{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T23:00:08Z","timestamp":1772319608103,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The Hong Kong Polytechnic University under Project of Strategic Importance","award":["1-ZE2Q"],"award-info":[{"award-number":["1-ZE2Q"]}]},{"name":"The National Natural Science Foundation of China","award":["61902275"],"award-info":[{"award-number":["61902275"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547998","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"5427-5435","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Phase-based Memory Network for Video Dehazing"],"prefix":"10.1145","author":[{"given":"Ye","family":"Liu","sequence":"first","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"given":"Liang","family":"Wan","sequence":"additional","affiliation":[{"name":"Tianjin University, Tianjin, China"}]},{"given":"Huazhu","family":"Fu","sequence":"additional","affiliation":[{"name":"Institute of High Performance Computing, Singapore, Singapore"}]},{"given":"Jing","family":"Qin","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, China"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou) &amp; The Hong Kong University of Science and Technology, Guangzhou &amp; Hong Kong, China"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2016.2598681"},{"key":"e_1_3_2_2_2_1","volume-title":"Robust image and video dehazing with visual artifact suppression via gradient residual minimization","author":"Chen Chen","unstructured":"Chen Chen , Minh N Do , and Jue Wang . 2016. Robust image and video dehazing with visual artifact suppression via gradient residual minimization . In ECCV. Springer , 576--591. Chen Chen, Minh N Do, and Jue Wang. 2016. Robust image and video dehazing with visual artifact suppression via gradient residual minimization. In ECCV. Springer, 576--591."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Zijun Deng Lei Zhu Xiaowei Hu Chi-Wing Fu Xuemiao Xu Qing Zhang Jing Qin and Pheng-Ann Heng. 2019. Deep multi-model fusion for single-image dehazing. In ICCV. 2453--2462. Zijun Deng Lei Zhu Xiaowei Hu Chi-Wing Fu Xuemiao Xu Qing Zhang Jing Qin and Pheng-Ann Heng. 2019. Deep multi-model fusion for single-image dehazing. In ICCV. 2453--2462.","DOI":"10.1109\/ICCV.2019.00254"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Hang Dong Jinshan Pan Lei Xiang Zhe Hu Xinyi Zhang Fei Wang and Ming- Hsuan Yang. 2020. Multi-scale boosted dehazing network with dense feature fusion. In CVPR. 2157--2167. Hang Dong Jinshan Pan Lei Xiang Zhe Hu Xinyi Zhang Fei Wang and Ming- Hsuan Yang. 2020. Multi-scale boosted dehazing network with dense feature fusion. In CVPR. 2157--2167.","DOI":"10.1109\/CVPR42600.2020.00223"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Jiangxin Dong and Jinshan Pan. 2020. Physics-Based Feature Dehazing Networks. In ECCV. 188--204. Jiangxin Dong and Jinshan Pan. 2020. Physics-Based Feature Dehazing Networks. In ECCV. 188--204.","DOI":"10.1007\/978-3-030-58577-8_12"},{"key":"e_1_3_2_2_6_1","volume-title":"Building dual-domain representations for compression artifacts reduction","author":"Guo Jun","unstructured":"Jun Guo and Hongyang Chao . 2016. Building dual-domain representations for compression artifacts reduction . In ECCV. Springer , 628--644. Jun Guo and Hongyang Chao. 2016. Building dual-domain representations for compression artifacts reduction. In ECCV. Springer, 628--644."},{"key":"e_1_3_2_2_7_1","volume-title":"Tiep Huu Vu, and Vishal Monga.","author":"Guo Tiantong","year":"2017","unstructured":"Tiantong Guo , Hojjat Seyed Mousavi , Tiep Huu Vu, and Vishal Monga. 2017 . Deep wavelet prediction for image super-resolution. In CVPR. 104--113. Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, and Vishal Monga. 2017. Deep wavelet prediction for image super-resolution. In CVPR. 104--113."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.168"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Ming Hong Yuan Xie Cuihua Li and Yanyun Qu. 2020. Distilling image dehazing with heterogeneous task imitation. In CVPR. 3462--3471. Ming Hong Yuan Xie Cuihua Li and Yanyun Qu. 2020. Distilling image dehazing with heterogeneous task imitation. In CVPR. 3462--3471.","DOI":"10.1109\/CVPR42600.2020.00352"},{"key":"e_1_3_2_2_10_1","volume-title":"Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution. In ICCV. 1689--1697.","author":"Huang Huaibo","year":"2017","unstructured":"Huaibo Huang , Ran He , Zhenan Sun , and Tieniu Tan . 