{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T05:17:49Z","timestamp":1783315069835,"version":"3.54.6"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:00:00Z","timestamp":1773100800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:00:00Z","timestamp":1773100800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Intelligent Policing Key Laboratory of Sichuan Province Intelligent Policing Key Laboratory of Sichuan Province","award":["ZNJW2025KFZD001"],"award-info":[{"award-number":["ZNJW2025KFZD001"]}]},{"name":"Sichuan Science and Technology Program","award":["2024NSFSC2046"],"award-info":[{"award-number":["2024NSFSC2046"]}]},{"name":"Luzhou Science and Technology Program","award":["2025JYJ049"],"award-info":[{"award-number":["2025JYJ049"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s00530-026-02281-2","type":"journal-article","created":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T13:20:34Z","timestamp":1773148834000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhanced visible-infrared pedestrian re-identification through feature decoupling with semi-orthogonal matrix"],"prefix":"10.1007","volume":"32","author":[{"given":"Shuohan","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengfang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziliang","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xusong","family":"Ran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,3,10]]},"reference":[{"issue":"6","key":"2281_CR1","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."},{"issue":"2","key":"2281_CR2","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1007\/s40747-023-01229-7","volume":"10","author":"Z Sun","year":"2024","unstructured":"Sun, Z., Wang, X., Zhang, Y., Song, Y., Zhao, J., Xu, J., Yan, W., Lv, C.: A comprehensive review of pedestrian re-identification based on deep learning. Complex Intell. Syst. 10(2), 1733\u20131768 (2024)","journal-title":"Complex Intell. Syst."},{"issue":"12","key":"2281_CR3","first-page":"2742","volume":"47","author":"Y Zu","year":"2021","unstructured":"Zu, Y., Xun, G., Rui, C., Qi, L., Bin, L.: Research progress, challenge and prospect of local features for person re-identification. Acta Autom. Sin. 47(12), 2742\u20132760 (2021)","journal-title":"Acta Autom. Sin."},{"key":"2281_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109669","volume":"142","author":"A Zahra","year":"2023","unstructured":"Zahra, A., Perwaiz, N., Shahzad, M., Fraz, M.M.: Person re-identification: a retrospective on domain specific open challenges and future trends. Pattern Recogn. 142, 109669 (2023)","journal-title":"Pattern Recogn."},{"key":"2281_CR5","unstructured":"Alqahtani, H., Kavakli-Thorne, M., Liu, C.Z.: An introduction to person re-identification with generative adversarial networks. arXiv preprint arXiv:1904.05992 (2019)"},{"key":"2281_CR6","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.inffus.2022.10.024","volume":"91","author":"N Huang","year":"2023","unstructured":"Huang, N., Liu, J., Miao, Y., Zhang, Q., Han, J.: Deep learning for visible-infrared cross-modality person re-identification: a comprehensive review. Inform. Fusion 91, 396\u2013411 (2023)","journal-title":"Inform. Fusion"},{"issue":"3","key":"2281_CR7","doi-asserted-by":"publisher","first-page":"454","DOI":"10.3390\/electronics11030454","volume":"11","author":"H Zheng","year":"2022","unstructured":"Zheng, H., Zhong, X., Huang, W., Jiang, K., Liu, W., Wang, Z.: Visible-infrared person re-identification: a comprehensive survey and a new setting. Electronics 11(3), 454 (2022)","journal-title":"Electronics"},{"issue":"3","key":"2281_CR8","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.3390\/s23031504","volume":"23","author":"MK Uddin","year":"2023","unstructured":"Uddin, M.K., Bhuiyan, A., Bappee, F.K., Islam, M.M., Hasan, M.: Person re-identification with rgb-d and rgb-ir sensors: a comprehensive survey. Sensors 23(3), 1504 (2023)","journal-title":"Sensors"},{"key":"2281_CR9","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":"2281_CR10","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"},{"issue":"6","key":"2281_CR11","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1016\/j.vrih.2023.06.003","volume":"5","author":"M Wang","year":"2023","unstructured":"Wang, M., Meng, M., Liu, J., Wu, J.: Adequate alignment and interaction for cross-modal retrieval. Virtual Reality Intell. Hardw. 5(6), 509\u2013522 (2023)","journal-title":"Virtual Reality Intell. Hardw."},{"issue":"10","key":"2281_CR12","doi-asserted-by":"publisher","first-page":"3422","DOI":"10.1109\/TCSVT.2019.2963721","volume":"30","author":"K Kansal","year":"2020","unstructured":"Kansal, K., Subramanyam, A.V., Wang, Z., Satoh, S.: Sdl: spectrum-disentangled representation learning for visible-infrared person re-identification. IEEE Trans. Circuits Syst. Video Technol. 30(10), 3422\u20133432 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2281_CR13","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":"2281_CR14","doi-asserted-by":"crossref","unstructured":"Hafner, F., Bhuiyan, A., Kooij, J.F., Granger, E.: Cross-modal distillation for rgb-depth person re-identification. arXiv preprint arXiv:1810.11641 (2018)","DOI":"10.1109\/AVSS.2019.8909838"},{"key":"2281_CR15","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Liu, B., Chu, Q., Lu, Y., Yu, N.: Joint color-irrelevant consistency learning and identity-aware modality adaptation for visible-infrared cross modality person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, pp. 3520\u20133528 (2021)","DOI":"10.1609\/aaai.v35i4.16466"},{"key":"2281_CR16","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":"2281_CR17","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":"2281_CR18","doi-asserted-by":"crossref","unstructured":"Fu, C., Hu, Y., Wu, X., Shi, H., Mei, T., He, R.: Cm-nas: Cross-modality neural architecture search for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11823\u201311832 (2021)","DOI":"10.1109\/ICCV48922.2021.01161"},{"key":"2281_CR19","doi-asserted-by":"crossref","unstructured":"Pu, N., Chen, W., Liu, Y., Bakker, E.M., Lew, M.S.: Dual gaussian-based variational subspace disentanglement for visible-infrared person re-identification. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 2149\u20132158 (2020)","DOI":"10.1145\/3394171.3413673"},{"key":"2281_CR20","doi-asserted-by":"crossref","unstructured":"Hao, Y., Wang, N., Gao, X., Li, J., Wang, X.: Dual-alignment feature embedding for cross-modality person re-identification. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 57\u201365 (2019)","DOI":"10.1145\/3343031.3351006"},{"key":"2281_CR21","doi-asserted-by":"crossref","unstructured":"Hu, M., Zhou, Q., Wang, R.: Bridging visible and infrared modalities: a dual-level joint align network for person re-identification. Vis. Comput., 41(10) ,1\u201316 (2025)","DOI":"10.1007\/s00371-024-03792-7"},{"key":"2281_CR22","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":"2281_CR23","doi-asserted-by":"crossref","unstructured":"Zheng, A., Pan, P., Li, H., Li, C., Luo, B., Tan, C., Jia, R.: Progressive attribute embedding for accurate cross-modality person re-id. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 4309\u20134317 (2022)","DOI":"10.1145\/3503161.3548336"},{"key":"2281_CR24","doi-asserted-by":"crossref","unstructured":"Kalayeh, M.M., Basaran, E., G\u00f6kmen, M., Kamasak, M.E., Shah, M.: Human semantic parsing for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1062\u20131071 (2018)","DOI":"10.1109\/CVPR.2018.00117"},{"key":"2281_CR25","doi-asserted-by":"crossref","unstructured":"Hong, P., Wu, T., Wu, A., Han, X., Zheng, W.