{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T10:30:49Z","timestamp":1761388249361,"version":"build-2065373602"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T00:00:00Z","timestamp":1755734400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T00:00:00Z","timestamp":1755734400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100014188","name":"Ministry of Science and ICT, South Korea","doi-asserted-by":"publisher","award":["RS-2023-0022945"],"award-info":[{"award-number":["RS-2023-0022945"]}],"id":[{"id":"10.13039\/501100014188","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s00530-025-01918-y","type":"journal-article","created":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T11:20:17Z","timestamp":1755775217000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Collaborative feature aggregation for face super-resolution and robust re-identification"],"prefix":"10.1007","volume":"31","author":[{"given":"Juheon","family":"Hwang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taewan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwoo","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,21]]},"reference":[{"issue":"6","key":"1918_CR1","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s00530-024-01584-6","volume":"30","author":"H Wu","year":"2024","unstructured":"Wu, H., Hao, X., Yang, L.: Mini-infrared imaging system image super-resolution via symmetric channel change and deep residual network. Multimedia Syst. 30(6), 377 (2024)","journal-title":"Multimedia Syst."},{"key":"1918_CR2","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1007\/s00530-020-00712-2","volume":"27","author":"J Liu","year":"2021","unstructured":"Liu, J., Ge, J., Xue, Y., He, W., Sun, Q., Li, S.: Multi-scale skip-connection network for image super-resolution. Multimedia Syst. 27, 821\u2013836 (2021)","journal-title":"Multimedia Syst."},{"key":"1918_CR3","doi-asserted-by":"crossref","unstructured":"Bellandi, V., Chehri, A., Cuomo, S., Jeon, G.: Special issue on deep learning for emerging big multimedia super-resolution. Springer (2021)","DOI":"10.1007\/s00530-021-00814-5"},{"issue":"5","key":"1918_CR4","doi-asserted-by":"publisher","first-page":"250","DOI":"10.1007\/s00530-024-01443-4","volume":"30","author":"D Wang","year":"2024","unstructured":"Wang, D., Wu, K.: Anomaly detection in surveillance videos using transformer with margin learning. Multimedia Syst. 30(5), 250 (2024)","journal-title":"Multimedia Syst."},{"issue":"1","key":"1918_CR5","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s00530-022-00979-7","volume":"29","author":"W Liu","year":"2023","unstructured":"Liu, W., Cao, J., Zhu, Y., Liu, B., Zhu, X.: Real-time anomaly detection on surveillance video with two-stream spatio-temporal generative model. Multimedia Syst. 29(1), 59\u201371 (2023)","journal-title":"Multimedia Syst."},{"key":"1918_CR6","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). IEEE","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"1918_CR7","doi-asserted-by":"crossref","unstructured":"Wang, X., Xie, L., Dong, C., Shan, Y.: Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1905\u20131914 (2021). IEEE","DOI":"10.1109\/ICCVW54120.2021.00217"},{"key":"1918_CR8","doi-asserted-by":"crossref","unstructured":"Chen, Y., Liu, S., Wang, X.: Learning continuous image representation with local implicit image function. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8628\u20138638 (2021). IEEE","DOI":"10.1109\/CVPR46437.2021.00852"},{"key":"1918_CR9","doi-asserted-by":"crossref","unstructured":"Gao, S., Liu, X., Zeng, B., Xu, S., Li, Y., Luo, X., Liu, J., Zhen, X., Zhang, B.: Implicit diffusion models for continuous super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10021\u201310030 (2023). IEEE","DOI":"10.1109\/CVPR52729.2023.00966"},{"key":"1918_CR10","doi-asserted-by":"crossref","unstructured":"Zheng, L., Bie, Z., Sun, Y., Wang, J., Su, C., Wang, S., Tian, Q.: MARS: A video benchmark for large-scale person re-identification. In: Proceedings of European Conference on Computer Vision, pp. 868\u2013884 (2016). Springer","DOI":"10.1007\/978-3-319-46466-4_52"},{"key":"1918_CR11","doi-asserted-by":"publisher","first-page":"2150","DOI":"10.1109\/TIP.2019.2945835","volume":"29","author":"K Grm","year":"2019","unstructured":"Grm, K., Scheirer, W.J., \u0160truc, V.: Face hallucination using cascaded super-resolution and identity priors. IEEE Trans. Image Process. 29, 2150\u20132165 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1918_CR12","doi-asserted-by":"crossref","unstructured":"Zhang, C., Liu, Z.: Face super-resolution with progressive embedding of multi-scale face priors. In: Proceedings of the IEEE International Joint Conference on Biometrics, pp. 1\u20138 (2022). IEEE","DOI":"10.1109\/IJCB54206.2022.10007954"},{"key":"1918_CR13","doi-asserted-by":"publisher","first-page":"5","DOI":"10.3389\/fnbot.2022.797231","volume":"16","author":"Z Teng","year":"2022","unstructured":"Teng, Z., Yu, X., Wu, C.: Blind face restoration via multi-prior collaboration and adaptive feature fusion. Front. Neurorobot. 16, 5 (2022)","journal-title":"Front. Neurorobot."},{"key":"1918_CR14","doi-asserted-by":"crossref","unstructured":"Gu, Y., Wang, X., Xie, L., Dong, C., Li, G., Shan, Y., Cheng, M.-M.: VQFR: Blind face restoration with vector-quantized dictionary and parallel decoder. In: Proceedings of the European Conference on Computer Vision, pp. 126\u2013143 (2022). Springer","DOI":"10.1007\/978-3-031-19797-0_8"},{"key":"1918_CR15","doi-asserted-by":"crossref","unstructured":"Bian, S., Li, H., Yu, F., Liu, J., Changjun, S., Tang, Y.: FAPN: Face alignment propagation network for face video super-resolution. In: Proceedings of the Asian Conference on Computer Vision, pp. 1\u201316 (2022)","DOI":"10.1007\/978-3-031-27066-6_1"},{"key":"1918_CR16","doi-asserted-by":"crossref","unstructured":"Yu, F., Li, H., Bian, S., Tang, Y.: An efficient network design for face video super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1513\u20131520 (2021). IEEE","DOI":"10.1109\/ICCVW54120.2021.00176"},{"key":"1918_CR17","doi-asserted-by":"crossref","unstructured":"Xin, J., Wang, N., Li, J., Gao, X., Li, Z.: Video face super-resolution with motion-adaptive feedback cell. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 12468\u201312475 (2020)","DOI":"10.1609\/aaai.v34i07.6934"},{"key":"1918_CR18","doi-asserted-by":"publisher","first-page":"13505","DOI":"10.1007\/s00521-021-05973-0","volume":"33","author":"M Farooq","year":"2021","unstructured":"Farooq, M., Dailey, M.N., Mahmood, A., Moonrinta, J., Ekpanyapong, M.: Human face super-resolution on poor quality surveillance video footage. Neural Comput. Appl. 33, 13505\u201313523 (2021)","journal-title":"Neural Comput. Appl."},{"key":"1918_CR19","doi-asserted-by":"crossref","unstructured":"Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., Change\u00a0Loy, C.: ESRGAN: Enhanced super-resolution generative adversarial networks. In: Proceedings of the European Conference on Computer Vision Workshops, pp. 63\u201379 (2019). Springer","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"1918_CR20","unstructured":"Yariv, L., Gu, J., Kasten, Y., Lipman, Y.: Volume rendering of neural implicit surfaces. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 34, pp. 4805\u20134815 (2021)"},{"key":"1918_CR21","unstructured":"Wang, P., Liu, L., Liu, Y., Theobalt, C., Komura, T., Wang, W.: NeuS: Learning neural implicit surfaces by volume rendering for multi-view Reconstruction. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 34, pp. 27171\u201327183 (2021)"},{"issue":"1","key":"1918_CR22","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1145\/3503250","volume":"65","author":"B Mildenhall","year":"2021","unstructured":"Mildenhall, B., Srinivasan, P.P., Tancik, M., Barron, J.T., Ramamoorthi, R., Ng, R.: NeRF: representing scenes as neural radiance fields for view synthesis. Commun. ACM 65(1), 99\u2013106 (2021)","journal-title":"Commun. ACM"},{"key":"1918_CR23","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 33, pp. 6840\u20136851 (2020)"},{"key":"1918_CR24","doi-asserted-by":"crossref","unstructured":"Chen, X., Liu, X., Liu, W., Zhang, X.-P., Zhang, Y., Mei, T.: Explainable person re-identification with attribute-guided metric distillation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11813\u201311822 (2021)","DOI":"10.1109\/ICCV48922.2021.01160"},{"key":"1918_CR25","doi-asserted-by":"crossref","unstructured":"Choi, S., Kim, T., Jeong, M., Park, H., Kim, C.: Meta batch-instance normalization for generalizable person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3425\u20133435 (2021)","DOI":"10.1109\/CVPR46437.2021.00343"},{"key":"1918_CR26","doi-asserted-by":"crossref","unstructured":"Huang, Y., Wu, Q., Xu, J., Zhong, Y., Zhang, Z.: Clothing status awareness for long-term person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11895\u201311904 (2021)","DOI":"10.1109\/ICCV48922.2021.01168"},{"key":"1918_CR27","doi-asserted-by":"crossref","unstructured":"Li, H., Wu, G., Zheng, W.-S.: Combined depth space based architecture search for person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6729\u20136738 (2021)","DOI":"10.1109\/CVPR46437.2021.00666"},{"key":"1918_CR28","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":"1918_CR29","doi-asserted-by":"crossref","unstructured":"Ren, M., He, L., Liao, X., Liu, W., Wang, Y., Tan, T.: Learning instance-level spatial-temporal patterns for person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 14930\u201314939 (2021)","DOI":"10.1109\/ICCV48922.2021.01466"},{"key":"1918_CR30","doi-asserted-by":"crossref","unstructured":"Wang, X., Li, S., Liu, M., Wang, Y., Roy-Chowdhury, A.K.: Multi-expert adversarial attack detection in person re-identification using context inconsistency. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 15097\u201315107 (2021)","DOI":"10.1109\/ICCV48922.2021.01482"},{"key":"1918_CR31","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Tang, S., Teng, G., Ge, Y., Liu, K., Qin, J., Qi, D., Chen, D.: Online pseudo label generation by hierarchical cluster dynamics for adaptive person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8371\u20138381 (2021)","DOI":"10.1109\/ICCV48922.2021.00826"},{"key":"1918_CR32","doi-asserted-by":"crossref","unstructured":"Gu, X., Chang, H., Ma, B., Zhang, H., Chen, X.: Appearance-preserving 3D convolution for video-based person re-identification. In: Proceedings of the European Conference on Computer Vision, pp. 228\u2013243 (2020). Springer","DOI":"10.1007\/978-3-030-58536-5_14"},{"key":"1918_CR33","doi-asserted-by":"crossref","unstructured":"Hou, R., Chang, H., Ma, B., Shan, S., Chen, X.: Temporal complementary learning for video person re-identification. In: Proceedings of the European Conference on Computer Vision, pp. 388\u2013405 (2020). Springer","DOI":"10.1007\/978-3-030-58595-2_24"},{"key":"1918_CR34","doi-asserted-by":"crossref","unstructured":"Shim, M., Ho, H.-I., Kim, J., Wee, D.: Read: Reciprocal attention discriminator for image-to-video re-identification. In: Proceedings of the European Conference on Computer Vision, pp. 335\u2013350 (2020). Springer","DOI":"10.1007\/978-3-030-58568-6_20"},{"key":"1918_CR35","doi-asserted-by":"crossref","unstructured":"Yan, Y., Qin, J., Chen, J., Liu, L., Zhu, F., Tai, Y., Shao, L.: Learning multi-granular hypergraphs for video-based person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2899\u20132908 (2020)","DOI":"10.1109\/CVPR42600.2020.00297"},{"key":"1918_CR36","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Lan, C., Zeng, W., Chen, Z.: 