2017 . Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution. In ICCV. 1689--1697. Huaibo Huang, Ran He, Zhenan Sun, and Tieniu Tan. 2017. Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution. In ICCV. 1689--1697."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1006\/jvci.1993.1030"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.103"},{"key":"e_1_3_2_2_13_1","first-page":"6","article-title":"Video dehazing with spatial and temporal coherence","volume":"27","year":"2011","unstructured":"Jiawan, Zhang, Liang, Li, Yi, Zhang, Guoqiang, Yang, Xiaochun, and CaoJizhou. 2011 . Video dehazing with spatial and temporal coherence . Visual Computer 27 , 6 -- 8 (2011), 749--757. Jiawan, Zhang, Liang, Li, Yi, Zhang, Guoqiang, Yang, Xiaochun, and CaoJizhou. 2011. Video dehazing with spatial and temporal coherence. Visual Computer 27, 6--8 (2011), 749--757.","journal-title":"Visual Computer"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2013.02.004"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.03.014"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3016134"},{"key":"e_1_3_2_2_17_1","unstructured":"Boyi Li Xiulian Peng Zhangyang Wang Jizheng Xu and Dan Feng. 2017. AODNet: An all-in-one network for dehazing and beyond. In ICCV. Boyi Li Xiulian Peng Zhangyang Wang Jizheng Xu and Dan Feng. 2017. AODNet: An all-in-one network for dehazing and beyond. In ICCV."},{"key":"e_1_3_2_2_18_1","volume-title":"AAAI","volume":"32","author":"Li Boyi","year":"2018","unstructured":"Boyi Li , Xiulian Peng , Zhangyang Wang , Jizheng Xu , and Dan Feng . 2018 . Endto- end united video dehazing and detection . In AAAI , Vol. 32 . Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng. 2018. Endto- end united video dehazing and detection. In AAAI, Vol. 32."},{"key":"e_1_3_2_2_19_1","volume-title":"KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. arXiv preprint arXiv:2109.13410","author":"Liao Yiyi","year":"2021","unstructured":"Yiyi Liao , Jun Xie , and Andreas Geiger . 2021. KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. arXiv preprint arXiv:2109.13410 ( 2021 ). Yiyi Liao, Jun Xie, and Andreas Geiger. 2021. KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D. arXiv preprint arXiv:2109.13410 (2021)."},{"key":"e_1_3_2_2_20_1","unstructured":"Pengju Liu Hongzhi Zhang Kai Zhang Liang Lin and Wangmeng Zuo. 2018. Multi-level wavelet-CNN for image restoration. In CVPRW. 773--782. Pengju Liu Hongzhi Zhang Kai Zhang Liang Lin and Wangmeng Zuo. 2018. Multi-level wavelet-CNN for image restoration. In CVPRW. 773--782."},{"key":"e_1_3_2_2_21_1","unstructured":"Wei Liu Andrew Rabinovich and Alexander C Berg. 2016. ParseNet: Looking wider to see better. In ICLR. Wei Liu Andrew Rabinovich and Alexander C Berg. 2016. ParseNet: Looking wider to see better. In ICLR."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3033402"},{"key":"e_1_3_2_2_23_1","volume-title":"Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7313--7322.","author":"Liu Xiaohong","year":"2019","unstructured":"Xiaohong Liu , Yongrui Ma , Zhihao Shi , and Jun Chen . 2019 . Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7313--7322. Xiaohong Liu, Yongrui Ma, Zhihao Shi, and Jun Chen. 2019. Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7313--7322."},{"key":"e_1_3_2_2_24_1","volume-title":"Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7314--7323.","author":"Liu Xiaohong","year":"2019","unstructured":"Xiaohong Liu , Yongrui Ma , Zhihao Shi , and Jun Chen . 2019 . Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7314--7323. Xiaohong Liu, Yongrui Ma, Zhihao Shi, and Jun Chen. 2019. Griddehazenet: Attention-based multi-scale network for image dehazing. In ICCV. 7314--7323."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Xing Liu Masanori Suganuma Zhun Sun and Takayuki Okatani. 2019. Dual residual networks leveraging the potential of paired operations for image restoration. In CVPR. 7007--7016. Xing Liu Masanori Suganuma Zhun Sun and Takayuki Okatani. 