{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T05:54:47Z","timestamp":1751608487992,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Key Research and Development Program","award":["(2018YFB2100500"],"award-info":[{"award-number":["(2018YFB2100500"]}]},{"name":"SHMEC","award":["2019-01-07-00-01-E00003"],"award-info":[{"award-number":["2019-01-07-00-01-E00003"]}]},{"name":"NSFC programs","award":["61976138, 61977047"],"award-info":[{"award-number":["61976138, 61977047"]}]},{"name":"STCSM","award":["2015F0203-000-06"],"award-info":[{"award-number":["2015F0203-000-06"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413734","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T13:12:00Z","timestamp":1602508320000},"page":"3651-3660","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Neural3D: Light-weight Neural Portrait Scanning via Context-aware Correspondence Learning"],"prefix":"10.1145","author":[{"given":"Xin","family":"Suo","sequence":"first","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minye","family":"Wu","sequence":"additional","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanshun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dgene, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingliang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dgene, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lan","family":"Xu","sequence":"additional","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Hu","sequence":"additional","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyi","family":"Yu","sequence":"additional","affiliation":[{"name":"ShanghaiTech University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Neural point-based graphics. arXiv preprint arXiv:1906.08240","author":"Aliev Kara-Ali","year":"2019","unstructured":"Kara-Ali Aliev , Dmitry Ulyanov , and Victor Lempitsky . 2019. Neural point-based graphics. arXiv preprint arXiv:1906.08240 ( 2019 ). Kara-Ali Aliev, Dmitry Ulyanov, and Victor Lempitsky. 2019. Neural point-based graphics. arXiv preprint arXiv:1906.08240 (2019)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2018.00022"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00875"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882311"},{"key":"e_1_3_2_2_5_1","unstructured":"artec3d [n.d.]. artec3d. https:\/\/www.artec3d.com\/. Accessed: 2020-05-24.  artec3d [n.d.]. artec3d. https:\/\/www.artec3d.com\/. Accessed: 2020-05-24."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01044"},{"key":"e_1_3_2_2_7_1","volume-title":"SURF: Speeded Up Robust Features. In Computer Vision -- ECCV","author":"Bay Herbert","year":"2006","unstructured":"Herbert Bay , Tinne Tuytelaars , and Luc Van Gool . 2006 . SURF: Speeded Up Robust Features. In Computer Vision -- ECCV 2006,, Alevs Leonardis, Horst Bischof , and Axel Pinz (Eds.). Springer Berlin Heidelberg , Berlin, Heidelberg, 404--417. Herbert Bay, Tinne Tuytelaars, and Luc Van Gool. 2006. SURF: Speeded Up Robust Features. In Computer Vision -- ECCV 2006,, Alevs Leonardis, Horst Bischof, and Axel Pinz (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 404--417."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00552"},{"key":"e_1_3_2_2_9_1","volume-title":"DSAC - Differentiable RANSAC for Camera Localization. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Brachmann Eric","year":"2017","unstructured":"Eric Brachmann , Alexander Krull , Sebastian Nowozin , Jamie Shotton , Frank Michel , Stefan Gumhold , and Carsten Rother . 2017 . DSAC - Differentiable RANSAC for Camera Localization. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother. 2017. DSAC - Differentiable RANSAC for Camera Localization. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_10_1","volume-title":"Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. arXiv preprint arXiv:1905.04132","author":"Brachmann Eric","year":"2019","unstructured":"Eric Brachmann and Carsten Rother . 2019. Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. arXiv preprint arXiv:1905.04132 ( 2019 ). Eric Brachmann and Carsten Rother. 2019. Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses. arXiv preprint arXiv:1905.04132 (2019)."},{"key":"e_1_3_2_2_11_1","volume-title":"BRIEF: Computing a local binary descriptor very fast","author":"Calonder Michael","year":"2011","unstructured":"Michael Calonder , Vincent Lepetit , Mustafa Ozuysal , Tomasz Trzcinski , Christoph Strecha , and Pascal Fua . 2011 . BRIEF: Computing a local binary descriptor very fast . IEEE transactions on pattern analysis and machine intelligence, Vol. 34 , 7 (2011), 1281--1298. Michael Calonder, Vincent Lepetit, Mustafa Ozuysal, Tomasz Trzcinski, Christoph Strecha, and Pascal Fua. 2011. BRIEF: Computing a local binary descriptor very fast. IEEE transactions on pattern analysis and machine intelligence, Vol. 34, 7 (2011), 1281--1298."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240600"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2003.1211340"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766945"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2037715.2037780"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237269"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.715"},{"key":"e_1_3_2_2_20_1","volume-title":"ARCH: Animatable Reconstruction of Clothed Humans. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Huang Zeng","year":"2020","unstructured":"Zeng Huang , Yuanlu Xu , Christoph Lassner , Hao Li , and Tony Tung . 2020 . ARCH: Animatable Reconstruction of Clothed Humans. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, and Tony Tung. 2020. ARCH: Animatable Reconstruction of Clothed Humans. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.381"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00868"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Angjoo Kanazawa Michael J. Black David W. Jacobs and Jitendra Malik. 2018. End-to-end Recovery of Human Shape and Pose. In Computer Vision and Pattern Regognition (CVPR).  Angjoo Kanazawa Michael J. Black David W. Jacobs and Jitendra Malik. 2018. End-to-end Recovery of Human Shape and Pose. In Computer Vision and Pattern Regognition (CVPR).","DOI":"10.1109\/CVPR.2018.00744"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00234"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2019.00076"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00263"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00282"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00461"},{"volume-title":"DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Newcombe Richard A.","key":"e_1_3_2_2_29_1","unstructured":"Richard A. Newcombe , Dieter Fox , and Steven M. Seitz . 2015 . DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Richard A. Newcombe, Dieter Fox, and Steven M. Seitz. 2015. DynamicFusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISMAR.2011.6092378"},{"key":"e_1_3_2_2_31_1","volume-title":"An efficient solution to the five-point relative pose problem","author":"Nist\u00e9r David","year":"2004","unstructured":"David Nist\u00e9r . 2004. An efficient solution to the five-point relative pose problem . IEEE transactions on pattern analysis and machine intelligence, Vol. 26 , 6 ( 2004 ), 0756--777. David Nist\u00e9r. 2004. An efficient solution to the five-point relative pose problem. IEEE transactions on pattern analysis and machine intelligence, Vol. 26, 6 (2004), 0756--777."},{"key":"e_1_3_2_2_32_1","unstructured":"PhotoScan [n.d.]. PhotoScan. http:\/\/www.agisoft.com\/. Accessed: 2020-05-23.  PhotoScan [n.d.]. PhotoScan. http:\/\/www.agisoft.com\/. Accessed: 2020-05-23."},{"key":"e_1_3_2_2_33_1","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660","author":"Qi Charles R","year":"2017","unstructured":"Charles R Qi , Hao Su , Kaichun Mo , and Leonidas J Guibas . 2017 a. Pointnet: Deep learning on point sets for 3d classification and segmentation . In Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660 . Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017a. Pointnet: Deep learning on point sets for 3d classification and segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition. 652--660."},{"key":"e_1_3_2_2_34_1","volume-title":"Pointnet: Deep hierarchical feature learning on point sets in a metric space. In Advances in neural information processing systems. 5099--5108.","author":"Qi Charles Ruizhongtai","year":"2017","unstructured":"Charles Ruizhongtai Qi , Li Yi , Hao Su , and Leonidas J Guibas . 2017 b. Pointnet: Deep hierarchical feature learning on point sets in a metric space. In Advances in neural information processing systems. 5099--5108. Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017b. Pointnet: Deep hierarchical feature learning on point sets in a metric space. In Advances in neural information processing systems. 5099--5108."},{"key":"e_1_3_2_2_35_1","volume-title":"USAC: a universal framework for random sample consensus","author":"Raguram Rahul","year":"2012","unstructured":"Rahul Raguram , Ondrej Chum , Marc Pollefeys , Jiri Matas , and Jan-Michael Frahm . 2012. USAC: a universal framework for random sample consensus . IEEE transactions on pattern analysis and machine intelligence, Vol. 35 , 8 ( 2012 ), 2022--2038. Rahul Raguram, Ondrej Chum, Marc Pollefeys, Jiri Matas, and Jan-Michael Frahm. 2012. USAC: a universal framework for random sample consensus. IEEE transactions on pattern analysis and machine intelligence, Vol. 35, 8 (2012), 2022--2038."},{"key":"e_1_3_2_2_36_1","volume-title":"PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. In The IEEE International Conference on Computer Vision (ICCV).","author":"Saito Shunsuke","year":"2019","unstructured":"Shunsuke Saito , Zeng Huang , Ryota Natsume , Shigeo Morishima , Angjoo Kanazawa , and Hao Li . 2019 . PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. In The IEEE International Conference on Computer Vision (ICCV). Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li. 2019. PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization. In The IEEE International Conference on Computer Vision (ICCV)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00016"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"volume-title":"Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc","author":"Sitzmann Vincent","key":"e_1_3_2_2_39_1","unstructured":"Vincent Sitzmann , Michael Zollhoefer , and Gordon Wetzstein . 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations . In Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc , E. Fox, and R. Garnett (Eds.). Curran Associates, Inc. , 1121--1132. Vincent Sitzmann, Michael Zollhoefer, and Gordon Wetzstein. 