{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T16:14:38Z","timestamp":1781799278259,"version":"3.54.5"},"publisher-location":"Cham","reference-count":46,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030585570","type":"print"},{"value":"9783030585587","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":[[2020]]},"DOI":"10.1007\/978-3-030-58558-7_5","type":"book-chapter","created":{"date-parts":[[2020,10,28]],"date-time":"2020-10-28T09:03:08Z","timestamp":1603875788000},"page":"71-87","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":73,"title":["Contact and Human Dynamics from Monocular Video"],"prefix":"10.1007","author":[{"given":"Davis","family":"Rempe","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonidas J.","family":"Guibas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron","family":"Hertzmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bryan","family":"Russell","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruben","family":"Villegas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,10,29]]},"reference":[{"key":"5_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1007\/978-3-319-46454-1_34","volume-title":"Computer Vision \u2013 ECCV 2016","author":"F Bogo","year":"2016","unstructured":"Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep It SMPL: automatic estimation of 3D human pose and shape from a single image. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 561\u2013578. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46454-1_34"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Brubaker, M.A., Sigal, L., Fleet, D.J.: Estimating contact dynamics. In: The IEEE International Conference on Computer Vision (ICCV), pp. 2389\u20132396. IEEE (2009)","DOI":"10.1109\/ICCV.2009.5459407"},{"issue":"1","key":"5_CR3","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1007\/s11263-009-0274-5","volume":"87","author":"MA Brubaker","year":"2010","unstructured":"Brubaker, M.A., Fleet, D.J., Hertzmann, A.: Physics-based person tracking using the anthropomorphic walker. Int. J. Comput. Vis. 87(1), 140\u2013155 (2010). https:\/\/doi.org\/10.1007\/s11263-009-0274-5","journal-title":"Int. J. Comput. Vis."},{"key":"5_CR4","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: OpenPose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell., 1 (2019). IEEE"},{"issue":"6","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1441","DOI":"10.1109\/TRO.2018.2862902","volume":"34","author":"J Carpentier","year":"2018","unstructured":"Carpentier, J., Mansard, N.: Multicontact locomotion of legged robots. IEEE Trans. Rob. 34(6), 1441\u20131460 (2018)","journal-title":"IEEE Trans. Rob."},{"key":"5_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Y., Huang, S., Yuan, T., Qi, S., Zhu, Y., Zhu, S.C.: Holistic++ scene understanding: single-view 3D holistic scene parsing and human pose estimation with human-object interaction and physical commonsense. In: The IEEE International Conference on Computer Vision (ICCV). pp. 8648\u20138657. IEEE (2019)","DOI":"10.1109\/ICCV.2019.00874"},{"key":"5_CR7","doi-asserted-by":"crossref","unstructured":"Dai, H., Valenzuela, A., Tedrake, R.: Whole-body motion planning with centroidal dynamics and full kinematics. In: IEEE-RAS International Conference on Humanoid Robots, pp. 295\u2013302. IEEE (2014)","DOI":"10.1109\/HUMANOIDS.2014.7041375"},{"issue":"3","key":"5_CR8","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1145\/882262.882286","volume":"22","author":"AC Fang","year":"2003","unstructured":"Fang, A.C., Pollard, N.S.: Efficient synthesis of physically valid human motion. ACM Trans. Graph. 22(3), 417\u2013426 (2003)","journal-title":"ACM Trans. Graph."},{"issue":"2\u20133","key":"5_CR9","first-page":"77","volume":"1","author":"DA Forsyth","year":"2006","unstructured":"Forsyth, D.A., Arikan, O., Ikemoto, L., O\u2019Brien, J., Ramanan, D.: Computational studies of human motion: part 1, tracking and motion synthesis. Found. Trends. Comput. Graph. Vis. 1(2\u20133), 77\u2013254 (2006)","journal-title":"Found. Trends. Comput. Graph. Vis."