{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:49:26Z","timestamp":1743090566705,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030368012"},{"type":"electronic","value":"9783030368029"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-36802-9_53","type":"book-chapter","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T18:03:03Z","timestamp":1575568983000},"page":"497-505","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Joint Grouping and Labeling via Complete Graph Decomposition"],"prefix":"10.1007","author":[{"given":"Jinchao","family":"Ge","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenhua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiajun","family":"Meng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengyong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"53_CR1","unstructured":"Eddy, I., Nikolaus, M., Tonmoy, S., Margret, K., Alexey, D., Thomas, B.: FlowNet2.0: evolution of optical flow estimation with deep networks. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)"},{"issue":"1\u20133","key":"53_CR2","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/BF01589097","volume":"45","author":"M Gr\u00f6tschel","year":"1989","unstructured":"Gr\u00f6tschel, M., Wakabayashi, Y.: A cutting plane algorithm for a clustering problem. Math. Program. 45(1\u20133), 59\u201396 (1989)","journal-title":"Math. Program."},{"key":"53_CR3","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"53_CR4","unstructured":"Joseph, R., Ali, F.: YOLO9000: better, faster, stronger. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)"},{"key":"53_CR5","doi-asserted-by":"crossref","unstructured":"Kappes, J., et al.: A comparative study of modern inference techniques for discrete energy minimization problems. In: IEEE Conference on Computer Vision and Pattern Recognition (2013)","DOI":"10.1109\/CVPR.2013.175"},{"issue":"2","key":"53_CR6","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1002\/j.1538-7305.1970.tb01770.x","volume":"49","author":"BW Kernighan","year":"1970","unstructured":"Kernighan, B.W., Lin, S.: An efficient heuristic procedure for partitioning graphs. Bell Syst. Tech. J. 49(2), 291\u2013307 (1970)","journal-title":"Bell Syst. Tech. J."},{"key":"53_CR7","doi-asserted-by":"crossref","unstructured":"Keuper, M., Levinkov, E., Bonneel, N., Lavou\u00e9, G., Brox, T., Andres, B.: Efficient decomposition of image and mesh graphs by lifted multicuts. In: IEEE International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.204"},{"key":"53_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/978-3-642-33718-5_22","volume-title":"Computer Vision \u2013 ECCV 2012","author":"Y Kong","year":"2012","unstructured":"Kong, Y., Jia, Y., Fu, Y.: Learning human interaction by interactive phrases. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7572, pp. 300\u2013313. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-33718-5_22"},{"key":"53_CR9","unstructured":"Law, M., Urtasun, R., Zemel, R.: Deep spectral clustering learning. In: International Conference on Machine Learning (2017)"},{"key":"53_CR10","unstructured":"Levinkov, E., Tang, S., Insafutdinov, E., Andres, B.: Joint graph decomposition and node labeling by local search. In: IEEE Conference on Computer Vision and Pattern Recognition (2017)"},{"key":"53_CR11","unstructured":"Ryoo, M., Aggarwal, J.: UT-interaction dataset, ICPR contest on semantic description of human activities (SDHA). In: IEEE International Conference on Pattern Recognition Workshops (2010)"},{"key":"53_CR12","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: Advances in Neural Information Processing Systems (2014)"},{"key":"53_CR13","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"53_CR14","doi-asserted-by":"crossref","unstructured":"Stergiou, A., Poppe, R.: Understanding human-human interactions: a survey. arXiv preprint arXiv:1808.00022 (2018)","DOI":"10.1016\/j.cviu.2019.102799"},{"key":"53_CR15","doi-asserted-by":"crossref","unstructured":"Tang, S., Andres, B., Andriluka, M., Schiele, B.: Subgraph decomposition for multi-target tracking. In: IEEE Conference on Computer Vision and Pattern Recognition (2015)","DOI":"10.1109\/CVPR.2015.7299138"},{"issue":"2","key":"53_CR16","first-page":"1453","volume":"6","author":"I Tsochantaridis","year":"2006","unstructured":"Tsochantaridis, I., Joachims, T., Hofmann, T., Altun, Y.: Large margin methods for structured and interdependent output variables. J. Mach. Learn. Res. 6(2), 1453\u20131484 (2006)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"53_CR17","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/s11263-012-0564-1","volume":"101","author":"C Vondrick","year":"2013","unstructured":"Vondrick, C., Patterson, D., Ramanan, D.: Efficiently scaling up crowdsourced video annotation. Int. J. Comput. Vis. 101(1), 184\u2013204 (2013)","journal-title":"Int. J. Comput. Vis."},{"key":"53_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/978-3-319-46484-8_2","volume-title":"Computer Vision \u2013 ECCV 2016","author":"L Wang","year":"2016","unstructured":"Wang, L., et al.: Temporal segment networks: towards good practices for deep action recognition. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 20\u201336. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46484-8_2"},{"issue":"8","key":"53_CR19","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1109\/TCSVT.2016.2539699","volume":"27","author":"Z Wang","year":"2017","unstructured":"Wang, Z., Liu, S., Zhang, J., Chen, S., Guan, Q.: A spatio-temporal CRF for human interaction understanding. IEEE Trans. Circ. Syst. Video Technol. 27(8), 1647\u20131660 (2017)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."}],"container-title":["Communications in Computer and Information Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-36802-9_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:55:20Z","timestamp":1710262520000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-36802-9_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030368012","9783030368029"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-36802-9_53","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajiips.com.au\/iconip2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}