{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:09:13Z","timestamp":1765343353193,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","funder":[{"name":"Innovation Capability Support Program of Shaanxi (Program No.2022TD-23) the Natural Science Foundation of China under Grant 62302369, Grant 62472336 and Grant 61991451"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3755161","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:37:21Z","timestamp":1761377841000},"page":"3722-3730","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring Global Correlations via Polarity Memory for Multispectral Demosaicing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4067-2519","authenticated-orcid":false,"given":"Mengzu","family":"Liu","sequence":"first","affiliation":[{"name":"Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9375-5426","authenticated-orcid":false,"given":"Junwei","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4378-8837","authenticated-orcid":false,"given":"Tao","family":"Huang","sequence":"additional","affiliation":[{"name":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2358-0293","authenticated-orcid":false,"given":"Fangfang","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Sciences and Technology, Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1410-1534","authenticated-orcid":false,"given":"Le","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2067-2763","authenticated-orcid":false,"given":"Xin","family":"Li","sequence":"additional","affiliation":[{"name":"State University of New York at Albany, Albany, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9632-985X","authenticated-orcid":false,"given":"Weisheng","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"19","volume-title":"Proceedings, Part VII 14","author":"Arad Boaz","year":"2016","unstructured":"Boaz Arad and Ohad Ben-Shahar. 2016. Sparse recovery of hyperspectral signal from natural RGB images. In Computer Vision-ECCV 2016: 14th European Conference, Amsterdam, the Netherlands, October 11-14, 2016, Proceedings, Part VII 14. Springer, 19-34."},{"key":"e_1_3_2_1_2_1","volume-title":"NTIRE 2022 spectral demosaicing challenge and data set. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 882-896","author":"Arad Boaz","year":"2022","unstructured":"Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yaqi Wu, Xun Wu, Zhihao Fan, Chenjie Xia, Feng Zhang, et al., 2022. NTIRE 2022 spectral demosaicing challenge and data set. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 882-896."},{"key":"e_1_3_2_1_3_1","volume-title":"Jamie Ryan Kiros, and Geoffrey E Hinton","author":"Ba Jimmy Lei","year":"2016","unstructured":"Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"V Backman Michael B Wallace LT Perelman JT Arendt R Gurjar MG M\u00fcller Q Zhang G Zonios E Kline T McGillican et al. 2000. Detection of preinvasive cancer cells. nature Vol. 406 6791 (2000) 35-36.","DOI":"10.1038\/35017638"},{"key":"e_1_3_2_1_5_1","volume-title":"Workshop Farbbildverarbeitung. Ilmenau, 5-6.","author":"Brauers Johannes","year":"2006","unstructured":"Johannes Brauers and Til Aach. 2006. A color filter array based multispectral camera. In 12. Workshop Farbbildverarbeitung. Ilmenau, 5-6."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Inchang Choi MH Kim D Gutierrez DS Jeon and G Nam. 2017. High-quality hyperspectral reconstruction using a spectral prior. Technical Report.","DOI":"10.1145\/3130800.3130810"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7350811"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2542360"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995478"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2021.3102052"},{"key":"e_1_3_2_1_11_1","volume-title":"Imaging spectrometry for earth remote sensing. science","author":"Goetz Alexander FH","year":"1985","unstructured":"Alexander FH Goetz, Gregg Vane, Jerry E Solomon, and Barrett N Rock. 1985. Imaging spectrometry for earth remote sensing. science, Vol. 228, 4704 (1985), 1147-1153."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/WHISPERS.2019.8921273"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3180560"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00764"},{"key":"e_1_3_2_1_15_1","volume-title":"International conference on machine learning. PMLR, 5156-5165","author":"Katharopoulos Angelos","year":"2020","unstructured":"Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, and Fran\u00e7ois Fleuret. 2020. Transformers are rnns: Fast autoregressive transformers with linear attention. In International conference on machine learning. PMLR, 5156-5165."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185534"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/s141121626"},{"key":"e_1_3_2_1_18_1","first-page":"1","article-title":"Object tracking in satellite videos with distractor-occlusion-aware correlation particle filters","volume":"62","author":"Li Yangfan","year":"2024","unstructured":"Yangfan Li, Nan Wang, Wei Li, Xiong Li, and Mengbin Rao. 2024. Object tracking in satellite videos with distractor-occlusion-aware correlation particle filters. IEEE Transactions on Geoscience and Remote Sensing, Vol. 62 (2024), 1-12.