},{"key":"5_CR10","doi-asserted-by":"crossref","unstructured":"Gleicher, M.: Retargetting motion to new characters. In: Proceedings of the 25th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1998, pp. 33\u201342. ACM, New York, NY, USA (1998)","DOI":"10.1145\/280814.280820"},{"key":"5_CR11","doi-asserted-by":"crossref","unstructured":"Hassan, M., Choutas, V., Tzionas, D., Black, M.J.: Resolving 3D human pose ambiguities with 3D scene constraints. In: The IEEE International Conference on Computer Vision (ICCV), pp. 2282\u20132292. IEEE (October 2019)","DOI":"10.1109\/ICCV.2019.00237"},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Dollar, P., Girshick, R.: Mask R-CNN. In: The IEEE International Conference on Computer Vision (ICCV), pp. 2961\u20132969. IEEE (October 2017)","DOI":"10.1109\/ICCV.2017.322"},{"issue":"4","key":"5_CR13","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1242\/jeb.008573","volume":"211","author":"H Herr","year":"2008","unstructured":"Herr, H., Popovic, M.: Angular momentum in human walking. J. Exp. Biol. 211(4), 467\u2013481 (2008)","journal-title":"J. Exp. Biol."},{"issue":"4","key":"5_CR14","doi-asserted-by":"publisher","first-page":"90:1","DOI":"10.1145\/2185520.2185586","volume":"31","author":"L Hoyet","year":"2012","unstructured":"Hoyet, L., McDonnell, R., O\u2019Sullivan, C.: Push it real: perceiving causality in virtual interactions. ACM Trans. Graph. 31(4), 90:1\u201390:9 (2012)","journal-title":"ACM Trans. Graph."},{"key":"5_CR15","doi-asserted-by":"crossref","unstructured":"Ikemoto, L., Arikan, O., Forsyth, D.: Knowing when to put your foot down. In: Proceedings of the 2006 Symposium on Interactive 3D Graphics and Games, I3D 2006, pp. 49\u201353. ACM, New York (2006)","DOI":"10.1145\/1111411.1111420"},{"issue":"4","key":"5_CR16","doi-asserted-by":"publisher","first-page":"72:1","DOI":"10.1145\/3306346.3322966","volume":"38","author":"Y Jiang","year":"2019","unstructured":"Jiang, Y., Van Wouwe, T., De Groote, F., Liu, C.K.: Synthesis of biologically realistic human motion using joint torque actuation. ACM Trans. Graph. 38(4), 72:1\u201372:12 (2019)","journal-title":"ACM Trans. Graph."},{"key":"5_CR17","doi-asserted-by":"crossref","unstructured":"Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7122\u20137131. IEEE (June 2018)","DOI":"10.1109\/CVPR.2018.00744"},{"key":"5_CR18","doi-asserted-by":"crossref","unstructured":"Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3D human dynamics from video. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5614\u20135623. IEEE (June 2019)","DOI":"10.1109\/CVPR.2019.00576"},{"issue":"2","key":"5_CR19","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1080\/02640414.2010.534807","volume":"29","author":"K Kulig","year":"2011","unstructured":"Kulig, K., Fietzer, A.L., Popovich Jr., J.M.: Ground reaction forces and knee mechanics in the weight acceptance phase of a dance leap take-off and landing. J. Sports Sci. 29(2), 125\u2013131 (2011)","journal-title":"J. Sports Sci."},{"key":"5_CR20","doi-asserted-by":"crossref","unstructured":"de Lasa, M., Mordatch, I., Hertzmann, A.: Feature-based locomotion controllers. In: ACM SIGGRAPH 2010 Papers, SIGGRAPH 2010, pp. 131:1\u2013131:10. ACM, New York (2010)","DOI":"10.1145\/1833349.1781157"},{"key":"5_CR21","unstructured":"Le Callennec, B., Boulic, R.: Robust kinematic constraint detection for motion data. In: ACM SIGGRAPH\/Eurographics Symposium on Computer Animation, SCA 2006, pp. 281\u2013290. Eurographics Association, Aire-la-Ville (2006)"},{"issue":"9","key":"5_CR22","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1016\/0021-9290(95)00178-6","volume":"29","author":"P de Leva","year":"1996","unstructured":"de Leva, P.: Adjustments to Zatsiorsky-Seluyanov\u2019s segment inertia parameters. J. Biomech. 29(9), 1223\u20131230 (1996)","journal-title":"J. Biomech."},{"key":"5_CR23","doi-asserted-by":"crossref","unstructured":"Li, Z., Sedlar, J., Carpentier, J., Laptev, I., Mansard, N., Sivic, J.: Estimating 3D motion and forces of person-object interactions from monocular video. