{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:04:48Z","timestamp":1740107088715,"version":"3.37.3"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T00:00:00Z","timestamp":1602028800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T00:00:00Z","timestamp":1602028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["No.LY18F020034"],"award-info":[{"award-number":["No.LY18F020034"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No.61801428"],"award-info":[{"award-number":["No.61801428"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s00371-020-01984-5","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T03:41:50Z","timestamp":1602042110000},"page":"2253-2261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Self-supervised deep subspace clustering network for faces in videos"],"prefix":"10.1007","volume":"37","author":[{"given":"Yunhao","family":"Qiu","sequence":"first","affiliation":[]},{"given":"Pengyi","family":"Hao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,7]]},"reference":[{"key":"1984_CR1","doi-asserted-by":"crossref","unstructured":"Cinbis, R.G., Verbeek, J.J., Schmid, C.: Unsupervised metric learning for face identification in TV video. In: 2011 IEEE International Conference on Computer Vision (2011)","DOI":"10.1109\/ICCV.2011.6126415"},{"key":"1984_CR2","doi-asserted-by":"crossref","unstructured":"Elhamifar, E., Vidal, R.: Sparse subspace clustering: algorithm, theory, and applications. In: 2013 IEEE Transactions on Pattern Analysis Machine Intelligence, vol. 35, pp. 2765\u20132781 (2013)","DOI":"10.1109\/TPAMI.2013.57"},{"key":"1984_CR3","doi-asserted-by":"crossref","unstructured":"Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y., Ma, Y.: Robust recovery of subspace structures by low-rank representation. In: 2013 IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, pp. 171\u2013184 (2013)","DOI":"10.1109\/TPAMI.2012.88"},{"key":"1984_CR4","unstructured":"Pan, J., Tong, Z., Li, H., Salzmann, M., Reid, I.: Deep subspace clustering networks. In: 2017 Conference and Workshop on Neural Information Processing Systems (2017)"},{"key":"1984_CR5","unstructured":"Roth, M., B\u00e4uml, M., Nevatia, R., Stiefelhagen, R.: Robust multi-pose face tracking by multi-stage tracklet association. In: Proceedings of the 21st International Conference on Pattern Recognition, pp. 1012\u20131016 (2012)"},{"issue":"7","key":"1984_CR6","doi-asserted-by":"publisher","first-page":"1276","DOI":"10.1109\/TMM.2009.2030629","volume":"11","author":"Y Zhang","year":"2009","unstructured":"Zhang, Y., Xu, C., Lu, H., Huang, Y.: Character identification in feature-length films using global face-name matching. IEEE Trans. Multimed. 11(7), 1276\u20131288 (2009)","journal-title":"IEEE Trans. Multimed."},{"key":"1984_CR7","doi-asserted-by":"crossref","unstructured":"Lu, C.-Y., Min, H., Zhao, Z.-Q., Zhu, L., Huang, D.-S., Yan, S.: Robust and efficient subspace segmentation via least squares regression. In: 2012 European Conference on Computer Vision, pp. 347\u2013360 (2012)","DOI":"10.1007\/978-3-642-33786-4_26"},{"key":"1984_CR8","doi-asserted-by":"crossref","unstructured":"Patel, V.M., Vidal, R.: Kernel sparse subspace clustering. In: 2014 IEEE International Conference on Image Processing, pp. 2849\u20132853 (2014)","DOI":"10.1109\/ICIP.2014.7025576"},{"key":"1984_CR9","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1109\/JSTSP.2015.2402643","volume":"9","author":"VM Patel","year":"2015","unstructured":"Patel, V.M., Nguyen, H.V., Vidal, R.: Latent space sparse and low-rank subspace clustering. IEEE J. Sel. Top. Signal Process. 