2019. Dual residual networks leveraging the potential of paired operations for image restoration. In CVPR. 7007--7016.","DOI":"10.1109\/CVPR.2019.00717"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Ye Liu Lei Zhu Shunda Pei Huazhu Fu Jing Qin Qing Zhang Liang Wan and Wei Feng. 2021. From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. In ACM MM. 50--58. Ye Liu Lei Zhu Shunda Pei Huazhu Fu Jing Qin Qing Zhang Liang Wan and Wei Feng. 2021. From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data. In ACM MM. 50--58.","DOI":"10.1145\/3474085.3475331"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Simone Meyer Oliver Wang Henning Zimmer Max Grosse and Alexander Sorkine-Hornung. 2015. Phase-based frame interpolation for video. In CVPR. 1410--1418. Simone Meyer Oliver Wang Henning Zimmer Max Grosse and Alexander Sorkine-Hornung. 2015. Phase-based frame interpolation for video. In CVPR. 1410--1418.","DOI":"10.1109\/CVPR.2015.7298747"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Shree K Nayar and Srinivasa G Narasimhan. 1999. Vision in bad weather. In ICCV. 820--827. Shree K Nayar and Srinivasa G Narasimhan. 1999. Vision in bad weather. In ICCV. 820--827.","DOI":"10.1109\/ICCV.1999.790306"},{"key":"e_1_3_2_2_29_1","unstructured":"SeoungWug Oh Joon-Young Lee Ning Xu and Seon Joo Kim. 2019. Video Object Segmentation Using Space-Time Memory Networks. In ICCV. SeoungWug Oh Joon-Young Lee Ning Xu and Seon Joo Kim. 2019. Video Object Segmentation Using Space-Time Memory Networks. In ICCV."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Xu Qin Zhilin Wang Yuanchao Bai Xiaodong Xie and Huizhu Jia. 2020. FFANet: Feature Fusion Attention Network for Single Image Dehazing. In AAAI. 11908--11915. Xu Qin Zhilin Wang Yuanchao Bai Xiaodong Xie and Huizhu Jia. 2020. FFANet: Feature Fusion Attention Network for Single Image Dehazing. In AAAI. 11908--11915.","DOI":"10.1609\/aaai.v34i07.6865"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Wenqi Ren Si Liu Hua Zhang Jinshan Pan Xiaochun Cao and Ming-Hsuan Yang. 2016. Single image dehazing via multi-scale convolutional neural networks. In ECCV. 154--169. Wenqi Ren Si Liu Hua Zhang Jinshan Pan Xiaochun Cao and Ming-Hsuan Yang. 2016. Single image dehazing via multi-scale convolutional neural networks. In ECCV. 154--169.","DOI":"10.1007\/978-3-319-46475-6_10"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Wenqi Ren Lin Ma Jiawei Zhang Jinshan Pan Xiaochun Cao Wei Liu and Ming-Hsuan Yang. 2018. Gated fusion network for single image dehazing. In CVPR. 3253--3261. Wenqi Ren Lin Ma Jiawei Zhang Jinshan Pan Xiaochun Cao Wei Liu and Ming-Hsuan Yang. 2018. Gated fusion network for single image dehazing. In CVPR. 3253--3261.","DOI":"10.1109\/CVPR.2018.00343"},{"key":"e_1_3_2_2_33_1","first-page":"1895","article-title":"Deep video dehazing with semantic segmentation","volume":"28","author":"Ren Wenqi","year":"2018","unstructured":"Wenqi Ren , Jingang Zhang , Xiangyu Xu , Lin Ma , Xiaochun Cao , Gaofeng Meng , and Wei Liu . 2018 . Deep video dehazing with semantic segmentation . TIP 28 , 4 (2018), 1895 -- 1908 . Wenqi Ren, Jingang Zhang, Xiangyu Xu, Lin Ma, Xiaochun Cao, Gaofeng Meng, and Wei Liu. 2018. Deep video dehazing with semantic segmentation. TIP 28, 4 (2018), 1895--1908.","journal-title":"TIP"},{"key":"e_1_3_2_2_34_1","volume-title":"Semantic Foggy Scene Understanding with Synthetic Data. IJCV","author":"Sakaridis Christos","year":"2017","unstructured":"Christos Sakaridis , Dengxin Dai , and Luc Van Gool . 2017. Semantic Foggy Scene Understanding with Synthetic Data. IJCV ( 2017 ). Christos Sakaridis, Dengxin Dai, and Luc Van Gool. 2017. Semantic Foggy Scene Understanding with Synthetic Data. IJCV (2017)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0759-8"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"crossref","unstructured":"Yuanjie Shao Lerenhan Li Wenqi Ren Changxin Gao and Nong Sang. 2020. Domain Adaptation for Image Dehazing. In CVPR. 2805--2814. Yuanjie Shao Lerenhan Li Wenqi Ren Changxin Gao and Nong Sang. 2020. Domain Adaptation for Image Dehazing. In CVPR. 2805--2814.","DOI":"10.1109\/CVPR42600.2020.00288"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2771472"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2461966"},{"key":"e_1_3_2_2_39_1","volume-title":"Ke Yu, Chao Dong, and Chen Change Loy.","author":"Wang Xintao","year":"2019","unstructured":"Xintao Wang , Kelvin CK Chan , Ke Yu, Chao Dong, and Chen Change Loy. 2019 . Edvr : Video restoration with enhanced deformable convolutional networks. In CVPR. 0--0. Xintao Wang, Kelvin CK Chan, Ke Yu, Chao Dong, and Chen Change Loy. 2019. Edvr: Video restoration with enhanced deformable convolutional networks. In CVPR. 0--0."