2019. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations. In Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc, E. Fox, and R. Garnett (Eds.). Curran Associates, Inc., 1121--1132."},{"key":"e_1_3_2_2_40_1","article-title":"Deferred Neural Rendering","volume":"38","author":"Thies Justus","year":"2019","unstructured":"Justus Thies , Michael Zollh\u00f6fer , and Matthias Nie\u00dfner . 2019 . Deferred Neural Rendering : Image Synthesis Using Neural Textures. ACM Trans. Graph. , Vol. 38 , 4, Article 66 (July 2019), bibinfonumpages12 pages. https:\/\/doi.org\/10.1145\/3306346.3323035 10.1145\/3306346.3323035 Justus Thies, Michael Zollh\u00f6fer, and Matthias Nie\u00dfner. 2019. Deferred Neural Rendering: Image Synthesis Using Neural Textures. ACM Trans. Graph., Vol. 38, 4, Article 66 (July 2019), bibinfonumpages12 pages. https:\/\/doi.org\/10.1145\/3306346.3323035","journal-title":"Image Synthesis Using Neural Textures. ACM Trans. Graph."},{"key":"e_1_3_2_2_41_1","volume-title":"IGNOR: Image-guided neural object rendering. arXiv preprint arXiv:1811.10720","author":"Thies Justus","year":"2018","unstructured":"Justus Thies , Michael Zollh\u00f6fer , Christian Theobalt , Marc Stamminger , and Matthias Nie\u00dfner . 2018 . IGNOR: Image-guided neural object rendering. arXiv preprint arXiv:1811.10720 (2018). Justus Thies, Michael Zollh\u00f6fer, Christian Theobalt, Marc Stamminger, and Matthias Nie\u00dfner. 2018. IGNOR: Image-guided neural object rendering. arXiv preprint arXiv:1811.10720 (2018)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2812802"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.56"},{"key":"e_1_3_2_2_44_1","unstructured":"Treedy's [n.d.]. Treedy's. https:\/\/www.treedys.com\/. Accessed: 2019-07-25.  Treedy's [n.d.]. Treedy's. https:\/\/www.treedys.com\/. Accessed: 2019-07-25."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2740624"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.458"},{"key":"e_1_3_2_2_47_1","volume-title":"2019 a. FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera","author":"Xu Lan","year":"2019","unstructured":"Lan Xu , Wei Cheng , Kaiwen Guo , Lei Han , Yebin Liu , and Lu Fang . 2019 a. FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera . IEEE Transactions on Visualization and Computer Graphics ( 2019 ), 1--1. Lan Xu, Wei Cheng, Kaiwen Guo, Lei Han, Yebin Liu, and Lu Fang. 2019 a. FlyFusion: Realtime Dynamic Scene Reconstruction Using a Flying Depth Camera. IEEE Transactions on Visualization and Computer Graphics (2019), 1--1."},{"key":"e_1_3_2_2_48_1","volume-title":"FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras","author":"Xu Lan","year":"2017","unstructured":"Lan Xu , Yebin Liu , Wei Cheng , Kaiwen Guo , Guyue Zhou , Qionghai Dai , and Lu Fang . 2017. FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras . IEEE Transactions on Visualization and Computer Graphics , Vol. PP, 99 ( 2017 ), 1--1. https:\/\/doi.org\/10.1109\/TVCG.2017.2728660 10.1109\/TVCG.2017.2728660 Lan Xu, Yebin Liu, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, and Lu Fang. 2017. FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras. IEEE Transactions on Visualization and Computer Graphics, Vol. PP, 99 (2017), 1--1. https:\/\/doi.org\/10.1109\/TVCG.2017.2728660"},{"key":"e_1_3_2_2_49_1","volume-title":"2019 b. UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction using CommercialRGBD Cameras","author":"Xu Lan","year":"2019","unstructured":"Lan Xu , Zhuo Su , Lei Han , Tao Yu , Yebin Liu , and Lu Fang . 2019 b. UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction using CommercialRGBD Cameras . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2019 ), 1--1. Lan Xu, Zhuo Su, Lei Han, Tao Yu, Yebin Liu, and Lu Fang. 2019 b. UnstructuredFusion: Realtime 4D Geometry and Texture Reconstruction using CommercialRGBD Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019), 1--1."},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00785"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46466-4_28"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00761"},{"key":"e_1_3_2_2_54_1","volume-title":"Learning Two-View Correspondences and Geometry Using Order-Aware Network. arXiv preprint arXiv:1908.04964","author":"Zhang Jiahui","year":"2019","unstructured":"Jiahui Zhang , Dawei Sun , Zixin Luo , Anbang Yao , Lei Zhou , Tianwei Shen , Yurong Chen , Long Quan , and Hongen Liao . 2019. Learning Two-View Correspondences and Geometry Using Order-Aware Network. arXiv preprint arXiv:1908.04964 ( 2019 ). Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, and Hongen Liao. 2019. Learning Two-View Correspondences and Geometry Using Order-Aware Network. arXiv preprint arXiv:1908.04964 (2019)."}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Seattle WA USA","acronym":"MM '20"},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413734","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413734","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:16Z","timestamp":1750197676000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413734"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":54,"alternative-id":["10.1145\/3394171.3413734","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413734","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}