{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T02:51:35Z","timestamp":1779331895276,"version":"3.51.4"},"publisher-location":"Cham","reference-count":54,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031736674","type":"print"},{"value":"9783031736681","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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\/978-3-031-73668-1_4","type":"book-chapter","created":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T02:03:04Z","timestamp":1733018584000},"page":"55-72","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["WRIM-Net: Wide-Ranging Information Mining Network for\u00a0Visible-Infrared Person Re-identification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9836-1749","authenticated-orcid":false,"given":"Yonggan","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1664-9946","authenticated-orcid":false,"given":"Ling-Chao","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-0952-8433","authenticated-orcid":false,"given":"Yuan","family":"Zichao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8916-1174","authenticated-orcid":false,"given":"Sixian","family":"Chan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1734-7855","authenticated-orcid":false,"given":"Hong-Qiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,1]]},"reference":[{"key":"4_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107036","volume":"98","author":"X Bai","year":"2020","unstructured":"Bai, X., Yang, M., Huang, T., Dou, Z., Yu, R., Xu, Y.: Deep-person: learning discriminative deep features for person re-identification. Pattern Recogn. 98, 107036 (2020)","journal-title":"Pattern Recogn."},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Chen, T., et al.: ABD-net: attentive but diverse person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8351\u20138361 (2019)","DOI":"10.1109\/ICCV.2019.00844"},{"key":"4_CR3","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597\u20131607. PMLR (2020)"},{"key":"4_CR4","unstructured":"Chen, X., Fan, H., Girshick, R., He, K.: Improved baselines with momentum contrastive learning. arXiv preprint arXiv:2003.04297 (2020)"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Chen, Y., Wan, L., Li, Z., Jing, Q., Sun, Z.: Neural feature search for RGB-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 587\u2013597 (2021)","DOI":"10.1109\/CVPR46437.2021.00065"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Choi, S., Lee, S., Kim, Y., Kim, T., Kim, C.: Hi-CMD: hierarchical cross-modality disentanglement for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10257\u201310266 (2020)","DOI":"10.1109\/CVPR42600.2020.01027"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Dai, P., Ji, R., Wang, H., Wu, Q., Huang, Y.: Cross-modality person re-identification with generative adversarial training. In: IJCAI, vol.\u00a01, p.\u00a06 (2018)","DOI":"10.24963\/ijcai.2018\/94"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Feng, J., Wu, A., Zheng, W.S.: Shape-erased feature learning for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22752\u201322761 (2023)","DOI":"10.1109\/CVPR52729.2023.02179"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Hao, X., Zhao, S., Ye, M., Shen, J.: Cross-modality person re-identification via modality confusion and center aggregation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 16403\u201316412 (2021)","DOI":"10.1109\/ICCV48922.2021.01609"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.: Momentum contrast for unsupervised visual representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9729\u20139738 (2020)","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"4_CR11","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":"4_CR12","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"4_CR13","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1007\/978-3-031-19781-9_28","volume-title":"Computer Vision-ECCV 2022","author":"K Jiang","year":"2022","unstructured":"Jiang, K., Zhang, T., Liu, X., Qian, B., Zhang, Y., Wu, F.: Cross-modality transformer for visible-infrared person re-identification. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13674, pp. 480\u2013496. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19781-9_28"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Kim, M., Kim, S., Park, J., Park, S., Sohn, K.: Partmix: regularization strategy to learn part discovery for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18621\u201318632 (2023)","DOI":"10.1109\/CVPR52729.2023.01786"},{"key":"4_CR15","first-page":"9694","volume":"34","author":"J Li","year":"2021","unstructured":"Li, J., Selvaraju, R., Gotmare, A., Joty, S., Xiong, C., Hoi, S.C.H.: Align before fuse: vision and language representation learning with momentum distillation. Adv. Neural. Inf. Process. Syst. 34, 9694\u20139705 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"4_CR16","doi-asserted-by":"publisher","first-page":"4414","DOI":"10.1109\/TMM.2020.3042080","volume":"23","author":"H Liu","year":"2020","unstructured":"Liu, H., Tan, X., Zhou, X.: Parameter sharing exploration and hetero-center triplet loss for visible-thermal person re-identification. IEEE Trans. Multimedia 23, 4414\u20134425 (2020)","journal-title":"IEEE