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_41_1","volume-title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. arXiv preprint arXiv:2105.15203","author":"Xie Enze","year":"2021","unstructured":"Enze Xie , Wenhai Wang , Zhiding Yu , Anima Anandkumar , Jose M Alvarez , and Ping Luo . 2021. SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. arXiv preprint arXiv:2105.15203 ( 2021 ). Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo. 2021. SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers. arXiv preprint arXiv:2105.15203 (2021)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Dong Yang and Jian Sun. 2018. Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing. In ECCV. 729--746. Dong Yang and Jian Sun. 2018. Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing. In ECCV. 729--746.","DOI":"10.1007\/978-3-030-01234-2_43"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Feng Yu Chunmei Qing Xiangmin Xu and Bolun Cai. 2016. Image and video dehazing using view-based cluster segmentation. In 2016 Visual Communications and Image Processing (VCIP). 1--4. Feng Yu Chunmei Qing Xiangmin Xu and Bolun Cai. 2016. Image and video dehazing using view-based cluster segmentation. In 2016 Visual Communications and Image Processing (VCIP). 1--4.","DOI":"10.1109\/VCIP.2016.7805512"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"He Zhang and Vishal M Patel. 2018. Densely connected pyramid dehazing network. In CVPR. 3194--3203. He Zhang and Vishal M Patel. 2018. Densely connected pyramid dehazing network. In CVPR. 3194--3203.","DOI":"10.1109\/CVPR.2018.00337"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","unstructured":"Xinyi Zhang Hang Dong Jinshan Pan Chao Zhu Ying Tai Chengjie Wang Jilin Li Feiyue Huang and Fei Wang. 2021. Learning to restore hazy video: A new real-world dataset and a new method. In CVPR. 9239--9248. Xinyi Zhang Hang Dong Jinshan Pan Chao Zhu Ying Tai Chengjie Wang Jilin Li Feiyue Huang and Fei Wang. 2021. Learning to restore hazy video: A new real-world dataset and a new method. In CVPR. 9239--9248.","DOI":"10.1109\/CVPR46437.2021.00912"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Yulun Zhang Kunpeng Li Kai Li LichenWang Bineng Zhong and Yun Fu. 2018. Image super-resolution using very deep residual channel attention networks. In ECCV. 294--310. Yulun Zhang Kunpeng Li Kai Li LichenWang Bineng Zhong and Yun Fu. 2018. Image super-resolution using very deep residual channel attention networks. In ECCV. 294--310.","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"e_1_3_2_2_47_1","volume-title":"Joint sub-bands learning with clique structures for wavelet domain superresolution. Advances in neural information processing systems 31","author":"Zhong Zhisheng","year":"2018","unstructured":"Zhisheng Zhong , Tiancheng Shen , Yibo Yang , Zhouchen Lin , and Chao Zhang . 2018. Joint sub-bands learning with clique structures for wavelet domain superresolution. Advances in neural information processing systems 31 ( 2018 ). Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, and Chao Zhang. 2018. Joint sub-bands learning with clique structures for wavelet domain superresolution. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3022707"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Lei Zhu Chi-Wing Fu Dani Lischinski and Pheng-Ann Heng. 2017. Joint bi-layer optimization for single-image rain streak removal. In ICCV. 2526--2534. Lei Zhu Chi-Wing Fu Dani Lischinski and Pheng-Ann Heng. 2017. Joint bi-layer optimization for single-image rain streak removal. In ICCV. 2526--2534.","DOI":"10.1109\/ICCV.2017.276"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547998","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:29Z","timestamp":1750186949000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547998"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":49,"alternative-id":["10.1145\/3503161.3547998","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547998","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}