-S.: Fine-grained shape-appearance mutual learning for cloth-changing person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10513\u201310522 (2021)","DOI":"10.1109\/CVPR46437.2021.01037"},{"key":"2281_CR26","doi-asserted-by":"crossref","unstructured":"Song, C., Huang, Y., Ouyang, W., Wang, L.: Mask-guided contrastive attention model for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1179\u20131188 (2018)","DOI":"10.1109\/CVPR.2018.00129"},{"issue":"14","key":"2281_CR27","doi-asserted-by":"publisher","first-page":"2897","DOI":"10.1049\/iet-ipr.2019.0699","volume":"13","author":"Y-B Zhao","year":"2019","unstructured":"Zhao, Y.-B., Lin, J.-W., Xuan, Q., Xi, X.: Hpiln: a feature learning framework for cross-modality person re-identification. IET Image Proc. 13(14), 2897\u20132904 (2019)","journal-title":"IET Image Proc."},{"issue":"3","key":"2281_CR28","doi-asserted-by":"publisher","first-page":"770","DOI":"10.1049\/cit2.12182","volume":"8","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Zhang, H., Miao, D., Pedrycz, W.: Multi-granularity re-ranking for visible-infrared person re-identification. CAAI Trans. Intell. Technol. 8(3), 770\u2013779 (2023)","journal-title":"CAAI Trans. Intell. Technol."},{"key":"2281_CR29","doi-asserted-by":"crossref","unstructured":"Ling, Y., Zhong, Z., Luo, Z., Rota, P., Li, S., Sebe, N.: Class-aware modality mix and center-guided metric learning for visible-thermal person re-identification. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 889\u2013897 (2020)","DOI":"10.1145\/3394171.3413821"},{"key":"2281_CR30","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"},{"key":"2281_CR31","doi-asserted-by":"crossref","unstructured":"Xiong, J., Lai, J.: Similarity metric learning for rgb-infrared group re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13662\u201313671 (2023)","DOI":"10.1109\/CVPR52729.2023.01313"},{"key":"2281_CR32","doi-asserted-by":"publisher","first-page":"3073","DOI":"10.1109\/TMM.2020.3019710","volume":"23","author":"F Chen","year":"2020","unstructured":"Chen, F., Shao, J., Zhang, Y., Xu, X., Shen, H.T.: Interclass-relativity-adaptive metric learning for cross-modal matching and beyond. IEEE Trans. Multimedia 23, 3073\u20133084 (2020)","journal-title":"IEEE Trans. Multimedia"},{"issue":"1s","key":"2281_CR33","first-page":"1","volume":"18","author":"L Zhang","year":"2022","unstructured":"Zhang, L., Guo, H., Zhu, K., Qiao, H., Huang, G., Zhang, S., Zhang, H., Sun, J., Wang, J.: Hybrid modality metric learning for visible-infrared person re-identification. ACM Trans. Multimed. Comput. Commun. Appl. (TOMM) 18(1s), 1\u201315 (2022)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl. (TOMM)"},{"key":"2281_CR34","doi-asserted-by":"crossref","unstructured":"Li, Y.-J., Chen, Y.-C., Lin, Y.-Y., Du, X., Wang, Y.-C.F.: Recover and identify: A generative dual model for cross-resolution person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8090\u20138099 (2019)","DOI":"10.1109\/ICCV.2019.00818"},{"key":"2281_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Jiang, S., Huang, C., Li, Y., Da, X., R.Y.: Rgb-ir cross-modality person reid based on teacher-student gan model. Pattern Recogn. Lett. 150, 155\u2013161 (2021)","DOI":"10.1016\/j.patrec.2021.07.006"},{"key":"2281_CR36","doi-asserted-by":"crossref","unstructured":"Zhong, X., Lu, T., Huang, W., Yuan, J., Liu, W., Lin, C.-W.: Visible-infrared person re-identification via colorization-based Siamese generative adversarial network. In: Proceedings of the 2020 International Conference on Multimedia Retrieval, pp. 421\u2013427 (2020)","DOI":"10.1145\/3372278.3390696"},{"key":"2281_CR37","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. 