{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:42:41Z","timestamp":1742960561391,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":33,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819620531"},{"type":"electronic","value":"9789819620548"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-981-96-2054-8_12","type":"book-chapter","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T15:48:11Z","timestamp":1735832891000},"page":"153-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Boosting Human Pose Estimation via\u00a0Heatmap Refinement"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9127-9219","authenticated-orcid":false,"given":"Ling","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2834-2371","authenticated-orcid":false,"given":"Zhuocheng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1716-4381","authenticated-orcid":false,"given":"Kaige","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6572-8471","authenticated-orcid":false,"given":"Wei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,1,3]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Bras\u00f3, G., Kister, N., Leal-Taix\u00e9, L.: The center of attention: center-keypoint grouping via attention for multi-person pose estimation. In: International Conference on Computer Vision, pp. 11853\u201311863 (2021)","DOI":"10.1109\/ICCV48922.2021.01164"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7291\u20137299 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Y., Wang, Z., Peng, Y., Zhang, Z., Yu, G., Sun, J.: Cascaded pyramid network for multi-person pose estimation. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 7103\u20137112 (2018)","DOI":"10.1109\/CVPR.2018.00742"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Cheng, B., Xiao, B., et\u00a0al.: Higherhrnet: scale-aware representation learning for bottom-up human pose estimation. In: Conference on Computer Vision and Pattern Recognition, pp. 5386\u20135395 (2020)","DOI":"10.1109\/CVPR42600.2020.00543"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Fang, H.S., et\u00a0al.: Rmpe: regional multi-person pose estimation. In: IEEE International Conference on Computer Vision, pp. 2334\u20132343 (2017)","DOI":"10.1109\/ICCV.2017.256"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Gao, S., Wang, J., Lu, H., Liu, Z.: Pose-guided visible part matching for occluded person reid. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11744\u201311752 (2020)","DOI":"10.1109\/CVPR42600.2020.01176"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Geng, Z., Sun, K., Xiao, B., Zhang, Z., Wang, J.: Bottom-up human pose estimation via disentangled keypoint regression. In: IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14676\u201314686 (2021)","DOI":"10.1109\/CVPR46437.2021.01444"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: MASK R-CNN. In: IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity mappings in deep residual networks. In: European Conference on Computer Vision, pp. 630\u2013645 (2016)","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Huang, S., Mingming, Tao, D.: A coarse-fine network for keypoint localization. In: International Conference on Computer Vision, pp. 3028\u20133037 (2017)","DOI":"10.1109\/ICCV.2017.329"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Jiang, W., Jin, S., Liu, W., Qian, C., Luo, P., Liu, S.: Posetrans: a simple yet effective pose transformation augmentation for human pose estimation. In: European Conference on Computer Vision, pp. 643\u2013659 (2022)","DOI":"10.1007\/978-3-031-20065-6_37"},{"key":"12_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1007\/978-3-030-58571-6_42","volume-title":"Computer Vision \u2013 ECCV 2020","author":"S Jin","year":"2020","unstructured":"Jin, S., et al.: Differentiable hierarchical graph grouping for multi-person pose estimation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12352, pp. 718\u2013734. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58571-6_42"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Kim, K., et\u00a0al.: Top-down pose estimation method based human-computer interaction for smart space system with digital twin. In: Conference on Intelligent Metaverse Technologies & Applications, pp.\u00a01\u20135 (2023)","DOI":"10.1109\/iMETA59369.2023.10294844"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Kreiss, S., Bertoni, L., Alahi, A.: Pifpaf: composite fields for human pose estimation. In: CVPR 2019, pp. 11977\u201311986 (2019)","DOI":"10.1109\/CVPR.2019.01225"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Li, J., et\u00a0al.: Simple pose: rethinking and improving a bottom-up approach for multi-person pose estimation. In: AAAI 2020, pp. 11354\u201311361 (2020)","DOI":"10.1609\/aaai.v34i07.6797"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, C., et\u00a0al.: Crowdpose: efficient crowded scenes pose estimation and a new benchmark. In: CVPR 2019, pp. 10863\u201310872 (2019)","DOI":"10.1109\/CVPR.2019.01112"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Li, K., Wang, S., Zhang, X., Xu, Y., Xu, W., Tu, Z.: Pose recognition with cascade transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1944\u20131953 (2021)","DOI":"10.1109\/CVPR46437.2021.00198"},{"key":"12_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/978-3-319-10602-1_48","volume-title":"Computer Vision \u2013 ECCV 2014","author":"T-Y Lin","year":"2014","unstructured":"Lin, T.