel convolution. In: European Conference on Computer Vision, pp. 685\u2013702. Springer (2020)","DOI":"10.1007\/978-3-030-58604-1_41"},{"key":"12_CR25","unstructured":"Team, O.D.: Openpcdet: an open-source toolbox for 3d object detection from point clouds (2020). https:\/\/github.com\/open-mmlab\/OpenPCDet"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: Cbam: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"12_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2022.3228927","volume":"60","author":"H Wu","year":"2022","unstructured":"Wu, H., Deng, J., Wen, C., Li, X., Wang, C., Li, J.: Casa: a cascade attention network for 3-d object detection from lidar point clouds. IEEE Trans. Geosci. Remote Sens. 60, 1\u201311 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Xu, Q., Zhong, Y., Neumann, U.: Behind the curtain: Learning occluded shapes for 3d object detection. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a036, pp. 2893\u20132901 (2022)","DOI":"10.1609\/aaai.v36i3.20194"},{"issue":"10","key":"12_CR29","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.3390\/s18103337","volume":"18","author":"Y Yan","year":"2018","unstructured":"Yan, Y., Mao, Y., Li, B.: Second: sparsely embedded convolutional detection. Sensors 18(10), 3337 (2018)","journal-title":"Sensors"},{"key":"12_CR30","doi-asserted-by":"crossref","unstructured":"Yang, Z., Sun, Y., Liu, S., Jia, J.: 3dssd: Point-based 3d single stage object detector. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11040\u201311048 (2020)","DOI":"10.1109\/CVPR42600.2020.01105"},{"key":"12_CR31","doi-asserted-by":"crossref","unstructured":"Ye, M., Xu, S., Cao, T.: Hvnet: Hybrid voxel network for lidar based 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1631\u20131640 (2020)","DOI":"10.1109\/CVPR42600.2020.00170"},{"key":"12_CR32","doi-asserted-by":"crossref","unstructured":"Yin, Z., Sun, H., Liu, N., Zhou, H., Shen, J.: Fgfusion: Fine-grained lidar-camera fusion for 3d object detection. In: Chinese Conference on Pattern Recognition and Computer Vision (PRCV), pp. 505\u2013517. Springer (2023)","DOI":"10.1007\/978-981-99-8435-0_40"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Chen, J., Huang, D.: Cat-det: Contrastively augmented transformer for multi-modal 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 908\u2013917 (2022)","DOI":"10.1109\/CVPR52688.2022.00098"},{"key":"12_CR34","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Hu, Q., Xu, G., Ma, Y., Wan, J., Guo, Y.: Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18953\u201318962 (2022)","DOI":"10.1109\/CVPR52688.2022.01838"},{"issue":"12","key":"12_CR35","doi-asserted-by":"publisher","first-page":"3332","DOI":"10.1007\/s11263-023-01869-9","volume":"131","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Zhang, Q., Zhu, Z., Hou, J., Yuan, Y.: Glenet: boosting 3d object detectors with generative label uncertainty estimation. Int. J. Comput. Vis. 131(12), 3332\u20133352 (2023)","journal-title":"Int. J. Comput. Vis."},{"key":"12_CR36","doi-asserted-by":"crossref","unstructured":"Zheng, W., Tang, W., Jiang, L., Fu, C.W.: Se-ssd: Self-ensembling single-stage object detector from point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14494\u201314503 (2021)","DOI":"10.1109\/CVPR46437.2021.01426"},{"key":"12_CR37","doi-asserted-by":"crossref","unstructured":"Zhou, C., Zhang, Y., Chen, J., Huang, D.: Octr: Octree-based transformer for 3d object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5166\u20135175 (2023)","DOI":"10.1109\/CVPR52729.2023.00500"},{"key":"12_CR38","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Tuzel, O.: Voxelnet: End-to-end learning for point cloud based 3d object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4490\u20134499 (2018)","DOI":"10.1109\/CVPR.2018.00472"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8792-0_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,8]],"date-time":"2024-11-08T07:06:31Z","timestamp":1731049591000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8792-0_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,9]]},"ISBN":["9789819787913","9789819787920"],"references-count":38,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8792-0_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,9]]},"assertion":[{"value":"9 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}