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8640\u20138649. IEEE (June 2019)","DOI":"10.1109\/CVPR.2019.00884"},{"issue":"3","key":"5_CR24","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1145\/1073204.1073314","volume":"24","author":"CK Liu","year":"2005","unstructured":"Liu, C.K., Hertzmann, A., Popovi\u0107, Z.: Learning physics-based motion style with nonlinear inverse optimization. ACM Trans. Graph. 24(3), 1071\u20131081 (2005)","journal-title":"ACM Trans. Graph."},{"key":"5_CR25","doi-asserted-by":"crossref","unstructured":"Macchietto, A., Zordan, V., Shelton, C.R.: Momentum control for balance. In: ACM SIGGRAPH 2009 Papers, SIGGRAPH 2009, pp. 80:1\u201380:8. ACM, New York (2009)","DOI":"10.1145\/1576246.1531386"},{"issue":"4","key":"5_CR26","doi-asserted-by":"publisher","first-page":"44:1","DOI":"10.1145\/3072959.3073596","volume":"36","author":"D Mehta","year":"2017","unstructured":"Mehta, D., et al.: VNect: real-time 3D human pose estimation with a single RGB camera. ACM Trans. Graph. 36(4), 44:1\u201344:14 (2017)","journal-title":"ACM Trans. Graph."},{"key":"5_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1007\/978-3-319-46484-8_29","volume-title":"Computer Vision \u2013 ECCV 2016","author":"A Newell","year":"2016","unstructured":"Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 483\u2013499. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_29"},{"issue":"2\u20133","key":"5_CR28","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/s10514-013-9341-4","volume":"35","author":"DE Orin","year":"2013","unstructured":"Orin, D.E., Goswami, A., Lee, S.H.: Centroidal dynamics of a humanoid robot. Auton. Robots 35(2\u20133), 161\u2013176 (2013). https:\/\/doi.org\/10.1007\/s10514-013-9341-4","journal-title":"Auton. Robots"},{"key":"5_CR29","unstructured":"Paszke, A., et al.: Pytorch: an imperative style, high-performance deep learning library. In: Wallach, H., et al. (eds.) Advances in Neural Information Processing Systems, vol. 32. pp. 8026\u20138037. Curran Associates, Inc. (2019)"},{"key":"5_CR30","doi-asserted-by":"crossref","unstructured":"Pavlakos, G., et al.: Expressive body capture: 3D hands, face, and body from a single image. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10975\u201310985. IEEE (June 2019)","DOI":"10.1109\/CVPR.2019.01123"},{"key":"5_CR31","doi-asserted-by":"crossref","unstructured":"Pavllo, D., Feichtenhofer, C., Grangier, D., Auli, M.: 3D human pose estimation in video with temporal convolutions and semi-supervised training. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7753\u20137762. IEEE (June 2019)","DOI":"10.1109\/CVPR.2019.00794"},{"issue":"6","key":"5_CR32","first-page":"178:1","volume":"37","author":"XB Peng","year":"2018","unstructured":"Peng, X.B., Kanazawa, A., Malik, J., Abbeel, P., Levine, S.: SFV: reinforcement learning of physical skills from videos. ACM Trans. Graph. 37(6), 178:1\u2013178:14 (2018)","journal-title":"ACM Trans. Graph."},{"key":"5_CR33","doi-asserted-by":"crossref","unstructured":"Popovi\u0107, Z., Witkin, A.: Physically based motion transformation. In: Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 1999, pp. 11\u201320. ACM Press\/Addison-Wesley Publishing Co., New York (1999)","DOI":"10.1145\/311535.311536"},{"issue":"3","key":"5_CR34","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1145\/882262.882304","volume":"22","author":"PSA Reitsma","year":"2003","unstructured":"Reitsma, P.S.A., Pollard, N.S.: Perceptual metrics for character animation: sensitivity to errors in ballistic motion. ACM Trans. Graph. 22(3), 537\u2013542 (2003)","journal-title":"ACM Trans. Graph."},{"key":"5_CR35","volume-title":"Research Methods in Biomechanics","author":"DGE Robertson","year":"2004","unstructured":"Robertson, D.G.E., Caldwell, G.E., Hamill, J., Kamen, G., Whittlesey, S.N.: Research Methods in Biomechanics. Human Kinetics, Champaign (2004)"},{"key":"5_CR36","doi-asserted-by":"crossref","unstructured":"Safonova, A., Hodgins, J.K., Pollard, N.S.: Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces. In: ACM SIGGRAPH 2004 Papers, SIGGRAPH 2004, pp. 514\u2013521. ACM, New York (2004)","DOI":"10.1145\/1186562.1015754"},{"key":"5_CR37","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1007\/s11263-009-0273-6","volume":"87","author":"L Sigal","year":"2010","unstructured":"Sigal, L., Balan, A., Black, M.: HumanEva: synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion. Int. J. Comput. Vis. 87, 4\u201327 (2010)","journal-title":"Int. J. Comput. Vis."