1, p. 6 (2018)","DOI":"10.24963\/ijcai.2018\/94"},{"issue":"1","key":"2281_CR38","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/TCSVT.2023.3287300","volume":"34","author":"J Qi","year":"2023","unstructured":"Qi, J., Liang, T., Liu, W., Li, Y., Jin, Y.: A generative-based image fusion strategy for visible-infrared person re-identification. IEEE Trans. Circuits Syst. Video Technol. 34(1), 518\u2013533 (2023)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"6","key":"2281_CR39","doi-asserted-by":"publisher","first-page":"3260","DOI":"10.1109\/TPAMI.2020.3048039","volume":"44","author":"P Li","year":"2022","unstructured":"Li, P., Xu, Y., Wei, Y., Yang, Y.: Self-correction for human parsing. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 3260\u20133271 (2022). https:\/\/doi.org\/10.1109\/TPAMI.2020.3048039","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"8","key":"2281_CR40","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1109\/TCSVT.2016.2515309","volume":"27","author":"Y-C Chen","year":"2016","unstructured":"Chen, Y.-C., Zheng, W.-S., Lai, J.-H., Yuen, P.C.: An asymmetric distance model for cross-view feature mapping in person reidentification. IEEE Trans. Circuits Syst. Video Technol. 27(8), 1661\u20131675 (2016)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2281_CR41","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":"2281_CR42","doi-asserted-by":"crossref","unstructured":"Li, D., Wei, X., Hong, X., Gong, Y.: Infrared-visible cross-modal person re-identification with an x modality. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 4610\u20134617 (2020)","DOI":"10.1609\/aaai.v34i04.5891"},{"key":"2281_CR43","doi-asserted-by":"crossref","unstructured":"Ye, M., Shen, J., J. Crandall, D., Shao, L., Luo, J.: Dynamic dual-attentive aggregation learning for visible-infrared person re-identification. In: Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XVII 16, pp. 229\u2013247 (2020). Springer","DOI":"10.1007\/978-3-030-58520-4_14"},{"key":"2281_CR44","doi-asserted-by":"publisher","first-page":"728","DOI":"10.1109\/TIFS.2020.3001665","volume":"16","author":"M Ye","year":"2020","unstructured":"Ye, M., Shen, J., Shao, L.: Visible-infrared person re-identification via homogeneous augmented tri-modal learning. IEEE Trans. Inf. Forensics Secur. 16, 728\u2013739 (2020)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"2281_CR45","doi-asserted-by":"crossref","unstructured":"Sun, R., Huang, G., Xie, R., Wang, X., Chen, L.: Diffusion augmentation and pose generation based pre-training method for robust visible-infrared person re-identification. IEEE Signal Process. Lett. 31(000) ,2670-2674(2024)","DOI":"10.1109\/LSP.2024.3466792"},{"key":"2281_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2024.108117","volume":"177","author":"J Lu","year":"2024","unstructured":"Lu, J., Zhang, S., Chen, M., Chen, X., Zhang, K.: Cross-modality person re-identification based on intermediate modal generation. Opt. Lasers Eng. 177, 108117 (2024)","journal-title":"Opt. Lasers Eng."},{"key":"2281_CR47","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.comcom.2023.12.035","volume":"215","author":"C Xue","year":"2024","unstructured":"Xue, C., Deng, Z., Wang, S., Hu, E., Zhang, Y., Yang, W., Wang, Y.: Glsff: global-local specific feature fusion for cross-modality pedestrian re-identification. Comput. Commun. 215, 157\u2013168 (2024)","journal-title":"Comput. Commun."},{"key":"2281_CR48","doi-asserted-by":"crossref","unstructured":"Qian, Y., Tang, S.