{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T15:36:11Z","timestamp":1787585771167,"version":"build-2736575974"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"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":["62166008"],"award-info":[{"award-number":["62166008"]}],"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":["62166008"],"award-info":[{"award-number":["62166008"]}],"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":["62166008"],"award-info":[{"award-number":["62166008"]}],"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":["62166008"],"award-info":[{"award-number":["62166008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s00371-024-03471-7","type":"journal-article","created":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T18:01:27Z","timestamp":1716832887000},"page":"1705-1717","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["A novel image restoration solution for cross-resolution person re-identification"],"prefix":"10.1007","volume":"41","author":[{"given":"Houfu","family":"Peng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xing","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daoxun","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyao","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,27]]},"reference":[{"key":"3471_CR1","doi-asserted-by":"publisher","unstructured":"Cheng, Z., Dong, Q., Gong, S., Zhu, X.: Inter-task association critic for cross-resolution person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2605\u20132615 (2020). https:\/\/doi.org\/10.1109\/CVPR42600.2020.00268","DOI":"10.1109\/CVPR42600.2020.00268"},{"key":"3471_CR2","doi-asserted-by":"publisher","first-page":"8913","DOI":"10.1109\/TIP.2021.3120054","volume":"30","author":"G Zhang","year":"2021","unstructured":"Zhang, G., Ge, Y., Dong, Z., Wang, H., Zheng, Y., Chen, S.: Deep high-resolution representation learning for cross-resolution person re-identification. IEEE Trans. Image Process. 30, 8913\u20138925 (2021). https:\/\/doi.org\/10.1109\/TIP.2021.3120054","journal-title":"IEEE Trans. Image Process."},{"key":"3471_CR3","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1007\/978-3-030-01225-0_30","DOI":"10.1007\/978-3-030-01225-0_30"},{"issue":"1","key":"3471_CR4","doi-asserted-by":"publisher","first-page":"2036","DOI":"10.1002\/cav.2036","volume":"33","author":"J Zhang","year":"2022","unstructured":"Zhang, J., Lei, J., Yang, S., Yang, X.: Semantic interaction learning for fine-grained vehicle recognition. Comput. Anim. Virtual Worlds 33(1), 2036 (2022). https:\/\/doi.org\/10.1002\/cav.2036","journal-title":"Comput. Anim. Virtual Worlds"},{"issue":"5","key":"3471_CR5","doi-asserted-by":"publisher","first-page":"7495","DOI":"10.3233\/JIFS-200793","volume":"39","author":"D Xia","year":"2020","unstructured":"Xia, D., Guo, F., Liu, H., Yu, S.: Unsupervised learning of visual invariant features for person re-identification. J. Intell. Fuzzy Syst. 39(5), 7495\u20137503 (2020). https:\/\/doi.org\/10.3233\/JIFS-200793","journal-title":"J. Intell. Fuzzy Syst."},{"key":"3471_CR6","doi-asserted-by":"publisher","unstructured":"Wang, Z., Ye, M., Yang, F., Bai, X., Cascaded SR-GAN for scale-adaptive low resolution person re-identification. In: IJCAI, vol. 1, p. 4 (2018). https:\/\/doi.org\/10.24963\/ijcai.2018\/541","DOI":"10.24963\/ijcai.2018\/541"},{"issue":"7","key":"3471_CR7","doi-asserted-by":"publisher","first-page":"6662","DOI":"10.1109\/TCYB.2021.3079311","volume":"52","author":"B Sheng","year":"2021","unstructured":"Sheng, B., Li, P., Ali, R., Chen, C.P.: Improving video temporal consistency via broad learning system. IEEE Trans. Cybern. 52(7), 6662\u20136675 (2021). https:\/\/doi.org\/10.1109\/TCYB.2021.3079311","journal-title":"IEEE Trans. Cybern."},{"issue":"9\u201311","key":"3471_CR8","doi-asserted-by":"publisher","first-page":"2657","DOI":"10.1007\/s00371-021-02199-y","volume":"37","author":"Z Chen","year":"2021","unstructured":"Chen, Z., Qiu, J., Sheng, B., Li, P., Wu, E.: GPSD: generative parking spot detection using multi-clue recovery model. Vis. Comput. 37(9\u201311), 2657\u20132669 (2021). https:\/\/doi.org\/10.1007\/s00371-021-02199-y","journal-title":"Vis. Comput."},{"key":"3471_CR9","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022 (2021). arXiv:2103.14030","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"3471_CR10","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3144890","author":"N Jiang","year":"2022","unstructured":"Jiang, N., Sheng, B., Li, P., Lee, T.