},{"issue":"4","key":"5_CR38","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/2185520.2185523","volume":"31","author":"M Vondrak","year":"2012","unstructured":"Vondrak, M., Sigal, L., Hodgins, J., Jenkins, O.: Video-based 3D motion capture through biped control. ACM Trans. Graph. 31(4), 27:1\u201327:12 (2012)","journal-title":"ACM Trans. Graph."},{"issue":"1","key":"5_CR39","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s10107-004-0559-y","volume":"106","author":"A W\u00e4chter","year":"2006","unstructured":"W\u00e4chter, A., Biegler, L.T.: On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math. Program. 106(1), 25\u201357 (2006)","journal-title":"Math. Program."},{"issue":"4","key":"5_CR40","first-page":"25","volume":"31","author":"JM Wang","year":"2012","unstructured":"Wang, J.M., Hamner, S.R., Delp, S.L., Koltun, V.: Optimizing locomotion controllers using biologically-based actuators and objectives. ACM Trans. Graph. 31(4), 25 (2012)","journal-title":"ACM Trans. Graph."},{"key":"5_CR41","doi-asserted-by":"crossref","unstructured":"Wei, X., Chai, J.: VideoMocap: modeling physically realistic human motion from monocular video sequences. In: ACM SIGGRAPH 2010 Papers, SIGGRAPH 2010, pp. 42:1\u201342:10. ACM, New York (2010)","DOI":"10.1145\/1833349.1778779"},{"key":"5_CR42","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.1109\/LRA.2018.2798285","volume":"3","author":"AW Winkler","year":"2018","unstructured":"Winkler, A.W., Bellicoso, D.C., Hutter, M., Buchli, J.: Gait and trajectory optimization for legged systems through phase-based end-effector parameterization. IEEE Robot. Autom. Lett. (RA-L) 3, 1560\u20131567 (2018)","journal-title":"IEEE Robot. Autom. Lett. (RA-L)"},{"key":"5_CR43","doi-asserted-by":"crossref","unstructured":"Xiang, D., Joo, H., Sheikh, Y.: Monocular total capture: posing face, body, and hands in the wild. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10965\u201310974. IEEE (June 2019)","DOI":"10.1109\/CVPR.2019.01122"},{"issue":"2","key":"5_CR44","doi-asserted-by":"publisher","first-page":"27:1","DOI":"10.1145\/3181973","volume":"37","author":"W Xu","year":"2018","unstructured":"Xu, W., et al.: MonoPerfCap: human performance capture from monocular video. ACM Trans. Graph. 37(2), 27:1\u201327:15 (2018)","journal-title":"ACM Trans. Graph."},{"key":"5_CR45","doi-asserted-by":"crossref","unstructured":"Zanfir, A., Marinoiu, E., Sminchisescu, C.: Monocular 3D pose and shape estimation of multiple people in natural scenes-the importance of multiple scene constraints. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2148\u20132157. IEEE (June 2018)","DOI":"10.1109\/CVPR.2018.00229"},{"key":"5_CR46","doi-asserted-by":"crossref","unstructured":"Zou, Y., Yang, J., Ceylan, D., Zhang, J., Perazzi, F., Huang, J.B.: Reducing footskate in human motion reconstruction with ground contact constraints. In: The IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 459\u2013468. IEEE (March 2020)","DOI":"10.1109\/WACV45572.2020.9093329"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58558-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T08:43:18Z","timestamp":1730104998000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58558-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030585570","9783030585587"],"references-count":46,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58558-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 October 2020","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":"Glasgow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 August 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 August 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2020.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OpenReview","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5025","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1360","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"27% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}