-K.: Pose attention-guided paired-images generation for visible-infrared person re-identification. IEEE Signal Process. Lett. 31(000), 346-350(2024)","DOI":"10.1109\/LSP.2024.3354190"},{"key":"2281_CR49","doi-asserted-by":"publisher","first-page":"8432","DOI":"10.1109\/TMM.2023.3237155","volume":"25","author":"T Liang","year":"2023","unstructured":"Liang, T., Jin, Y., Liu, W., Li, Y.: Cross-modality transformer with modality mining for visible-infrared person re-identification. IEEE Trans. Multimedia 25, 8432\u20138444 (2023)","journal-title":"IEEE Trans. Multimedia"},{"issue":"4","key":"2281_CR50","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1109\/TNNLS.2021.3105702","volume":"34","author":"H Liu","year":"2021","unstructured":"Liu, H., Ma, S., Xia, D., Li, S.: Sfanet: a spectrum-aware feature augmentation network for visible-infrared person reidentification. IEEE Trans. Neural Netw. Learn.Syst. 34(4), 1958\u20131971 (2021)","journal-title":"IEEE Trans. Neural Netw. Learn.Syst."},{"key":"2281_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Lai, C., Liu, J., Huang, N., Han, J.: Fmcnet: Feature-level modality compensation for visible-infrared person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7349\u20137358 (2022)","DOI":"10.1109\/CVPR52688.2022.00720"},{"key":"2281_CR52","doi-asserted-by":"crossref","unstructured":"Yu, H., Cheng, X., Peng, W.: Toplight: lightweight neural networks with task-oriented pretraining for visible-infrared recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3541\u20133550 (2023)","DOI":"10.1109\/CVPR52729.2023.00345"},{"key":"2281_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108653","volume":"128","author":"N Huang","year":"2022","unstructured":"Huang, N., Liu, K., Liu, Y., Zhang, Q., Han, J.: Cross-modality person re-identification via multi-task learning. Pattern Recogn. 128, 108653 (2022)","journal-title":"Pattern Recogn."},{"key":"2281_CR54","doi-asserted-by":"publisher","first-page":"8432","DOI":"10.1109\/TMM.2023.3237155","volume":"25","author":"T Liang","year":"2023","unstructured":"Liang, T., Jin, Y., Liu, W., Li, Y.: Cross-modality transformer with modality mining for visible-infrared person re-identification. IEEE Trans. Multimedia 25, 8432\u20138444 (2023)","journal-title":"IEEE Trans. Multimedia"},{"key":"2281_CR55","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yan, Y., Li, J., Wang, H.: Mrcn: A novel modality restitution and compensation network for visible-infrared person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 3498\u20133506 (2023)","DOI":"10.1609\/aaai.v37i3.25459"},{"key":"2281_CR56","doi-asserted-by":"crossref","unstructured":"Lu, H., Zou, X., Zhang, P.: Learning progressive modality-shared transformers for effective visible-infrared person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, pp. 1835\u20131843 (2023)","DOI":"10.1609\/aaai.v37i2.25273"},{"key":"2281_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2024.105066","volume":"147","author":"J Guo","year":"2024","unstructured":"Guo, J., Du, H., Hao, X., Zhang, M.: Igie-net: cross-modality person re-identification via intermediate modality image generation and discriminative information enhancement. Image Vis. Comput. 147, 105066 (2024)","journal-title":"Image Vis. Comput."},{"key":"2281_CR58","doi-asserted-by":"crossref","unstructured":"Wu, Q., Dai, P., Chen, J., Lin, C.-W., Wu, Y., Huang, F., Zhong, B., Ji, R.: 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"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02281-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-026-02281-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02281-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T05:03:19Z","timestamp":1783314199000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-026-02281-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,10]]},"references-count":58,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["2281"],"URL":"https:\/\/doi.org\/10.1007\/s00530-026-02281-2","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,10]]},"assertion":[{"value":"12 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}}],"article-number":"177"}}