-Y.: Photohelper: portrait photographing guidance via deep feature retrieval and fusion. IEEE Trans. Multimed. (2022). https:\/\/doi.org\/10.1109\/TMM.2022.3144890","journal-title":"IEEE Trans. Multimed."},{"key":"3471_CR11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.152","author":"X Lin","year":"2021","unstructured":"Lin, X., Sun, S., Huang, W., Sheng, B., Li, P., Feng, D.D.: EAPT: efficient attention pyramid transformer for image processing. IEEE Trans. Multimed. (2021). https:\/\/doi.org\/10.1109\/CVPR.2016.152","journal-title":"IEEE Trans. Multimed."},{"key":"3471_CR12","doi-asserted-by":"crossref","unstructured":"Stergiou, A., Poppe, R., Kalliatakis, G.: Refining activation downsampling with softpool. In: IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 10337\u201310346 (2021)","DOI":"10.1109\/ICCV48922.2021.01019"},{"key":"3471_CR13","doi-asserted-by":"publisher","unstructured":"Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Computer Vision\u2013ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12\u201318, 2008, Proceedings, Part I 10, pp. 262\u2013275 (2008). Springer. https:\/\/doi.org\/10.1007\/978-3-540-88682-2_21","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"3471_CR14","doi-asserted-by":"publisher","unstructured":"Liao, S., Hu, Y., Zhu, X., Li, S.Z.: Person re-identification by local maximal occurrence representation and metric learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2197\u20132206 (2015). https:\/\/doi.org\/10.1109\/CVPR.2015.7298832","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"3471_CR15","doi-asserted-by":"publisher","unstructured":"Matsukawa, T., Okabe, T., Suzuki, E., Sato, Y.: Hierarchical gaussian descriptor for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1363\u20131372 (2016). https:\/\/doi.org\/10.1109\/TMM.2021.3120873","DOI":"10.1109\/TMM.2021.3120873"},{"key":"3471_CR16","doi-asserted-by":"publisher","unstructured":"Huang, Y., Zha, Z.-J., Fu, X., Zhang, W.: Illumination-invariant person re-identification. In: Proceedings of the 27th ACM International Conference on Multimedia, pp. 365\u2013373 (2019). https:\/\/doi.org\/10.1007\/s11042-017-4875-7","DOI":"10.1007\/s11042-017-4875-7"},{"key":"3471_CR17","doi-asserted-by":"publisher","unstructured":"Gu, J., Wang, K., Luo, H., Chen, C., Jiang, W., Fang, Y., Zhang, S., You, Y., Zhao, J.: MSINet: Twins contrastive search of multi-scale interaction for object ReID. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 19243\u201319253 (2023). https:\/\/doi.org\/10.1109\/CVPR52729.2023.01844","DOI":"10.1109\/CVPR52729.2023.01844"},{"key":"3471_CR18","doi-asserted-by":"publisher","unstructured":"Liu, J., Ni, B., Yan, Y., Zhou, P., Cheng, S., Hu, J.: Pose transferrable person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4099\u20134108 (2018). https:\/\/doi.org\/10.1016\/j.knosys.2021.107024","DOI":"10.1016\/j.knosys.2021.107024"},{"key":"3471_CR19","doi-asserted-by":"publisher","unstructured":"Miao, J., Wu, Y., Liu, P., Ding, Y., Yang, Y.: Pose-guided feature alignment for occluded person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 542\u2013551 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00063","DOI":"10.1109\/ICCV.2019.00063"},{"key":"3471_CR20","doi-asserted-by":"publisher","unstructured":"Dong, Q., Gong, S., Zhu, X.: Person search by text attribute query as zero-shot learning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3652\u20133661 (2019). https:\/\/doi.org\/10.1109\/ICCV.2019.00375","DOI":"10.1109\/ICCV.2019.00375"},{"key":"3471_CR21","doi-asserted-by":"publisher","unstructured":"Karanam, S., Li, Y., Radke, R.J.: Person re-identification with discriminatively trained viewpoint invariant dictionaries. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4516\u20134524 (2015). https:\/\/doi.org\/10.1109\/ICCV.2015.513","DOI":"10.1109\/ICCV.2015.513"},{"key":"3471_CR22","doi-asserted-by":"publisher","unstructured":"Bak, S., Zaidenberg, S., Boulay, B., Bremond, F.: Improving person re-identification by viewpoint cues. In: 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 175\u2013180 (2014). IEEE. https:\/\/doi.org\/10.1109\/AVSS.2014.6918664","DOI":"10.1109\/AVSS.2014.6918664"},{"issue":"10","key":"3471_CR23","doi-asserted-by":"publisher","first-page":"6360","DOI":"10.1109\/TPAMI.2021.3088914","volume":"44","author":"K Zhang","year":"2021","unstructured":"Zhang, K., Li, Y., Zuo, W., Zhang, L., Van Gool, L., Timofte, R.: Plug-and-play image restoration with deep denoiser prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(10), 6360\u20136376 (2021). https:\/\/doi.org\/10.1109\/TPAMI.2021.3088914","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3471_CR24","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.patcog.2017.10.013","volume":"77","author":"J Gu","year":"2018","unstructured":"Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., et al.: Recent advances in convolutional neural networks. Pattern Recogn. 