{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T16:07:08Z","timestamp":1771344428822,"version":"3.50.1"},"reference-count":104,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:00:00Z","timestamp":1769040000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T00:00:00Z","timestamp":1769040000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62225207"],"award-info":[{"award-number":["62225207"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62436008"],"award-info":[{"award-number":["62436008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62422609"],"award-info":[{"award-number":["62422609"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62276243"],"award-info":[{"award-number":["62276243"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s11263-025-02670-6","type":"journal-article","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T14:26:07Z","timestamp":1769091967000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Learning Robust Event-Guided Representations for Person Re-Identification"],"prefix":"10.1007","volume":"134","author":[{"given":"Chengzhi","family":"Cao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8036-4071","authenticated-orcid":false,"given":"Xueyang","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Senyan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Chengjie","family":"Ge","sequence":"additional","affiliation":[]},{"given":"Kunyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zheng-Jun","family":"Zha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,22]]},"reference":[{"key":"2670_CR1","doi-asserted-by":"crossref","unstructured":"Ahmad, S., Morerio, P., & Del\u00a0Bue, A. (2023). Person re-identification without identification via event anonymization. In IEEE International Conference on Computer Vision, (pp. 11132\u201311141).","DOI":"10.1109\/ICCV51070.2023.01022"},{"key":"2670_CR2","doi-asserted-by":"crossref","unstructured":"Ahmad, S., Scarpellini, G., Morerio, P., & A. Del\u00a0Bue. (2022). Event-driven re-id: A new benchmark and method towards privacy-preserving person re-identification. In Proceedings of the IEEE\/CVF winter conference on applications of computer vision, (pp. 459\u2013468).","DOI":"10.1109\/WACVW54805.2022.00052"},{"key":"2670_CR3","doi-asserted-by":"crossref","unstructured":"Aich, A., Zheng, M., Karanam, S., Chen, T., Roy-Chowdhury, A.K., & Wu, Z. (2021). Spatio-temporal representation factorization for video-based person re-identification. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 152\u2013162).","DOI":"10.1109\/ICCV48922.2021.00022"},{"key":"2670_CR4","doi-asserted-by":"crossref","unstructured":"Aich, A., Zheng, M., Karanam, S., Chen, T., Roy-Chowdhury, A.K., & Wu, Z. (2021). Spatio-temporal representation factorization for video-based person re-identification. In IEEE International Conference on Computer Vision, (pp. 152\u2013162).","DOI":"10.1109\/ICCV48922.2021.00022"},{"key":"2670_CR5","doi-asserted-by":"crossref","unstructured":"Bai, S., Ma, B., Chang, H., Huang, R., & Chen, X. (2022). Salient-to-broad transition for video person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, (pp. 7339\u20137348).","DOI":"10.1109\/CVPR52688.2022.00719"},{"key":"2670_CR6","doi-asserted-by":"crossref","unstructured":"Calabrese, E., Taverni, G., Easthope, C.A., Skriabine, S., Corradi, F., Longinotti, L., Eng, K., & Delbruck, T. (2019). Dhp19: Dynamic vision sensor 3d human pose dataset. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition workshops","DOI":"10.1109\/CVPRW.2019.00217"},{"key":"2670_CR7","doi-asserted-by":"crossref","unstructured":"Cao, C., Fu, X., Liu, H., Huang, Y., Wang, K., Luo, J., Zha, Z-J. (2023). Event-guided person re-identification via sparse-dense complementary learning. In IEEE Conference on Computer Vision and Pattern Recognition, (pp. 17990\u201317999).","DOI":"10.1109\/CVPR52729.2023.01725"},{"key":"2670_CR8","unstructured":"Cao, C., Fu, X., Zhu, Y., Sun, Z., & Zha, Z-J. (2023). Event-driven video restoration with spiking-convolutional architecture. IEEE Transactions on Neural Networks and Learning Systems"},{"key":"2670_CR9","doi-asserted-by":"crossref","unstructured":"Cao, Y., Xu, J., Lin, S., Wei, F., & Hu, H. (2019). Gcnet: Non-local networks meet squeeze-excitation networks and beyond. In Proceedings of the IEEE\/CVF International Conference on Computer Vision workshops, (pp. 0\u20130).","DOI":"10.1109\/ICCVW.2019.00246"},{"issue":"9","key":"2670_CR10","doi-asserted-by":"publisher","first-page":"6100","DOI":"10.1109\/TCSVT.2022.3157130","volume":"32","author":"C Chen","year":"2022","unstructured":"Chen, C., Ye, M., Qi, M., Jingjing, W., Liu, Y., & Jiang, J. (2022). Saliency and granularity: Discovering temporal coherence for video-based person re-identification. IEEE Transactions on Circuits and Systems for Video Technology, 32(9), 6100\u20136112.