-Y., et al.: Microsoft COCO: common objects in context. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8693, pp. 740\u2013755. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10602-1_48"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Liu, H., Chen, Q., Tan, Z., et\u00a0al.: Group pose: a simple baseline for end-to-end multi-person pose estimation. In: International Conference on Computer Vision, pp. 15029\u201315038 (2023)","DOI":"10.1109\/ICCV51070.2023.01380"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Luo, Z., Wang, Z., Huang, Y., Wang, L., Tan, T., Zhou, E.: Rethinking the heatmap regression for bottom-up human pose estimation. In: Conference on Computer Vision and Pattern Recognition, pp. 13264\u201313273 (2021)","DOI":"10.1109\/CVPR46437.2021.01306"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Mao, W., Ge, Y., Shen, C., Tian, Z., et\u00a0al.: Tfpose: direct human pose estimation with transformers. preprint arXiv:2103.15320 (2021)","DOI":"10.1007\/978-3-031-20068-7_5"},{"key":"12_CR22","unstructured":"Newell, A., Huang, Z., Deng, J.: Associative embedding: End-to-end learning for joint detection and grouping. In: Advances in Neural Information Processing Systems (2017)"},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision, pp. 483\u2013499 (2016)","DOI":"10.1007\/978-3-319-46484-8_29"},{"key":"12_CR24","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Zhu, T., Chen, L.C., Gidaris, S., Tompson, J., Murphy, K.: Personlab: person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model. In: European Conference on Computer Vision (ECCV), pp. 269\u2013286 (2018)","DOI":"10.1007\/978-3-030-01264-9_17"},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Zhu, T., et\u00a0al.: Towards accurate multi-person pose estimation in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 4903\u20134911 (2017)","DOI":"10.1109\/CVPR.2017.395"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Shi, D., Wei, X., Li, L., Ren, Y., Tan, W.: End-to-end multi-person pose estimation with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11069\u201311078 (2022)","DOI":"10.1109\/CVPR52688.2022.01079"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Sun, K., Xiao, B., Liu, D., Wang, J.: Deep high-resolution representation learning for human pose estimation. In: CVPR 2019, pp. 5693\u20135703 (2019)","DOI":"10.1109\/CVPR.2019.00584"},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Sun, X., Xiao, B., Wei, F., Liang, S., Wei, Y.: Integral human pose regression. In: European Conference on Computer Vision, pp. 529\u2013545 (2018)","DOI":"10.1007\/978-3-030-01231-1_33"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"Wan, J., Chan, A.: Adaptive density map generation for crowd counting. In: International Conference on Computer Vision, pp. 1130\u20131139 (2019)","DOI":"10.1109\/ICCV.2019.00122"},{"key":"12_CR30","unstructured":"Wang, D., Zhang, S., Hua, G.: Robust pose estimation in crowded scenes with direct pose-level inference. In: Advances in Neural Information Processing Systems (2021)"},{"key":"12_CR31","doi-asserted-by":"crossref","unstructured":"Wei, F., et\u00a0al.: Point-set anchors for object detection, instance segmentation and pose estimation. In: ECCV 2020, pp. 527\u2013544 (2020)","DOI":"10.1007\/978-3-030-58607-2_31"},{"key":"12_CR32","doi-asserted-by":"crossref","unstructured":"Xiao, B., Wu, H., Wei, Y.: Simple baselines for human pose estimation and tracking. In: European Conference on Computer Vision, pp. 466\u2013481 (2018)","DOI":"10.1007\/978-3-030-01231-1_29"},{"key":"12_CR33","unstructured":"Yang, J., Zeng, A., Liu, S., Li, F., Zhang, R., Zhang, L.: Explicit box detection unifies end-to-end multi-person pose estimation. In: International Conference on Learning Representations, pp. 1\u201317 (2023)"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-2054-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,23]],"date-time":"2025-03-23T01:41:41Z","timestamp":1742694101000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-2054-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819620531","9789819620548"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-2054-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"3 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nara","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 January 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 January 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mmm2025.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}