Trans. Multimedia"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Liu, J., Sun, Y., Zhu, F., Pei, H., Yang, Y., Li, W.: Learning memory-augmented unidirectional metrics for cross-modality person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19366\u201319375 (2022)","DOI":"10.1109\/CVPR52688.2022.01876"},{"issue":"10","key":"4_CR18","doi-asserted-by":"publisher","first-page":"2597","DOI":"10.1109\/TMM.2019.2958756","volume":"22","author":"H Luo","year":"2019","unstructured":"Luo, H., et al.: A strong baseline and batch normalization neck for deep person re-identification. IEEE Trans. Multimedia 22(10), 2597\u20132609 (2019)","journal-title":"IEEE Trans. Multimedia"},{"key":"4_CR19","unstructured":"Van\u00a0der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Learn. Res. 9(11) (2008)"},{"issue":"3","key":"4_CR20","doi-asserted-by":"publisher","first-page":"605","DOI":"10.3390\/s17030605","volume":"17","author":"DT Nguyen","year":"2017","unstructured":"Nguyen, D.T., Hong, H.G., Kim, K.W., Park, K.R.: Person recognition system based on a combination of body images from visible light and thermal cameras. Sensors 17(3), 605 (2017)","journal-title":"Sensors"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Park, H., Lee, S., Lee, J., Ham, B.: Learning by aligning: visible-infrared person re-identification using cross-modal correspondences. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12046\u201312055 (2021)","DOI":"10.1109\/ICCV48922.2021.01183"},{"key":"4_CR22","unstructured":"Radford, A., et\u00a0al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763. PMLR (2021)"},{"key":"4_CR23","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-cam: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 618\u2013626 (2017)","DOI":"10.1109\/ICCV.2017.74"},{"key":"4_CR25","doi-asserted-by":"crossref","unstructured":"Sun, Y., Zheng, L., Yang, Y., Tian, Q., Wang, S.: Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline). In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 480\u2013496 (2018)","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"4_CR26","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Wang, F., Liu, H.: Understanding the behaviour of contrastive loss. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2495\u20132504 (2021)","DOI":"10.1109\/CVPR46437.2021.00252"},{"key":"4_CR28","doi-asserted-by":"crossref","unstructured":"Wang, G.A., et al.: Cross-modality paired-images generation for RGB-infrared person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a034, pp. 12144\u201312151 (2020)","DOI":"10.1609\/aaai.v34i07.6894"},{"key":"4_CR29","doi-asserted-by":"crossref","unstructured":"Wang, G., Zhang, T., Cheng, J., Liu, S., Yang, Y., Hou, Z.: RGB-infrared cross-modality person re-identification via joint pixel and feature alignment. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3623\u20133632 (2019)","DOI":"10.1109\/ICCV.2019.00372"},{"key":"4_CR30","doi-asserted-by":"crossref","unstructured":"Wang, G., Yuan, Y., Chen, X., Li, J., Zhou, X.: Learning discriminative features with multiple granularities for person re-identification. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 274\u2013282 (2018)","DOI":"10.1145\/3240508.3240552"},{"key":"4_CR31","unstructured":"Wang, T., Isola, P.: Understanding contrastive representation learning through alignment and uniformity on the hypersphere. In: International Conference on Machine Learning, pp. 9929\u20139939. PMLR (2020)"},{"key":"4_CR32","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., He, K.: Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7794\u20137803 (2018)","DOI":"10.1109\/CVPR.2018.00813"},{"key":"4_CR33","doi-asserted-by":"crossref","unstructured":"Wang, Z., Wang, Z., Zheng, Y., Chuang, Y.Y., Satoh, S.: Learning to reduce dual-level discrepancy for infrared-visible person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 618\u2013626 (2019)","DOI":"10.1109\/CVPR.2019.00071"},{"key":"4_CR34","doi-asserted-by":"crossref","unstructured":"Wei, Z., Yang, X., Wang, N., Gao, X.: Syncretic modality collaborative learning for visible infrared person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 225\u2013234 (2021)","DOI":"10.1109\/ICCV48922.2021.00029"},{"key":"4_CR35","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":"4_CR36","doi-asserted-by":"crossref","unstructured":"Wu, A., Zheng, W.S., Yu, H.X., Gong, S., Lai, J.: RGB-infrared cross-modality person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 5380\u20135389 (2017)","DOI":"10.1109\/ICCV.2017.575"},{"key":"4_CR37","doi-asserted-by":"crossref","unstructured":"Wu, J., Liu, H., Su, Y., Shi, W., Tang, H.: Learning concordant attention via target-aware alignment for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11122\u201311131 (2023)","DOI":"10.1109\/ICCV51070.2023.01021"},{"key":"4_CR38","doi-asserted-by":"crossref","unstructured":"Wu, Q., et al.: Discover cross-modality nuances for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4330\u20134339 (2021)","DOI":"10.1109\/CVPR46437.2021.00431"},{"key":"4_CR39","doi-asserted-by":"crossref","unstructured":"Wu, Z., Xiong, Y., Yu, S.X., Lin, D.: Unsupervised feature learning via non-parametric instance discrimination. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3733\u20133742 (2018)","DOI":"10.1109\/CVPR.2018.00393"},{"key":"4_CR40","unstructured":"Xia, B.N., Gong, Y., Zhang, Y., Poellabauer, C.: Second-order non-local attention networks for person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3760\u20133769 (2019)"},{"key":"4_CR41","doi-asserted-by":"crossref","unstructured":"Yang, B., Ye, M., Chen, J., Wu, Z.: Augmented dual-contrastive aggregation learning for unsupervised visible-infrared person re-identification. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 2843\u20132851 (2022)","DOI":"10.1145\/3503161.3548198"},{"key":"4_CR42","doi-asserted-by":"crossref","unstructured":"Yang, M., Huang, Z., Hu, P., Li, T., Lv, J., Peng, X.: Learning with twin noisy labels for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14308\u201314317 (2022)","DOI":"10.1109\/CVPR52688.2022.01391"},{"key":"4_CR43","doi-asserted-by":"publisher","first-page":"9387","DOI":"10.1109\/TIP.2020.2998275","volume":"29","author":"M Ye","year":"2020","unstructured":"Ye, M., Lan, X., Leng, Q., Shen, J.: Cross-modality person re-identification via modality-aware collaborative ensemble learning. IEEE Trans. Image Process. 29, 9387\u20139399 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"4_CR44","doi-asserted-by":"crossref","unstructured":"Ye, M., Lan, X., Li, J., Yuen, P.: Hierarchical discriminative learning for visible thermal person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a032 (2018)","DOI":"10.1609\/aaai.v32i1.12293"},{"key":"4_CR45","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1109\/TIFS.2019.2921454","volume":"15","author":"M Ye","year":"2019","unstructured":"Ye, M., Lan, X., Wang, Z., Yuen, P.C.: Bi-directional center-constrained top-ranking for visible thermal person re-identification. IEEE Trans. Inf. Forensics Secur. 15, 407\u2013419 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"4_CR46","doi-asserted-by":"crossref","unstructured":"Ye, M., Ruan, W., Du, B., Shou, M.Z.: Channel augmented joint learning for visible-infrared recognition. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13567\u201313576 (2021)","DOI":"10.1109\/ICCV48922.2021.01331"},{"key":"4_CR47","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-030-58520-4_14","volume-title":"Computer Vision \u2013 ECCV 2020","author":"M Ye","year":"2020","unstructured":"Ye, M., Shen, J., J. Crandall, D., Shao, L., Luo, J.: Dynamic dual-attentive aggregation learning for visible-infrared person re-identification. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12362, pp. 229\u2013247. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58520-4_14"},{"issue":"6","key":"4_CR48","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","volume":"44","author":"M Ye","year":"2021","unstructured":"Ye, M., Shen, J., Lin, G., Xiang, T., Shao, L., Hoi, S.C.: Deep learning for person re-identification: a survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 2872\u20132893 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4_CR49","doi-asserted-by":"crossref","unstructured":"Ye, M., Zhang, X., Yuen, P.C., Chang, S.F.: Unsupervised embedding learning via invariant and spreading instance feature. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6210\u20136219 (2019)","DOI":"10.1109\/CVPR.2019.00637"},{"key":"4_CR50","doi-asserted-by":"crossref","unstructured":"Yu, H., Cheng, X., Peng, W., Liu, W., Zhao, G.: Modality unifying network for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11185\u201311195 (2023)","DOI":"10.1109\/ICCV51070.2023.01027"},{"key":"4_CR51","unstructured":"Yu, J., Wang, Z., Vasudevan, V., Yeung, L., Seyedhosseini, M., Wu, Y.: Coca: contrastive captioners are image-text foundation models. arXiv preprint arXiv:2205.01917 (2022)"},{"key":"4_CR52","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1007\/978-3-031-19781-9_27","volume-title":"Computer Vision-ECCV 2022","author":"Y Zhang","year":"2022","unstructured":"Zhang, Y., Zhao, S., Kang, Y., Shen, J.: Modality synergy complement learning with cascaded aggregation for visible-infrared person re-identification. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13674, pp. 462\u2013479. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19781-9_27"},{"key":"4_CR53","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Wang, H.: Diverse embedding expansion network and low-light cross-modality benchmark for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2153\u20132162 (2023)","DOI":"10.1109\/CVPR52729.2023.00214"},{"key":"4_CR54","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yan, Y., Lu, Y., Wang, H.: Towards a unified middle modality learning for visible-infrared person re-identification. In: Proceedings of the 29th ACM International Conference on Multimedia, pp. 788\u2013796 (2021)","DOI":"10.1145\/3474085.3475250"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73668-1_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T02:05:14Z","timestamp":1733018714000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73668-1_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,1]]},"ISBN":["9783031736674","9783031736681"],"references-count":54,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73668-1_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,1]]},"assertion":[{"value":"1 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}