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"2670_CR11","doi-asserted-by":"crossref","unstructured":"Chen, G., Rao, Y., Lu, J., & Zhou, J. (2020). Temporal coherence or temporal motion: Which is more critical for video-based person re-identification? In European Conference on Computer Vision, (pp. 660\u2013676).","DOI":"10.1007\/978-3-030-58598-3_39"},{"key":"2670_CR12","doi-asserted-by":"crossref","unstructured":"Chen, J., Shi, H., Ye, Y., Yang, K., Sun, L., & Wang, K. (2022). Efficient human pose estimation via 3d event point cloud. In 2022 International Conference on 3D Vision (3DV), (pp. 1\u201310). IEEE","DOI":"10.1109\/3DV57658.2022.00023"},{"key":"2670_CR13","doi-asserted-by":"crossref","unstructured":"Chen, P., Liu, W., Dai, P., Liu, J., Ye, Q., Xu, M., Chen, Q., Ji, R. (2021). Occlude them all: Occlusion-aware attention network for occluded person re-id. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 11833\u201311842).","DOI":"10.1109\/ICCV48922.2021.01162"},{"key":"2670_CR14","doi-asserted-by":"crossref","unstructured":"Cui, Y., & Kang, Y. (2023). Multi-modal gait recognition via effective spatial-temporal feature fusion. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 17949\u201317957).","DOI":"10.1109\/CVPR52729.2023.01721"},{"key":"2670_CR15","doi-asserted-by":"crossref","unstructured":"Dai, Y., Sun, Y., Liu, J., Tong, Z., & Duan, L-Y. (2024). Bridging the source-to-target gap for cross-domain person re-identification with intermediate domains. International Journal of Computer Vision, (pp. 1\u201325).","DOI":"10.1007\/s11263-024-02169-6"},{"key":"2670_CR16","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., & Houlsby, N. (2021). AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE."},{"key":"2670_CR17","doi-asserted-by":"crossref","unstructured":"Duan, P., Wang, Z.W., Zhou, X., Ma, Y., & Shi, B. (2021). Eventzoom: Learning to denoise and super resolve neuromorphic events. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 12824\u201312833).","DOI":"10.1109\/CVPR46437.2021.01263"},{"key":"2670_CR18","doi-asserted-by":"crossref","unstructured":"Eom, C., Lee, G., Lee, J., & Ham, B. (2021). Video-based person re-identification with spatial and temporal memory networks. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 12036\u201312045).","DOI":"10.1109\/ICCV48922.2021.01182"},{"key":"2670_CR19","doi-asserted-by":"crossref","unstructured":"Gao, S., Wang, J., Lu, H., & Liu, Z. (2020). 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).","DOI":"10.1109\/CVPR42600.2020.01176"},{"key":"2670_CR20","doi-asserted-by":"crossref","unstructured":"Gehrig, D., Rebecq, H., Gallego, G., & Scaramuzza, D. (2018). Asynchronous, photometric feature tracking using events and frames. In Proceedings of the European Conference on Computer Vision, (pp. 750\u2013765).","DOI":"10.1007\/978-3-030-01258-8_46"},{"key":"2670_CR21","doi-asserted-by":"crossref","unstructured":"Gu, X., Chang, H., Ma, B., Zhang, H., & Chen, X. (2020). Appearance-preserving 3d convolution for video-based person re-identification. In European Conference on Computer Vision, (pp. 228\u2013243).","DOI":"10.1007\/978-3-030-58536-5_14"},{"key":"2670_CR22","doi-asserted-by":"crossref","unstructured":"Han, C., Gao, C., & Sang, N. (2020). Keypoint-based feature matching for partial person re-identification. In 2020 IEEE International Conference on Image Processing (ICIP), (pp. 226\u2013230). IEEE.","DOI":"10.1109\/ICIP40778.2020.9191196"},{"key":"2670_CR23","doi-asserted-by":"crossref","unstructured":"Han, J., Yang, Y., Zhou, C., Xu, C., & Shi, B. (2021). Evintsr-net: Event guided multiple latent frames reconstruction and super-resolution. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 4882\u20134891).","DOI":"10.1109\/ICCV48922.2021.00484"},{"key":"2670_CR24","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In IEEE Conference on Computer Vision and Pattern Recognition, (pp. 770\u2013778).","DOI":"10.1109\/CVPR.2016.90"},{"key":"2670_CR25","doi-asserted-by":"crossref","unstructured":"He, L., Liang, J., Li, H., & Sun, Z. (2018). Deep spatial feature reconstruction for partial person re-identification: Alignment-free approach. In Proceedings of the IEEE conference on computer vision and pattern recognition, (pp. 7073\u20137082).","DOI":"10.1109\/CVPR.2018.00739"},{"key":"2670_CR26","doi-asserted-by":"crossref","unstructured":"He, L., Liang, J., Li, H., & Sun, Z. (2018). Deep spatial feature reconstruction for partial person re-identification: Alignment-free approach. In Proceedings of the IEEE conference on computer vision and pattern recognition, (pp. 7073\u20137082).","DOI":"10.1109\/CVPR.2018.00739"},{"key":"2670_CR27","unstructured":"He, L., Wang, Y., Liu, W., Zhao, H., Sun, Z., & Feng, J. (2019). Foreground-aware pyramid reconstruction for alignment-free occluded person re-identification. In Proceedings of the IEEE\/CVF international conference on computer vision, (pp. 8450\u20138459)."},{"key":"2670_CR28","unstructured":"He, L., Wang, Y., Liu, W., Zhao, H., Sun, Z., & Feng, J. (2019). Foreground-aware pyramid reconstruction for alignment-free occluded person re-identification. In Proceedings of the IEEE\/CVF international conference on computer vision, (pp. 8450\u20138459)."},{"key":"2670_CR29","doi-asserted-by":"crossref","unstructured":"Hirzer, M., Beleznai, C., Roth, P.M., & Bischof, H. (2011). Person re-identification by descriptive and discriminative classification. In Image Analysis: 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011. Proceedings 17, (pp. 91\u2013102).","DOI":"10.1007\/978-3-642-21227-7_9"},{"key":"2670_CR30","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Huang, R., & Shan, S. (2021). Bicnet-tks: Learning efficient spatial-temporal representation for video person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 2014\u20132023).","DOI":"10.1109\/CVPR46437.2021.00205"},{"key":"2670_CR31","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Huang, R., & Shan, S. (2021). Bicnet-tks: Learning efficient spatial-temporal representation for video person re-identification. In IEEE Conference on Computer Vision and Pattern Recognition, (pp. 2014\u20132023).","DOI":"10.1109\/CVPR46437.2021.00205"},{"key":"2670_CR32","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Shan, S., & Chen, X. (2020). Temporal complementary learning for video person re-identification. In European Conference on Computer Vision, (pp. 388\u2013405).","DOI":"10.1007\/978-3-030-58595-2_24"},{"issue":"9","key":"2670_CR33","first-page":"4894","volume":"44","author":"R Hou","year":"2022","unstructured":"Hou, R., Ma, B., Chang, H., Xinqian, G., Shan, S., & Chen, X. (2022). Feature completion for occluded person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9), 4894\u20134912.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2670_CR34","doi-asserted-by":"crossref","unstructured":"Hu, Y., Liu, S.-C., & Delbruck, T. (2021). v2e: From video frames to realistic dvs events. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 1312\u20131321).","DOI":"10.1109\/CVPRW53098.2021.00144"},{"issue":"11","key":"2670_CR35","doi-asserted-by":"publisher","first-page":"2770","DOI":"10.1007\/s11263-022-01666-w","volume":"130","author":"Y Huang","year":"2022","unstructured":"Huang, Y., Xueyang, F., Li, L., & Zha, Z.-J. (2022). Learning degradation-invariant representation for robust real-world person re-identification. International Journal of Computer Vision, 130(11), 2770\u20132796.","journal-title":"International Journal of Computer Vision"},{"key":"2670_CR36","doi-asserted-by":"publisher","first-page":"2770","DOI":"10.1007\/s11263-022-01666-w","volume":"130","author":"Y Huang","year":"2022","unstructured":"Huang, Y., Xueyang, F., Li, L., & Zha, Z.-J. (2022). Learning degradation-invariant representation for robust real-world person re-identification. In International Journal of Computer Vision, 130, 2770\u20132796.","journal-title":"In International Journal of Computer Vision"},{"key":"2670_CR37","doi-asserted-by":"crossref","unstructured":"Huang, Y., Zha, Z.-J., Fu, X., & Zhang, W. (2019). Illumination-invariant person re-identification. In Proceedings of the 27th ACM international conference on multimedia, (pp. 365\u2013373).","DOI":"10.1145\/3343031.3350994"},{"key":"2670_CR38","doi-asserted-by":"crossref","unstructured":"Kar, O.F., Yeo, T., Atanov, A., & Zamir, A. (2022). 3d common corruptions and data augmentation. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 18963\u201318974).","DOI":"10.1109\/CVPR52688.2022.01839"},{"key":"2670_CR39","doi-asserted-by":"crossref","unstructured":"Kim, J., Bae, J., Park, G., Zhang, D., & Kim, Y.M. (2021). N-imagenet: Towards robust, fine-grained object recognition with event cameras. In IEEE International Conference on Computer Vision, (pp. 2146\u20132156).","DOI":"10.1109\/ICCV48922.2021.00215"},{"key":"2670_CR40","unstructured":"Kingma, D.P., & Ba, J. (2014). Adam: A method for stochastic optimization. arXiv:1412.6980"},{"key":"2670_CR41","doi-asserted-by":"crossref","unstructured":"Leng, Q., Ye, M., & Tian, Q. (2020). A Survey of Open-World Person Re-Identification. (Vol. 30, pp. 1092\u20131108).","DOI":"10.1109\/TCSVT.2019.2898940"},{"key":"2670_CR42","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, J., Tian, Q., Gao, W., & Zhang, S. (2019). Global-local temporal representations for video person re-identification. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 3958\u20133967).","DOI":"10.1109\/ICCV.2019.00406"},{"key":"2670_CR43","doi-asserted-by":"publisher","first-page":"8618","DOI":"10.1609\/aaai.v33i01.33018618","volume":"33","author":"J Li","year":"2019","unstructured":"Li, J., Zhang, S., & Huang, T. (2019). Multi-scale 3d convolution network for video based person re-identification. In Proceedings of the AAAI Conference on Artificial Intelligence, 33, 8618\u20138625.","journal-title":"In Proceedings of the AAAI Conference on Artificial Intelligence"},{"issue":"2","key":"2670_CR44","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1109\/TPAMI.2019.2929036","volume":"44","author":"J Li","year":"2019","unstructured":"Li, J., Zhang, S., Tian, Q., Wang, M., & Gao, W. (2019). Pose-guided representation learning for person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(2), 622\u2013635.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"2","key":"2670_CR45","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1109\/TPAMI.2019.2929036","volume":"44","author":"J Li","year":"2022","unstructured":"Li, J., Zhang, S., Tian, Q., Wang, M., & Gao, W. (2022). Pose-guided representation learning for person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(2), 622\u2013635.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2670_CR46","doi-asserted-by":"crossref","unstructured":"Li, Q., Xu, K., Peng, Y., & Zhou, J. (2024). Exemplar-free lifelong person re-identification via prompt-guided adaptive knowledge consolidation. International Journal of Computer Vision, (pp. 1\u201316).","DOI":"10.1007\/s11263-024-02110-x"},{"issue":"6","key":"2670_CR47","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1007\/s11263-019-01274-1","volume":"128","author":"W Li","year":"2020","unstructured":"Li, W., Zhu, X., & Gong, S. (2020). Scalable person re-identification by harmonious attention. International Journal of Computer Vision, 128(6), 1635\u20131653.","journal-title":"International Journal of Computer Vision"},{"key":"2670_CR48","first-page":"695","volume":"12353","author":"S Lin","year":"2020","unstructured":"Lin, S., Zhang, J., Pan, J., Jiang, Z., Zou, D., Wang, Y., Chen, J., & Ren, J. (2020). Learning event-driven video deblurring and interpolation. In European Conference on Computer Vision, 12353, 695\u2013710.","journal-title":"In European Conference on Computer Vision"},{"key":"2670_CR49","doi-asserted-by":"crossref","unstructured":"Liu, J., Zha, Z-J., Wu, W., Zheng, K., & Sun, Q. (2021). Spatial-temporal correlation and topology learning for person re-identification in videos. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 4370\u20134379).","DOI":"10.1109\/CVPR46437.2021.00435"},{"key":"2670_CR50","doi-asserted-by":"crossref","unstructured":"Liu, K., Ma, B., Zhang, W., & Huang, R. (2015). A spatio-temporal appearance representation for viceo-based pedestrian re-identification. In Proceedings of the IEEE International Conference on Computer Vision, (pp. 3810\u20133818).","DOI":"10.1109\/ICCV.2015.434"},{"key":"2670_CR51","doi-asserted-by":"crossref","unstructured":"Liu, X., Zhang, P., Yu, C., Lu, H., & Yang, X. (2021). Watching you: Global-guided reciprocal learning for video-based person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 13334\u201313343).","DOI":"10.1109\/CVPR46437.2021.01313"},{"key":"2670_CR52","doi-asserted-by":"publisher","first-page":"8786","DOI":"10.1609\/aaai.v33i01.33018786","volume":"33","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Yuan, Z., Zhou, W., & Li, H. (2019). Spatial and temporal mutual promotion for video-based person re-identification. In Proceedings of the AAAI Conference on Artificial Intelligence, 33, 8786\u20138793.","journal-title":"In Proceedings of the AAAI Conference on Artificial Intelligence"},{"issue":"2","key":"2670_CR53","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.1109\/TPAMI.2022.3167053","volume":"45","author":"C Luo","year":"2023","unstructured":"Luo, C., Song, C., & Zhang, Z. (2023). Learning to adapt across dual discrepancy for cross-domain person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2), 1963\u20131980.