{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T08:19:05Z","timestamp":1772698745191,"version":"3.50.1"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032101914","type":"print"},{"value":"9783032101921","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-10192-1_20","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T00:46:14Z","timestamp":1767314774000},"page":"236-248","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Multi-view Weak Supervision for Occlusion-Aware Multi-human Parsing"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8096-4588","authenticated-orcid":false,"given":"Laura","family":"Bragagnolo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9862-8469","authenticated-orcid":false,"given":"Matteo","family":"Terreran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4281-0610","authenticated-orcid":false,"given":"Leonardo","family":"Barcellona","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3406-8719","authenticated-orcid":false,"given":"Stefano","family":"Ghidoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Antonello, M., Wolf, D., Prankl, J., Ghidoni, S., Menegatti, E., Vincze, M.: Multi-view 3D entangled forest for semantic segmentation and mapping. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1855\u20131862. IEEE (2018)","DOI":"10.1109\/ICRA.2018.8460837"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Berman, M., Triki, A.R., Blaschko, M.B.: The Lov\u00e1sz-Softmax loss: a tractable surrogate for the optimization of the intersection-over-union measure in neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4413\u20134421 (2018)","DOI":"10.1109\/CVPR.2018.00464"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.: Detect what you can: detecting and representing objects using holistic models and body parts. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1971\u20131978 (2014)","DOI":"10.1109\/CVPR.2014.254"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Cheng, B., Misra, I., Schwing, A.G., Kirillov, A., Girdhar, R.: Masked-attention mask transformer for universal image segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1290\u20131299 (2022)","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Chu, J., et al.: Single-stage multi-human parsing via point sets and center-based offsets. In: Proceedings of the 31st ACM International Conference on Multimedia, pp. 1863\u20131873 (2023)","DOI":"10.1145\/3581783.3611993"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Chu, J., et al.: UniParser: multi-human parsing with unified correlation representation learning. IEEE Trans. Image Process. (2024)","DOI":"10.1109\/TIP.2024.3456004"},{"key":"20_CR7","doi-asserted-by":"crossref","first-page":"1384","DOI":"10.1109\/TMM.2023.3281070","volume":"26","author":"Y Dai","year":"2023","unstructured":"Dai, Y., Chen, X., Wang, X., Pang, M., Gao, L., Shen, H.T.: ReSParser: fully convolutional multiple human parsing with representative sets. IEEE Trans. Multimed. 26, 1384\u20131394 (2023)","journal-title":"IEEE Trans. Multimed."},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Dong, H., et al.: Fashion editing with adversarial parsing learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8120\u20138128 (2020)","DOI":"10.1109\/CVPR42600.2020.00814"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Gong, K., Liang, X., Li, Y., Chen, Y., Yang, M., Lin, L.: Instance-level human parsing via part grouping network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 770\u2013785 (2018)","DOI":"10.1007\/978-3-030-01225-0_47"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"G\u00fcler, R.A., Neverova, N., Kokkinos, I.: DensePose: dense human pose estimation in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7297\u20137306 (2018)","DOI":"10.1109\/CVPR.2018.00762"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"20_CR12","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":"20_CR13","unstructured":"Joo, H., et al.: Panoptic studio: a massively multiview system for social interaction capture. IEEE Trans. Pattern Anal. Mach. Intell. (2017)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Kirillov, A., et al.: Segment anything (2023). arXiv:2304.02643","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"20_CR15","doi-asserted-by":"publisher","unstructured":"Li, B., Zhao, X.: Human carving: a parsing-based framework for 3D human reconstruction. In: 2021 IEEE International Conference on Image Processing (ICIP), pp. 3238\u20133242 (2021). https:\/\/doi.org\/10.1109\/ICIP42928.2021.9506068","DOI":"10.1109\/ICIP42928.2021.9506068"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Doll\u00e1r, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2117\u20132125 (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Robert, D., Vallet, B., Landrieu, L.: Learning multi-view aggregation in the wild for large-scale 3D semantic segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5575\u20135584 (2022)","DOI":"10.1109\/CVPR52688.2022.00549"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Ruan, T., Liu, T., Huang, Z., Wei, Y., Wei, S., Zhao, Y.: Devil in the details: towards accurate single and multiple human parsing. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a033, pp. 4814\u20134821 (2019)","DOI":"10.1609\/aaai.v33i01.33014814"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Terreran, M., Barcellona, L., Evangelista, D., Ghidoni, S.: Multi-view human parsing for human-robot collaboration. In: 2021 20th International Conference on Advanced Robotics (ICAR), pp. 905\u2013912. IEEE (2021)","DOI":"10.1109\/ICAR53236.2021.9659456"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Tian, Z., Shen, C., Chen, H., He, T.: FCOS: fully convolutional one-stage object detection. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9627\u20139636 (2019)","DOI":"10.1109\/ICCV.2019.00972"},{"key":"20_CR21","unstructured":"Yang, L., Jia, W., Li, S., Song, Q.: Deep learning technique for human parsing: a survey and outlook (2023). arXiv:2301.00394"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Yang, L., et al.: Renovating parsing R-CNN for accurate multiple human parsing. In: European Conference on Computer Vision, pp. 421\u2013437. Springer (2020)","DOI":"10.1007\/978-3-030-58610-2_25"},{"key":"20_CR23","doi-asserted-by":"crossref","unstructured":"Yang, L., Song, Q., Wang, Z., Jiang, M.: Parsing R-CNN for instance-level human analysis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 364\u2013373 (2019)","DOI":"10.1109\/CVPR.2019.00045"},{"key":"20_CR24","doi-asserted-by":"crossref","first-page":"5599","DOI":"10.1109\/TIP.2022.3192989","volume":"31","author":"S Zhang","year":"2022","unstructured":"Zhang, S., Cao, X., Qi, G.J., Song, Z., Zhou, J.: AIParsing: anchor-free instance-level human parsing. IEEE Trans. Image Process. 31, 5599\u20135612 (2022)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing \u2013 ICIAP 2025"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-10192-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T07:37:55Z","timestamp":1772696275000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-10192-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032101914","9783032101921"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-10192-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rome","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"15 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap.org\/home","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}