77, 354\u2013377 (2018). https:\/\/doi.org\/10.1016\/j.patcog.2017.10.013","journal-title":"Pattern Recogn."},{"key":"3471_CR25","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Zhang, J., Gu, X., Tan, C., Xu, S., Zhang, Y., Timofte, R., Van\u00a0Gool, L.: Spherical space feature decomposition for guided depth map super-resolution. arXiv preprint arXiv:2303.08942 (2023)","DOI":"10.1109\/ICCV51070.2023.01153"},{"key":"3471_CR26","doi-asserted-by":"publisher","unstructured":"Tai, Y., Yang, J., Liu, X., Xu, C.: Memnet: A persistent memory network for image restoration. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4539\u20134547 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.486","DOI":"10.1109\/ICCV.2017.486"},{"issue":"4","key":"3471_CR27","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1109\/CVPR.2016.152","volume":"30","author":"Y Kim","year":"2019","unstructured":"Kim, Y., Soh, J.W., Park, J., Ahn, B., Lee, H.-S., Moon, Y.-S., Cho, N.I.: A pseudo-blind convolutional neural network for the reduction of compression artifacts. IEEE Trans. Circuits Syst. Video Technol. 30(4), 1121\u20131135 (2019). https:\/\/doi.org\/10.1109\/CVPR.2016.152","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3471_CR28","unstructured":"Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets. Advances in neural information processing systems 27 (2014). arXiv:1406.2661"},{"key":"3471_CR29","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Li, Z., Guo, C.-L., Bai, S., Cheng, M.-M., Hou, Q.: Srformer: Permuted self-attention for single image super-resolution. arXiv preprint arXiv:2303.09735 (2023)","DOI":"10.1109\/ICCV51070.2023.01174"},{"key":"3471_CR30","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, Y., Gu, J., Kong, L., Yang, X., Yu, F.: Dual aggregation transformer for image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12312\u201312321 (2023)","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"3471_CR31","doi-asserted-by":"publisher","unstructured":"Jing, X.-Y., Zhu, X., Wu, F., You, X., Liu, Q., Yue, D., Hu, R., Xu, B.: Super-resolution person re-identification with semi-coupled low-rank discriminant dictionary learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 695\u2013704 (2015). https:\/\/doi.org\/10.1109\/CVPR.2015.7298669","DOI":"10.1109\/CVPR.2015.7298669"},{"issue":"6","key":"3471_CR32","doi-asserted-by":"publisher","first-page":"2116","DOI":"10.1002\/cav.2116","volume":"33","author":"C Peng","year":"2022","unstructured":"Peng, C., Tu, Z., Qiu, S., Li, C., Wang, C., Qin, H.: Learning frequency-aware convolutional neural network for spatio\u2013temporal super-resolution water surface waves. Comput. Anim. Virtual Worlds 33(6), 2116 (2022). https:\/\/doi.org\/10.1002\/cav.2116","journal-title":"Comput. Anim. Virtual Worlds"},{"key":"3471_CR33","doi-asserted-by":"publisher","unstructured":"Jiao, J., Zheng, W.-S., Wu, A., Zhu, X., Gong, S.: Deep low-resolution person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32 (2018). https:\/\/doi.org\/10.1609\/aaai.v32i1.12284","DOI":"10.1609\/aaai.v32i1.12284"},{"key":"3471_CR34","doi-asserted-by":"publisher","unstructured":"Li, J., Chen, J., Sheng, B., Li, P., Yang, P., Feng, D.D., Qi, J.: Automatic detection and classification system of domestic waste via multimodel cascaded convolutional neural network. IEEE Trans. Ind. Inf. 18(1), 163\u2013173 (2021). https:\/\/doi.org\/10.1109\/TII.2021.3085669","DOI":"10.1109\/TII.2021.3085669"},{"key":"3471_CR35","doi-asserted-by":"publisher","unstructured":"Xie, Z., Zhang, W., Sheng, B., Li, P., Chen, C.P.: BAGFN: broad attentive graph fusion network for high-order feature interactions. IEEE Trans. Neural Netw. Learn. Syst. (2021). https:\/\/doi.org\/10.1109\/TNNLS.2021.3116209","DOI":"10.1109\/TNNLS.2021.3116209"},{"key":"3471_CR36","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van\u00a0Gool, L., Timofte, R.: SwinIR: Image restoration using Swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1833\u20131844 (2021). arXiv:2108.10257","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"3471_CR37","doi-asserted-by":"publisher","unstructured":"Huang, G., Liu, Z., Van Der\u00a0Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4700\u20134708 (2017). https:\/\/doi.org\/10.1109\/CVPR.2017.243","DOI":"10.1109\/CVPR.2017.243"},{"key":"3471_CR38","doi-asserted-by":"publisher","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). https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"3471_CR39","doi-asserted-by":"publisher","unstructured":"Zhong, Z., Zheng, L., Zheng, Z., Li, S., Yang, Y.: Camera style adaptation for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5157\u20135166 (2018). https:\/\/doi.org\/10.1109\/CVPR.2018.00541","DOI":"10.1109\/CVPR.2018.00541"},{"key":"3471_CR40","doi-asserted-by":"publisher","unstructured":"Martinel, N., Luca\u00a0Foresti, G., Micheloni, C.: Aggregating deep pyramidal representations for person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (2019). https:\/\/doi.org\/10.1109\/CVPRW.2019.00196","DOI":"10.1109\/CVPRW.2019.00196"},{"key":"3471_CR41","doi-asserted-by":"publisher","unstructured":"Li, X., Zheng, W.-S., Wang, X., Xiang, T., Gong, S.: Multi-scale learning for low-resolution person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3765\u20133773 (2015). https:\/\/doi.org\/10.1109\/ICCV.2015.429","DOI":"10.1109\/ICCV.2015.429"},{"key":"3471_CR42","doi-asserted-by":"publisher","unstructured":"Wang, Z., Hu, R., Yu, Y., Jiang, J., Liang, C., Wang, J.: Scale-adaptive low-resolution person re-identification via learning a discriminating surface. In: IJCAI, vol. 2, p. 6 (2016). https:\/\/doi.org\/10.24963\/ijcai.2018\/541","DOI":"10.24963\/ijcai.2018\/541"},{"key":"3471_CR43","doi-asserted-by":"publisher","unstructured":"Han, K., Huang, Y., Chen, Z., Wang, L., Tan, T.: Prediction and recovery for adaptive low-resolution person re-identification. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XXVI 16, pp. 193\u2013209 (2020). Springer. https:\/\/doi.org\/10.1007\/978-3-030-58574-7_12","DOI":"10.1007\/978-3-030-58574-7_12"},{"key":"3471_CR44","doi-asserted-by":"publisher","unstructured":"Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., Tian, Q.: Scalable person re-identification: A benchmark. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1116\u20131124 (2015). https:\/\/doi.org\/10.1109\/ICCV.2015.133","DOI":"10.1109\/ICCV.2015.133"},{"key":"3471_CR45","doi-asserted-by":"publisher","unstructured":"Li, W., Zhao, R., Xiao, T., Wang, X.: Deepreid: Deep filter pairing neural network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 152\u2013159 (2014). https:\/\/doi.org\/10.1109\/CVPR.2014.27","DOI":"10.1109\/CVPR.2014.27"},{"key":"3471_CR46","doi-asserted-by":"publisher","unstructured":"Cheng, D.S., Cristani, M., Stoppa, M., Bazzani, L., Murino, V., et al.: Custom pictorial structures for re-identification. In: Bmvc, vol. 1, p. 6 (2011). Citeseer. https:\/\/doi.org\/10.5244\/C.25.68","DOI":"10.5244\/C.25.68"},{"key":"3471_CR47","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":"3471_CR48","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Zheng, L., Yang, Y.: Unlabeled samples generated by GAN improve the person re-identification baseline in vitro. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3754\u20133762 (2017). arXiv:1701.07717","DOI":"10.1109\/ICCV.2017.405"},{"key":"3471_CR49","doi-asserted-by":"publisher","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017). https:\/\/doi.org\/10.1109\/ICCV.2017.244","DOI":"10.1109\/ICCV.2017.244"},{"key":"3471_CR50","doi-asserted-by":"publisher","unstructured":"Cheng, D., Gong, Y., Zhou, S., Wang, J., Zheng, N.: Person re-identification by multi-channel parts-based CNN with improved triplet loss function. In: Proceedings of the iEEE Conference on Computer Vision and Pattern Recognition, pp. 1335\u20131344 (2016). https:\/\/doi.org\/10.1109\/CVPR.2016.149","DOI":"10.1109\/CVPR.2016.149"},{"key":"3471_CR51","unstructured":"Ge, Y., Li, Z., Zhao, H., Yin, G., Yi, S., Wang, X., et al.: FD-GAN: pose-guided feature distilling GAN for robust person re-identification. In: Advances in Neural Information Processing Systems, vol. 31 (2018). arXiv:1810.02936"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03471-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-024-03471-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03471-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T09:55:49Z","timestamp":1739354149000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-024-03471-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":51,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3471"],"URL":"https:\/\/doi.org\/10.1007\/s00371-024-03471-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3594420\/v1","asserted-by":"object"}]},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,27]]},"assertion":[{"value":"7 May 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}