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2670_CR54","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s11042-018-6239-3","volume":"78","author":"F Ma","year":"2019","unstructured":"Ma, F., Zhu, X., Zhang, X., Yang, L., Zuo, M., & Jing, X.-Y. (2019). Low illumination person re-identification. Multimedia Tools and Applications, 78, 337\u2013362.","journal-title":"Multimedia Tools and Applications"},{"key":"2670_CR55","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s11042-018-6239-3","volume":"78","author":"F Ma","year":"2019","unstructured":"Ma, F., Zhu, X., Zhang, X., Yang, L., Zuo, M., & Jing, X.-Y. (2019). Low illumination person re-identification. In Multimedia Tools and Applications, 78, 337\u2013362.","journal-title":"In Multimedia Tools and Applications"},{"key":"2670_CR56","doi-asserted-by":"crossref","unstructured":"Miao, J., Wu, Y., Liu, P., Ding, Y., & Yang, Y. (2019). Pose-guided feature alignment for occluded person re-identification. In Proceedings of the IEEE\/CVF international conference on computer vision, (pp. 542\u2013551).","DOI":"10.1109\/ICCV.2019.00063"},{"key":"2670_CR57","unstructured":"Ming, Z., Zhu, M., Wang, X., Zhu, J., Cheng, J., Gao, C., Yang, Y., & Wei, X. (2020). Deep learning-based person re-identification methods: A survey and outlook of recent works."},{"key":"2670_CR58","doi-asserted-by":"crossref","unstructured":"Nikhal, K., Ma, Y., Bhattacharyya, S.S., & Riggan, B.S. (2024). Hashreid: Dynamic network with binary codes for rfficient person re-identification. In IEEE Winter Conference on Applications of Computer Vision, (pp. 6046\u20136055).","DOI":"10.1109\/WACV57701.2024.00594"},{"key":"2670_CR59","doi-asserted-by":"crossref","unstructured":"Paredes-Vall\u00e9s, F., & CHE De\u00a0Croon, G. (2021). Back to event basics: Self-supervised learning of image reconstruction for event cameras via photometric constancy. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 3446\u20133455).","DOI":"10.1109\/CVPR46437.2021.00345"},{"issue":"2","key":"2670_CR60","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1109\/TPAMI.2019.2928294","volume":"42","author":"X Qian","year":"2019","unstructured":"Qian, X., Yanwei, F., Xiang, T., Jiang, Y.-G., & Xue, X. (2019). Leader-based multi-scale attention deep architecture for person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(2), 371\u2013385.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"1","key":"2670_CR61","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1007\/s11263-023-01864-0","volume":"132","author":"H Rao","year":"2024","unstructured":"Rao, H., Leung, C., & Miao, C. (2024). Hierarchical skeleton meta-prototype contrastive learning with hard skeleton mining for unsupervised person re-identification. International Journal of Computer Vision, 132(1), 238\u2013260.","journal-title":"International Journal of Computer Vision"},{"key":"2670_CR62","doi-asserted-by":"crossref","unstructured":"Raychaudhuri, D.S., & Roy-Chowdhury, A.K. (2020). Exploiting temporal coherence for self-supervised one-shot video re-identification. In European Conference on Computer Vision, (pp. 258\u2013274).","DOI":"10.1007\/978-3-030-58583-9_16"},{"key":"2670_CR63","doi-asserted-by":"crossref","unstructured":"Subramaniam, A., Nambiar, A., & Mittal, A. (2019) Co-segmentation inspired attention networks for video-based person re-identification. In IEEE\/CVF International Conference on Computer Vision, (pp. 562\u2013572).","DOI":"10.1109\/ICCV.2019.00065"},{"key":"2670_CR64","doi-asserted-by":"crossref","unstructured":"Sun, Y., Xu, Q., Li, Y., Zhang, C., Li, Y., Wang, S., & Sun, J. (2019). Perceive where to focus: Learning visibility-aware part-level features for partial person re-identification. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, (pp. 393\u2013402).","DOI":"10.1109\/CVPR.2019.00048"},{"key":"2670_CR65","doi-asserted-by":"crossref","unstructured":"Wang, B., He, J., Yu, L., Xia, G-S., & Yang, W. (2020). Event enhanced high-quality image recovery. In European Conference on Computer Vision, (pp. 155\u2013171).","DOI":"10.1007\/978-3-030-58601-0_10"},{"key":"2670_CR66","doi-asserted-by":"crossref","unstructured":"Wang, G., Yang, S., Liu, H., Wang, Z., Yang, Y., Wang, S., Yu, G., Zhou, E., & Sun, J. (2020). High-order information matters: Learning relation and topology for occluded person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 6449\u20136458).","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"2670_CR67","doi-asserted-by":"crossref","unstructured":"Wang, G., Yang, S., Liu, H., Wang, Z., Yang, Y., Wang, S., Yu, G., Zhou, E., & Sun, J. (2020). High-order information matters: Learning relation and topology for occluded person re-identification. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, (pp. 6449\u20136458).","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"2670_CR68","doi-asserted-by":"crossref","unstructured":"Wang, G., Yang, S., Liu, H., Wang, Z., Yang, Y., Wang, S., Yu, G., Zhou, E., & Sun, J. (2020). High-order information matters: Learning relation and topology for occluded person re-identification. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, (pp. 6449\u20136458).","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"2670_CR69","doi-asserted-by":"crossref","unstructured":"Wang, G., Gong, S., Cheng, J., & Hou, Z. (2020). Faster person re-identification. In European conference on computer vision, (pp. 275\u2013292). Springer.","DOI":"10.1007\/978-3-030-58598-3_17"},{"key":"2670_CR70","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1109\/TNNLS.2020.3027589","volume":"33","author":"H Wang","year":"2020","unstructured":"Wang, H., Jiao, L., Yang, S., Li, L., & Wang, Z. (2020). Simple and effective: Spatial rescaling for person reidentification. In IEEE Transactions on neural networks and learning systems, 33, 145\u2013156.","journal-title":"In IEEE Transactions on neural networks and learning systems"},{"key":"2670_CR71","doi-asserted-by":"crossref","unstructured":"Wang, T., Gong, S., Zhu, X., & Wang, S. (2014). Person re-identification by video ranking. In European Conference on Computer Vision, (pp. 688\u2013703).","DOI":"10.1007\/978-3-319-10593-2_45"},{"key":"2670_CR72","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., & He, K. (2018). Non-local neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, (pp. 7794\u20137803).","DOI":"10.1109\/CVPR.2018.00813"},{"key":"2670_CR73","doi-asserted-by":"crossref","unstructured":"Wang, Y., Zhang, P., Gao, S., Geng, X., Lu, H., & Wang, D. (2021). Pyramid spatial-temporal aggregation for video-based person re-identification. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 12026\u201312035).","DOI":"10.1109\/ICCV48922.2021.01181"},{"key":"2670_CR74","doi-asserted-by":"crossref","unstructured":"Wang, Y., Zhang, P., Gao, S., Geng, X., Lu, H., & Wang, D. (2021). Pyramid spatial-temporal aggregation for video-based person re-identification. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 12026\u201312035).","DOI":"10.1109\/ICCV48922.2021.01181"},{"key":"2670_CR75","doi-asserted-by":"crossref","unstructured":"Wu, J., He, L., Liu, W., Yang, Y., Lei, Z., Mei, T., & Li, SZ. (2022). Cavit: Contextual alignment vision transformer for video object re-identification. In European Conference on Computer Vision, (pp. 549\u2013566).","DOI":"10.1007\/978-3-031-19781-9_32"},{"key":"2670_CR76","doi-asserted-by":"crossref","unstructured":"Xu, F., Yu, L., Wang, B., Yang, W., Xia, G-S., Jia, X., Qiao, Z., & Liu, J. (2021). Motion deblurring with real events. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 2583\u20132592).","DOI":"10.1109\/ICCV48922.2021.00258"},{"key":"2670_CR77","doi-asserted-by":"crossref","unstructured":"Xu, S., Cheng, Y., Gu, K., Yang, Y., Chang, S., & Zhou, P. (2017). Jointly attentive spatial-temporal pooling networks for video-based person re-identification. In Proceedings of the IEEE International Conference on Computer Vision, (pp. 4733\u20134742).","DOI":"10.1109\/ICCV.2017.507"},{"key":"2670_CR78","doi-asserted-by":"crossref","unstructured":"Yang, J., Zhang, J., Yu, F., Jiang, X., Zhang, M., Sun, X., Chen, Y-C., & Zheng, W-S. (2021). Learning to know where to see: A visibility-aware approach for occluded person re-identification. In Proceedings of the IEEE\/CVF international conference on computer vision, (pp. 