{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:11:49Z","timestamp":1780053109783,"version":"3.54.0"},"publisher-location":"Cham","reference-count":61,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031732539","type":"print"},{"value":"9783031732546","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T00:00:00Z","timestamp":1732752000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-73254-6_25","type":"book-chapter","created":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T07:23:43Z","timestamp":1732692223000},"page":"433-451","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Towards Real-World Event-Guided Low-Light Video Enhancement and\u00a0Deblurring"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8608-9514","authenticated-orcid":false,"given":"Taewoo","family":"Kim","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9836-2979","authenticated-orcid":false,"given":"Jaeseok","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0896-6793","authenticated-orcid":false,"given":"Hoonhee","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0279-146X","authenticated-orcid":false,"given":"Yuhwan","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1634-2756","authenticated-orcid":false,"given":"Kuk-Jin","family":"Yoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,28]]},"reference":[{"key":"25_CR1","doi-asserted-by":"crossref","unstructured":"Cai, Y., Bian, H., Lin, J., Wang, H., Timofte, R., Zhang, Y.: Retinexformer: one-stage retinex-based transformer for low-light image enhancement. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.01149"},{"key":"25_CR2","unstructured":"Chao, Z., Hang, D., Jinshan, P., Boyang, L., Yuhao, H., Lean, F., Fei, W.: Deep recurrent neural network with multi-scale bi-directional propagation for video deblurring. In: AAAI (2022)"},{"key":"25_CR3","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-031-20071-7_2","volume-title":"ECCV 2022","author":"L Chen","year":"2022","unstructured":"Chen, L., Chu, X., Zhang, X., Sun, J.: Simple baselines for image restoration. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13667, pp. 17\u201333. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20071-7_2"},{"key":"25_CR4","unstructured":"Chen, S., Zhang, J., Zheng, Y., Huang, T., Yu, Z.: Enhancing motion deblurring in high-speed scenes with spike streams. In: Advances in Neural Information Processing Systems, vol. 36 (2024)"},{"key":"25_CR5","first-page":"4479","volume":"33","author":"L Chi","year":"2020","unstructured":"Chi, L., Jiang, B., Mu, Y.: Fast Fourier convolution. Adv. Neural. Inf. Process. Syst. 33, 4479\u20134488 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"25_CR6","doi-asserted-by":"crossref","unstructured":"Cho, H., Jeong, Y., Kim, T., Yoon, K.J.: Non-coaxial event-guided motion deblurring with spatial alignment. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12492\u201312503 (2023)","DOI":"10.1109\/ICCV51070.2023.01148"},{"key":"25_CR7","doi-asserted-by":"crossref","unstructured":"Cho, S.J., Ji, S.W., Hong, J.P., Jung, S.W., Ko, S.J.: Rethinking coarse-to-fine approach in single image deblurring. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4641\u20134650 (2021)","DOI":"10.1109\/ICCV48922.2021.00460"},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Dong, J., Pan, J., Yang, Z., Tang, J.: Multi-scale residual low-pass filter network for image deblurring. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12345\u201312354 (2023)","DOI":"10.1109\/ICCV51070.2023.01134"},{"issue":"1","key":"25_CR9","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1109\/TPAMI.2020.3008413","volume":"44","author":"G Gallego","year":"2020","unstructured":"Gallego, G., et al.: Event-based vision: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1), 154\u2013180 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Guo, C., et al.: Zero-reference deep curve estimation for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1780\u20131789 (2020)","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"Hu, Y., Liu, S.C., Delbruck, T.: v2e: from video frames to realistic DVS events. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1312\u20131321 (2021)","DOI":"10.1109\/CVPRW53098.2021.00144"},{"key":"25_CR12","doi-asserted-by":"crossref","unstructured":"Jiang, Z., Zhang, Y., Zou, D., Ren, J., Lv, J., Liu, Y.: Learning event-based motion deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3320\u20133329 (2020)","DOI":"10.1109\/CVPR42600.2020.00338"},{"key":"25_CR13","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1007\/978-3-031-19797-0_30","volume-title":"ECCV 2022","author":"T Kim","year":"2022","unstructured":"Kim, T., Lee, J., Wang, L., Yoon, K.J.: Event-guided deblurring of unknown exposure time videos. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13678, pp. 519\u2013538. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19797-0_30"},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Kong, L., Dong, J., Ge, J., Li, M., Pan, J.: Efficient frequency domain-based transformers for high-quality image deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5886\u20135895 (2023)","DOI":"10.1109\/CVPR52729.2023.00570"},{"issue":"12","key":"25_CR15","doi-asserted-by":"publisher","first-page":"9396","DOI":"10.1109\/TPAMI.2021.3126387","volume":"44","author":"C Li","year":"2021","unstructured":"Li, C., et al.: Low-light image and video enhancement using deep learning: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 9396\u20139416 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Liang, J., Yang, Y., Li, B., Duan, P., Xu, Y., Shi, B.: Coherent event guided low-light video enhancement. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10615\u201310625 (2023)","DOI":"10.1109\/ICCV51070.2023.00974"},{"key":"25_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1007\/978-3-030-58598-3_41","volume-title":"Computer Vision \u2013 ECCV 2020","author":"S Lin","year":"2020","unstructured":"Lin, S., et al.: Learning event-driven video deblurring and interpolation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12353, pp. 695\u2013710. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58598-3_41"},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Liu, L., et al.: Low-light video enhancement with synthetic event guidance. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a037, pp. 1692\u20131700 (2023)","DOI":"10.1609\/aaai.v37i2.25257"},{"key":"25_CR19","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1007\/978-3-031-19818-2_37","volume-title":"ECCV 2022","author":"Y Liu","year":"2022","unstructured":"Liu, Y., Yu, R., Wang, J., Zhao, X., Wang, Y., Tang, Y., Yang, Y.: Global spectral filter memory network for video object segmentation. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13689, pp. 648\u2013665. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19818-2_37"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Huang, T., Dong, W., Wu, F., Li, X., Shi, G.: Low-light image enhancement with multi-stage residue quantization and brightness-aware attention. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12140\u201312149 (2023)","DOI":"10.1109\/ICCV51070.2023.01115"},{"key":"25_CR21","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore, K.G., Akintayo, A., Sarkar, S.: LLNet: a deep autoencoder approach to natural low-light image enhancement. Pattern Recogn. 61, 650\u2013662 (2017)","journal-title":"Pattern Recogn."},{"key":"25_CR22","unstructured":"Lv, F., Lu, F., Wu, J., Lim, C.: MBLLEN: low-light image\/video enhancement using CNNs. In: BMVC, vol.\u00a0220, p.\u00a04 (2018)"},{"key":"25_CR23","doi-asserted-by":"crossref","unstructured":"Mao, X., Liu, Y., Liu, F., Li, Q., Shen, W., Wang, Y.: Intriguing findings of frequency selection for image deblurring. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a037, pp. 1905\u20131913 (2023)","DOI":"10.1609\/aaai.v37i2.25281"},{"key":"25_CR24","doi-asserted-by":"crossref","unstructured":"Nah, S., Hyun\u00a0Kim, T., Mu\u00a0Lee, K.: Deep multi-scale convolutional neural network for dynamic scene deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3883\u20133891 (2017)","DOI":"10.1109\/CVPR.2017.35"},{"key":"25_CR25","doi-asserted-by":"crossref","unstructured":"Pan, J., Xu, B., Dong, J., Ge, J., Tang, J.: Deep discriminative spatial and temporal network for efficient video deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22191\u201322200 (2023)","DOI":"10.1109\/CVPR52729.2023.02125"},{"key":"25_CR26","doi-asserted-by":"crossref","unstructured":"Pan, L., Hartley, R., Scheerlinck, C., Liu, M., Yu, X., Dai, Y.: High frame rate video reconstruction based on an event camera. IEEE Trans. Pattern Anal. Mach. Intell. (2020)","DOI":"10.1109\/TPAMI.2020.3036667"},{"key":"25_CR27","doi-asserted-by":"crossref","unstructured":"Pan, L., Scheerlinck, C., Yu, X., Hartley, R., Liu, M., Dai, Y.: Bringing a blurry frame alive at high frame-rate with an event camera. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6820\u20136829 (2019)","DOI":"10.1109\/CVPR.2019.00698"},{"key":"25_CR28","unstructured":"Rebecq, H., Gehrig, D., Scaramuzza, D.: ESIM: an open event camera simulator. In: Conference on Robot Learning, pp. 969\u2013982. PMLR (2018)"},{"key":"25_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-030-58595-2_12","volume-title":"Computer Vision \u2013 ECCV 2020","author":"J Rim","year":"2020","unstructured":"Rim, J., Lee, H., Won, J., Cho, S.: Real-world blur dataset for learning and benchmarking deblurring algorithms. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12370, pp. 184\u2013201. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58595-2_12"},{"key":"25_CR30","doi-asserted-by":"crossref","unstructured":"Su, S., Delbracio, M., Wang, J., Sapiro, G., Heidrich, W., Wang, O.: Deep video deblurring for hand-held cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1279\u20131288 (2017)","DOI":"10.1109\/CVPR.2017.33"},{"key":"25_CR31","doi-asserted-by":"crossref","unstructured":"Sun, J., Cao, W., Xu, Z., Ponce, J.: Learning a convolutional neural network for non-uniform motion blur removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 769\u2013777 (2015)","DOI":"10.1109\/CVPR.2015.7298677"},{"key":"25_CR32","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1007\/978-3-031-19797-0_24","volume-title":"ECCV 2022","author":"L Sun","year":"2022","unstructured":"Sun, L., Sakaridis, C., Liang, J., Jiang, Q., Yang, K., Sun, P., Ye, Y., Wang, K., Gool, L.V.: Event-based fusion for motion deblurring with cross-modal attention. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13678, pp. 412\u2013428. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19797-0_24"},{"key":"25_CR33","doi-asserted-by":"crossref","unstructured":"Sun, L., et al.: Event-based frame interpolation with ad-hoc deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 18043\u201318052 (2023)","DOI":"10.1109\/CVPR52729.2023.01730"},{"key":"25_CR34","doi-asserted-by":"crossref","unstructured":"Tao, X., Gao, H., Shen, X., Wang, J., Jia, J.: Scale-recurrent network for deep image deblurring. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8174\u20138182 (2018)","DOI":"10.1109\/CVPR.2018.00853"},{"key":"25_CR35","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1007\/978-3-031-19800-7_9","volume-title":"ECCV 2022","author":"FJ Tsai","year":"2022","unstructured":"Tsai, F.J., Peng, Y.T., Lin, Y.Y., Tsai, C.C., Lin, C.W.: Stripformer: strip transformer for fast image deblurring. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13679, pp. 146\u2013162. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-19800-7_9"},{"key":"25_CR36","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"25_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/978-3-030-58601-0_10","volume-title":"Computer Vision \u2013 ECCV 2020","author":"B Wang","year":"2020","unstructured":"Wang, B., He, J., Yu, L., Xia, G.-S., Yang, W.: Event enhanced high-quality image recovery. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12358, pp. 155\u2013171. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58601-0_10"},{"key":"25_CR38","doi-asserted-by":"crossref","unstructured":"Wang, R., Xu, X., Fu, C.W., Lu, J., Yu, B., Jia, J.: Seeing dynamic scene in the dark: a high-quality video dataset with mechatronic alignment. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 9700\u20139709 (2021)","DOI":"10.1109\/ICCV48922.2021.00956"},{"key":"25_CR39","doi-asserted-by":"crossref","unstructured":"Wang, R., Zhang, Q., Fu, C.W., Shen, X., Zheng, W.S., Jia, J.: Underexposed photo enhancement using deep illumination estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6849\u20136857 (2019)","DOI":"10.1109\/CVPR.2019.00701"},{"key":"25_CR40","doi-asserted-by":"crossref","unstructured":"Wang, T., Zhang, K., Shen, T., Luo, W., Stenger, B., Lu, T.: Ultra-high-definition low-light image enhancement: a benchmark and transformer-based method. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a037, pp. 2654\u20132662 (2023)","DOI":"10.1609\/aaai.v37i3.25364"},{"key":"25_CR41","doi-asserted-by":"crossref","unstructured":"Wang, Y., Liu, Z., Liu, J., Xu, S., Liu, S.: Low-light image enhancement with illumination-aware gamma correction and complete image modelling network. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13128\u201313137 (2023)","DOI":"10.1109\/ICCV51070.2023.01207"},{"key":"25_CR42","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Exposurediffusion: learning to expose for low-light image enhancement. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12438\u201312448 (2023)","DOI":"10.1109\/ICCV51070.2023.01143"},{"key":"25_CR43","unstructured":"Wei, C., Wang, W., Yang, W., Liu, J.: Deep retinex decomposition for low-light enhancement. arXiv preprint arXiv:1808.04560 (2018)"},{"key":"25_CR44","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: CBAM: convolutional block attention module. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"25_CR45","doi-asserted-by":"crossref","unstructured":"Wu, W., Weng, J., Zhang, P., Wang, X., Yang, W., Jiang, J.: URetinex-Net: retinex-based deep unfolding network for low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5901\u20135910 (2022)","DOI":"10.1109\/CVPR52688.2022.00581"},{"key":"25_CR46","doi-asserted-by":"crossref","unstructured":"Xu, F., et al.: Motion deblurring with real events. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2583\u20132592 (2021)","DOI":"10.1109\/ICCV48922.2021.00258"},{"key":"25_CR47","doi-asserted-by":"crossref","unstructured":"Xu, X., Wang, R., Fu, C.W., Jia, J.: SNR-aware low-light image enhancement. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 17714\u201317724 (2022)","DOI":"10.1109\/CVPR52688.2022.01719"},{"key":"25_CR48","doi-asserted-by":"crossref","unstructured":"Yang, S., Ding, M., Wu, Y., Li, Z., Zhang, J.: Implicit neural representation for cooperative low-light image enhancement. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12918\u201312927 (2023)","DOI":"10.1109\/ICCV51070.2023.01187"},{"key":"25_CR49","doi-asserted-by":"crossref","unstructured":"Yi, X., Xu, H., Zhang, H., Tang, L., Ma, J.: Diff-retinex: rethinking low-light image enhancement with a generative diffusion model. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12302\u201312311 (2023)","DOI":"10.1109\/ICCV51070.2023.01130"},{"key":"25_CR50","doi-asserted-by":"crossref","unstructured":"Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M.H.: Restormer: efficient transformer for high-resolution image restoration. In: CVPR (2022)","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"25_CR51","doi-asserted-by":"crossref","unstructured":"Zamir, S.W., et al.: Multi-stage progressive image restoration. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.01458"},{"key":"25_CR52","doi-asserted-by":"crossref","unstructured":"Zhang, H., Dai, Y., Li, H., Koniusz, P.: Deep stacked hierarchical multi-patch network for image deblurring. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5978\u20135986 (2019)","DOI":"10.1109\/CVPR.2019.00613"},{"key":"25_CR53","doi-asserted-by":"crossref","unstructured":"Zhang, X., Yu, L., Yang, W., Liu, J., Xia, G.S.: Generalizing event-based motion deblurring in real-world scenarios. In: ICCV (2023)","DOI":"10.1109\/ICCV51070.2023.00985"},{"key":"25_CR54","doi-asserted-by":"crossref","unstructured":"Zheng, N., Zhou, M., Dong, Y., Rui, X., Huang, J., Li, C., Zhao, F.: Empowering low-light image enhancer through customized learnable priors. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12559\u201312569 (2023)","DOI":"10.1109\/ICCV51070.2023.01154"},{"key":"25_CR55","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/978-3-030-58539-6_12","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Z Zhong","year":"2020","unstructured":"Zhong, Z., Gao, Y., Zheng, Y., Zheng, B.: Efficient spatio-temporal recurrent neural network for video deblurring. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12351, pp. 191\u2013207. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58539-6_12"},{"key":"25_CR56","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, Y., Sato, I.: Towards rolling shutter correction and deblurring in dynamic scenes. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9219\u20139228 (2021)","DOI":"10.1109\/CVPR46437.2021.00910"},{"key":"25_CR57","doi-asserted-by":"crossref","unstructured":"Zhou, J., Jampani, V., Pi, Z., Liu, Q., Yang, M.H.: Decoupled dynamic filter networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6647\u20136656 (2021)","DOI":"10.1109\/CVPR46437.2021.00658"},{"key":"25_CR58","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1007\/978-3-031-20068-7_33","volume-title":"ECCV 2022","author":"S Zhou","year":"2022","unstructured":"Zhou, S., Li, C., Loy, C.C.: LEDNet: joint low-light enhancement and deblurring in the dark. In: Avidan, S., Brostow, G., Ciss\u00e9, M., Farinella, G.M., Hassner, T. (eds.) ECCV 2022. LNCS, vol. 13666, pp. 573\u2013589. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-20068-7_33"},{"key":"25_CR59","doi-asserted-by":"crossref","unstructured":"Zhou, S., Zhang, J., Pan, J., Xie, H., Zuo, W., Ren, J.: Spatio-temporal filter adaptive network for video deblurring. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2482\u20132491 (2019)","DOI":"10.1109\/ICCV.2019.00257"},{"key":"25_CR60","doi-asserted-by":"crossref","unstructured":"Zhu, A.Z., Yuan, L., Chaney, K., Daniilidis, K.: Unsupervised event-based learning of optical flow, depth, and egomotion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00108"},{"key":"25_CR61","doi-asserted-by":"crossref","unstructured":"Zhu, X., Hu, H., Lin, S., Dai, J.: Deformable convnets v2: more deformable, better results. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9308\u20139316 (2019)","DOI":"10.1109\/CVPR.2019.00953"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73254-6_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T08:12:36Z","timestamp":1732695156000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73254-6_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,28]]},"ISBN":["9783031732539","9783031732546"],"references-count":61,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73254-6_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,28]]},"assertion":[{"value":"28 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2024.ecva.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}