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 (2020)","DOI":"10.1109\/CVPR42600.2020.01042"},{"key":"1918_CR37","doi-asserted-by":"crossref","unstructured":"Eom, C., Lee, G., Lee, J., Ham, B.: 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 (2021)","DOI":"10.1109\/ICCV48922.2021.01182"},{"key":"1918_CR38","doi-asserted-by":"crossref","unstructured":"Wang, Y., Zhang, P., Gao, S., Geng, X., Lu, H., Wang, D.: Pyramid spatial-temporal aggregation for video-based person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12026\u201312035 (2021)","DOI":"10.1109\/ICCV48922.2021.01181"},{"key":"1918_CR39","doi-asserted-by":"crossref","unstructured":"Aich, A., Zheng, M., Karanam, S., Chen, T., Roy-Chowdhury, A.K., Wu, Z.: Spatio-temporal representation factorization for video-based person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 152\u2013162 (2021)","DOI":"10.1109\/ICCV48922.2021.00022"},{"key":"1918_CR40","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"1918_CR41","doi-asserted-by":"crossref","unstructured":"Deng, J., Guo, J., Xue, N., Zafeiriou, S.: ArcFace: Additive angular margin loss for deep face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4690\u20134699 (2019). IEEE","DOI":"10.1109\/CVPR.2019.00482"},{"key":"1918_CR42","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4401\u20134410 (2019). IEEE","DOI":"10.1109\/CVPR.2019.00453"},{"key":"1918_CR43","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation. In: Proceedings of the International Conference on Learning Representations (2018). https:\/\/openreview.net\/forum?id=Hk99zCeAb"},{"key":"1918_CR44","doi-asserted-by":"crossref","unstructured":"Nagrani, A., Chung, J.S., Zisserman, A.: VoxCeleb: A large-scale speaker identification dataset. In: Proceedings of the INTERSPEECH 2017, pp. 2616\u20132620 (2017)","DOI":"10.21437\/Interspeech.2017-950"},{"key":"1918_CR45","doi-asserted-by":"crossref","unstructured":"Chung, J., Nagrani, A., Zisserman, A.: VoxCeleb2: Deep speaker recognition. In: Proceedings of the INTERSPEECH 2018, pp. 1086\u20131090 (2018)","DOI":"10.21437\/Interspeech.2018-1929"},{"key":"1918_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2019.101027","volume":"60","author":"A Nagrani","year":"2020","unstructured":"Nagrani, A., Chung, J.S., Xie, W., Zisserman, A.: Voxceleb: llarge-scale speaker verification in the wild. Comput. Speech Lang. 60, 101027 (2020)","journal-title":"Comput. Speech Lang."},{"key":"1918_CR47","doi-asserted-by":"crossref","unstructured":"Xie, L., Wang, X., Zhang, H., Dong, C., Shan, Y.: VFHQ: A high-quality dataset and benchmark for video face super-resolution. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 657\u2013666 (2022). IEEE","DOI":"10.1109\/CVPRW56347.2022.00081"},{"key":"1918_CR48","doi-asserted-by":"crossref","unstructured":"Zhu, H., Wu, W., Zhu, W., Jiang, L., Tang, S., Zhang, L., Liu, Z., Loy, C.C.: CelebV-HQ: A large-scale video facial attributes dataset. In: Proceedings of the European Conference on Computer Vision, pp. 650\u2013667 (2022). Springer","DOI":"10.1007\/978-3-031-20071-7_38"},{"key":"1918_CR49","unstructured":"Wuu, C.-h., Zheng, N., Ardisson, S., Bali, R., Belko, D., Brockmeyer, E., Evans, L., Godisart, T., Ha, H., Hypes, A., et al.: Multiface: A dataset for neural face rendering. arXiv preprint arXiv:2207.11243 (2022)"},{"key":"1918_CR50","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)"},{"key":"1918_CR51","unstructured":"Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: Automatic differentiation in PyTorch. In: Proceedings of the Advances in Neural Information Processing Systems Workshop (2017)"},{"key":"1918_CR52","doi-asserted-by":"crossref","unstructured":"Kim, M., Jain, A.K., Liu, X.: AdaFace: Quality adaptive margin for face recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18750\u201318759 (2022)","DOI":"10.1109\/CVPR52688.2022.01819"},{"key":"1918_CR53","unstructured":"Dan, J., Liu, Y., Deng, J., Xie, H., Li, S., Sun, B., Luo, S.: TopoFR: A closer look at topology alignment on face recognition. In: Proceedings of the Advances in Neural Information Processing Systems"},{"key":"1918_CR54","doi-asserted-by":"crossref","unstructured":"Li, Z., Liu, H., Shang, F., Liu, Y., Wan, L., Feng, W.: SAVSR: Arbitrary-scale video super-resolution via a learned scale-adaptive network. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, pp. 3288\u20133296 (2024)","DOI":"10.1609\/aaai.v38i4.28114"},{"key":"1918_CR55","doi-asserted-by":"crossref","unstructured":"Cheng, R., Sun, Y., Yan, B., Tan, W., Ma, C.: Geometry-aware reference synthesis for multi-view image super-resolution. In: Proceedings of the 30th ACM International Conference on Multimedia, pp. 6083\u20136093 (2022)","DOI":"10.1145\/3503161.3547947"},{"key":"1918_CR56","unstructured":"Van Den\u00a0Oord, A., Vinyals, O., et al.: Neural discrete representation learning. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 30, pp. 6309\u20136318 (2017)"},{"issue":"4","key":"1918_CR57","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: From error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"1918_CR58","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 586\u2013595 (2018). IEEE","DOI":"10.1109\/CVPR.2018.00068"},{"key":"1918_CR59","doi-asserted-by":"crossref","unstructured":"Chan, E.R., Lin, C.Z., Chan, M.A., Nagano, K., Pan, B., De\u00a0Mello, S., Gallo, O., Guibas, L.J., Tremblay, J., Khamis, S., et al.: Efficient geometry-aware 3D generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 16123\u201316133 (2022). IEEE","DOI":"10.1109\/CVPR52688.2022.01565"},{"key":"1918_CR60","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: GANs trained by a two time-scale update rule converge to a local nash equilibrium. In: Proceedings of the Advances in Neural Information Processing Systems, vol. 30, pp. 6629\u20136640 (2017)"},{"key":"1918_CR61","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":"1918_CR62","doi-asserted-by":"crossref","unstructured":"Bai, S., Ma, B., Chang, H., Huang, R., Chen, X.: Salient-to-broad transition for video person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7339\u20137348 (2022)","DOI":"10.1109\/CVPR52688.2022.00719"},{"key":"1918_CR63","doi-asserted-by":"crossref","unstructured":"Zhu, H., Budhwant, P., Zheng, Z., Nevatia, R.: SEAS: ShapE-aligned supervision for person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 164\u2013174 (2024)","DOI":"10.1109\/CVPR52733.2024.00024"},{"key":"1918_CR64","unstructured":"Cho, Y., Kim, J., Kim, W.J., Jung, J., Yoon, S.-E.: Generalizable person re-identification via balancing alignment and uniformity. In: Proceedings of the Advances in Neural Information Processing Systems (2024). https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2024\/hash\/53fba4404ebecf9730dc8919b71d4d22-Abstract-Conference.html"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01918-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-025-01918-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-025-01918-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T10:26:55Z","timestamp":1761388015000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-025-01918-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,21]]},"references-count":64,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["1918"],"URL":"https:\/\/doi.org\/10.1007\/s00530-025-01918-y","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"type":"print","value":"0942-4962"},{"type":"electronic","value":"1432-1882"}],"subject":[],"published":{"date-parts":[[2025,8,21]]},"assertion":[{"value":"26 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 August 2025","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 Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}}],"article-number":"341"}}