11885\u201311894).","DOI":"10.1109\/ICCV48922.2021.01167"},{"key":"2670_CR79","doi-asserted-by":"crossref","unstructured":"Yang, J., Zheng, W-S., Yang, Q., Chen, Y-C., & Tian, Q. (2020). Spatial-temporal graph convolutional network for video-based person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 3289\u20133299).","DOI":"10.1109\/CVPR42600.2020.00335"},{"key":"2670_CR80","doi-asserted-by":"crossref","unstructured":"Yang, Y., Kneip, A., & Frenkel, C. (2024). Evgnn: An event-driven graph neural network accelerator for edge vision. IEEE Transactions on Circuits and Systems for Artificial Intelligence.","DOI":"10.1109\/TCASAI.2024.3520905"},{"key":"2670_CR81","doi-asserted-by":"crossref","unstructured":"Ye, C., Mitrokhin, A., Ferm\u00fcller, C., Yorke, J.A., & Aloimonos, Y. (2020). Unsupervised learning of dense optical flow, depth and egomotion with event-based sensors. In 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems, (pp. 5831\u20135838).","DOI":"10.1109\/IROS45743.2020.9341224"},{"key":"2670_CR82","unstructured":"Ye, M., Shen, J., Lin, G., Xiang, T., Shao, L., & Hoi, S. C.\u00a0H. (2021). Deep Learning for Person Re-identification: A Survey and Outlook."},{"issue":"6","key":"2670_CR83","doi-asserted-by":"publisher","first-page":"1654","DOI":"10.1007\/s11263-019-01259-0","volume":"128","author":"J Yin","year":"2020","unstructured":"Yin, J., Ancong, W., & Zheng, W.-S. (2020). Fine-grained person re-identification. International journal of computer vision, 128(6), 1654\u20131672.","journal-title":"International journal of computer vision"},{"key":"2670_CR84","doi-asserted-by":"crossref","unstructured":"Yuan, M., Wu, B., Zhang, H., Pu, J., & Li, X. (2023). Video-based person re-identification algorithm combining spatial-temporal self-attention mechanism and local feature. In IEEE International Conference on Pattern Recognition and Artificial Intelligence, (pp. 498\u2013503).","DOI":"10.1109\/PRAI59366.2023.10331986"},{"key":"2670_CR85","doi-asserted-by":"crossref","unstructured":"Zeng, Z., Wang, Z., Wang, Z., Zheng, Y., Chuang, Y-Y., & Satoh, S. (2020). Illumination-adaptive person re-identification. In IEEE Transactions on Multimedia, (pp. 3064\u20133074).","DOI":"10.1109\/TMM.2020.2969782"},{"key":"2670_CR86","doi-asserted-by":"crossref","unstructured":"Zhang, J., Dong, B., Zhang, H., Ding, J., Heide, F., Yin, B., & Yang, X. (2022). Spiking transformers for event-based single object tracking. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 8801\u20138810).","DOI":"10.1109\/CVPR52688.2022.00860"},{"issue":"4","key":"2670_CR87","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1109\/TPAMI.2020.2976969","volume":"43","author":"L Zhang","year":"2021","unstructured":"Zhang, L., Shi, Z., Zhou, J. T., Cheng, M.-M., Liu, Y., Bian, J.-W., Zeng, Z., & Shen, C. (2021). Ordered or orderless: A revisit for video based person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4), 1460\u20131466.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2670_CR88","doi-asserted-by":"crossref","unstructured":"Zhang, L., Fu, X., Huang, F., Yang, Y., & Gao, X. (2024). An open-world, diverse, cross-spatial-temporal benchmark for dynamic wild person re-identification. International Journal of Computer Vision, (pp. 1\u201324).","DOI":"10.1007\/s11263-024-02057-z"},{"key":"2670_CR89","doi-asserted-by":"publisher","first-page":"1875","DOI":"10.1007\/s11263-021-01461-z","volume":"129","author":"S Zhang","year":"2021","unstructured":"Zhang, S., Chen, D., Yang, J., & Schiele, B. (2021). Guided attention in cnns for occluded pedestrian detection and re-identification. International Journal of Computer Vision, 129, 1875\u20131892.","journal-title":"International Journal of Computer Vision"},{"key":"2670_CR90","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Lan, C., Zeng, W., & Chen, Z. (2020). Multi-granularity reference-aided attentive feature aggregation for video-based person re-identification. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 10407\u201310416).","DOI":"10.1109\/CVPR42600.2020.01042"},{"key":"2670_CR91","doi-asserted-by":"crossref","unstructured":"Zhao, H., Jiang, L., Jia, J., Torr,P.HS., & Koltun, V. (2021). Point transformer. In IEEE\/CVF International Conference on Computer Vision, (pp. 16259\u201316268).","DOI":"10.1109\/ICCV48922.2021.01595"},{"key":"2670_CR92","doi-asserted-by":"crossref","unstructured":"Zheng, L., Bie, Z., Sun, Y., Wang, J., Su, C., Wang, S., & Tian, Q. (2016). Mars: A video benchmark for large-scale person re-identification. In European Conference on Computer Vision, (pp. 868\u2013884).","DOI":"10.1007\/978-3-319-46466-4_52"},{"key":"2670_CR93","doi-asserted-by":"crossref","unstructured":"Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., & Tian, Q. (2015). Scalable person re-identification: A benchmark. In Proceedings of the IEEE international conference on computer vision, (pp. 1116\u20131124).","DOI":"10.1109\/ICCV.2015.133"},{"key":"2670_CR94","doi-asserted-by":"crossref","unstructured":"Zheng, W.