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00796"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3172865"},{"key":"e_1_3_2_1_22_1","volume-title":"Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983","author":"Loshchilov Ilya","year":"2016","unstructured":"Ilya Loshchilov and Frank Hutter. 2016. Sgdr: Stochastic gradient descent with warm restarts. arXiv preprint arXiv:1608.03983 (2016)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.19.1.010901"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2005.1561853"},{"key":"e_1_3_2_1_25_1","volume-title":"Understanding the effective receptive field in deep convolutional neural networks. Advances in neural information processing systems","author":"Luo Wenjie","year":"2016","unstructured":"Wenjie Luo, Yujia Li, Raquel Urtasun, and Richard Zemel. 2016. Understanding the effective receptive field in deep convolutional neural networks. Advances in neural information processing systems, Vol. 29 (2016)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"e_1_3_2_1_27_1","volume-title":"PolaFormer: Polarity-aware Linear Attention for Vision Transformers. arXiv preprint arXiv:2501.15061","author":"Meng Weikang","year":"2025","unstructured":"Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, and Zheng Zhang. 2025. PolaFormer: Polarity-aware Linear Attention for Vision Transformers. arXiv preprint arXiv:2501.15061 (2025)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1364\/OL.393213"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2017.2691553"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025129"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611782"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00932"},{"key":"e_1_3_2_1_33_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017)."},{"key":"e_1_3_2_1_34_1","volume-title":"Deep demosaicking for multispectral filter arrays. arXiv preprint arXiv:1808.08021","author":"Shinoda Kazuma","year":"2018","unstructured":"Kazuma Shinoda, Shoichiro Yoshiba, and Madoka Hasegawa. 2018. Deep demosaicking for multispectral filter arrays. arXiv preprint arXiv:1808.08021 (2018)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_13"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2018.2888989"},{"key":"e_1_3_2_1_37_1","volume-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. IEEE, 44-51","author":"Nguyen Hien Van","year":"2010","unstructured":"Hien Van Nguyen, Amit Banerjee, and Rama Chellappa. 2010. Tracking via object reflectance using a hyperspectral video camera. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. IEEE, 44-51."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00070"},{"key":"e_1_3_2_1_39_1","volume-title":"Image quality assessment: from error visibility to structural similarity","author":"Wang Zhou","year":"2004","unstructured":"Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli. 2004. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, Vol. 13, 4 (2004), 600-612."},{"key":"e_1_3_2_1_40_1","volume-title":"Memory networks. arXiv preprint arXiv:1410.3916","author":"Weston Jason","year":"2014","unstructured":"Jason Weston, Sumit Chopra, and Antoine Bordes. 2014. Memory networks. arXiv preprint arXiv:1410.3916 (2014)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2025.3536217"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2890212"},{"key":"e_1_3_2_1_43_1","volume-title":"A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising","author":"Xiong Zhangxi","year":"2024","unstructured":"Zhangxi Xiong, Wei Li, Hanzheng Wang, Baochang Zhang, and James E Fowler. 2024. A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. IEEE Transactions on Computational Imaging (2024)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01154"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2655112"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"e_1_3_2_1_47_1","volume-title":"Wavelength-Embedding-Guided Filter-Array Transformer for Spectral Demosaicing. In European Conference on Computer Vision. Springer, 196-213","author":"Zeng Haijin","year":"2024","unstructured":"Haijin Zeng, Hiep Luong, and Wilfried Philips. 2024. Wavelength-Embedding-Guided Filter-Array Transformer for Spectral Demosaicing. In European Conference on Computer Vision. Springer, 196-213."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00276"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3336471"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Dublin Ireland","acronym":"MM '25"},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3755161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:04:30Z","timestamp":1765343070000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3755161"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":49,"alternative-id":["10.1145\/3746027.3755161","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3755161","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}