-S., Li, X., Xiang, T., Liao, S., Lai, J., & Gong, S. (2015). Partial person re-identification. In Proceedings of the IEEE international conference on computer vision, (pp. 4678\u20134686).","DOI":"10.1109\/ICCV.2015.531"},{"key":"2670_CR95","doi-asserted-by":"publisher","first-page":"13001","DOI":"10.1609\/aaai.v34i07.7000","volume":"34","author":"Z Zhong","year":"2020","unstructured":"Zhong, Z., Zheng, L., Kang, G., Li, S., & Yang, Y. (2020). Random erasing data augmentation. In AAAI conference on artificial intelligence, 34, 13001\u201313008.","journal-title":"In AAAI conference on artificial intelligence"},{"issue":"8","key":"2670_CR96","first-page":"2723","volume":"43","author":"Z Zhong","year":"2020","unstructured":"Zhong, Z., Zheng, L., Luo, Z., Li, S., & Yang, Y. (2020). Learning to adapt invariance in memory for person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(8), 2723\u20132738.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"2670_CR97","doi-asserted-by":"crossref","unstructured":"Zhou, C., Teng, M., Han, J., Xu, C., & Shi, B. (2021). Delieve-net: Deblurring low-light images with light streaks and local events. In Proceedings of the IEEE\/CVF International Conference on Computer Vision, (pp. 1155\u20131164).","DOI":"10.1109\/ICCVW54120.2021.00135"},{"key":"2670_CR98","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yang, Y., Cavallaro, A., & Xiang, T. (2021). Learning generalisable omni-scale representations for person re-identification. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9), 5056\u20135069.","DOI":"10.1109\/TPAMI.2021.3069237"},{"key":"2670_CR99","doi-asserted-by":"crossref","unstructured":"Zhu, A.Z., Yuan, L., Chaney, K., & Daniilidis, K. (2018). EV-FlowNet: Self-supervised optical flow estimation for event-based cameras. In Robotics: Science and Systems XIV.","DOI":"10.15607\/RSS.2018.XIV.062"},{"key":"2670_CR100","doi-asserted-by":"crossref","unstructured":"Zhu, A.Z., Yuan, L., Chaney, K., & Daniilidis, K. (2019). Unsupervised event-based learning of optical flow, depth, and egomotion. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, (pp. 989\u2013997).","DOI":"10.1109\/CVPR.2019.00108"},{"key":"2670_CR101","doi-asserted-by":"crossref","unstructured":"Zhu, X., Zhu, X., Li, M., Morerio, P., Murino, V., & Gong, S. (2021). Intra-camera supervised person re-identification. International journal of computer vision,129, 1580\u20131595.","DOI":"10.1007\/s11263-021-01440-4"},{"key":"2670_CR102","doi-asserted-by":"crossref","unstructured":"Zhuo, J., Chen, Z., Lai, J., & Wang, G. (2018). Occluded person re-identification. In 2018 IEEE International Conference on Multimedia and Expo, (pp. 1\u20136).","DOI":"10.1109\/ICME.2018.8486568"},{"key":"2670_CR103","doi-asserted-by":"crossref","unstructured":"Zhuo, J., Chen, Z., Lai, J., & Wang, G. (2018). Occluded person re-identification. In 2018 IEEE international conference on multimedia and expo (ICME), (pp. 1\u20136). IEEE.","DOI":"10.1109\/ICME.2018.8486568"},{"key":"2670_CR104","doi-asserted-by":"crossref","unstructured":"Zhuo, J., Lai, J., & Chen, P. (2019). A novel teacher-student learning framework for occluded person re-identification. arXiv:1907.03253.","DOI":"10.1109\/ICME.2018.8486568"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-025-02670-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-025-02670-6","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-025-02670-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T15:20:52Z","timestamp":1771341652000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-025-02670-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,22]]},"references-count":104,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["2670"],"URL":"https:\/\/doi.org\/10.1007\/s11263-025-02670-6","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"value":"0920-5691","type":"print"},{"value":"1573-1405","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,22]]},"assertion":[{"value":"29 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"82"}}