9, 691\u2013701 (2015)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"1984_CR10","doi-asserted-by":"crossref","unstructured":"Patel, V.M., Nguyen, H.V., Vidal, R.: Latent space sparse subspace clustering. In: 2013 IEEE International Conference on Computer Vision, pp. 225\u2013232 (2013)","DOI":"10.1109\/ICCV.2013.35"},{"key":"1984_CR11","doi-asserted-by":"publisher","first-page":"2268","DOI":"10.1109\/TNNLS.2015.2472284","volume":"27","author":"S Xiao","year":"2016","unstructured":"Xiao, S., Tan, M., Xu, D., Dong, Z.Y.: Robust kernel low-rank representation. IEEE Trans. Neural Netw. Learn. Syst. 27, 2268\u20132281 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1984_CR12","doi-asserted-by":"crossref","unstructured":"Yin, M., Guo, Y., Gao, J., He, Z., Xie, S.: Kernel sparse subspace clustering on symmetric positive definite manifolds. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.557"},{"issue":"10","key":"1984_CR13","doi-asserted-by":"publisher","first-page":"5076","DOI":"10.1109\/TIP.2018.2848470","volume":"27","author":"X Peng","year":"2018","unstructured":"Peng, X., Feng, J., Xiao, S., Yau, W., Zhou, J.T., Yang, S.: Structured autoencoders for subspace clustering. IEEE Trans. Image Process. 27(10), 5076\u20135086 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"1984_CR14","doi-asserted-by":"crossref","unstructured":"Cinbis, R.G., Verbeek, J., Schmid, C.: Unsupervised metric learning for face identification in TV video. In: 2011 International Conference on Computer Vision, pp. 1559\u20131566 (2011)","DOI":"10.1109\/ICCV.2011.6126415"},{"key":"1984_CR15","doi-asserted-by":"crossref","unstructured":"Du, M., Chellappa, R.: Face association across unconstrained video frames using conditional random fields. In: 2012 European Conference on Computer Vision, pp. 167\u2013180 (2012)","DOI":"10.1007\/978-3-642-33786-4_13"},{"key":"1984_CR16","doi-asserted-by":"crossref","unstructured":"Hu, Y., Mian, A.S., Owens, R.: Sparse approximated nearest points for image set classification. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp. 121\u2013128 (2011)","DOI":"10.1109\/CVPR.2011.5995500"},{"key":"1984_CR17","doi-asserted-by":"crossref","unstructured":"Tapaswi, M., Law, M.T., Fidler, S.: Video face clustering with unknown number of clusters. In: International Conference on Computer Vision (2019)","DOI":"10.1109\/ICCV.2019.00513"},{"key":"1984_CR18","doi-asserted-by":"crossref","unstructured":"Wu, B., Zhang, Y., Hu, B., Ji, Q.: Constrained clustering and its application to face clustering in videos. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 3507\u20133514 (2013)","DOI":"10.1109\/CVPR.2013.450"},{"key":"1984_CR19","doi-asserted-by":"crossref","unstructured":"Xiao, S., Tan, M., Xu, D.: Weighted block-sparse low rank representation for face clustering in videos. In: 2014 European Conference on Computer Vision, pp. 123\u2013138 (2014)","DOI":"10.1007\/978-3-319-10599-4_9"},{"key":"1984_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Joint face representation adaptation and clustering in videos. In: Proceedings of 2016 European Conference on Computer Vision, vol. 9907, pp. 236\u2013251 (2016)","DOI":"10.1007\/978-3-319-46487-9_15"},{"key":"1984_CR21","doi-asserted-by":"publisher","first-page":"5780","DOI":"10.1109\/TIP.2016.2601491","volume":"25","author":"Y Zhang","year":"2016","unstructured":"Zhang, Y., Tang, Z., Wu, B., Ji, Q., Lu, H.: A coupled hidden conditional random field model for simultaneous face clustering and naming in videos. IEEE Trans. Image Process. 25, 5780\u20135792 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"1984_CR22","doi-asserted-by":"crossref","unstructured":"Sharma, V., Tapaswi, M., Sarfraz, M.S., Stiefelhagen, R.: Self-supervised learning of face representations for video face clustering. In: IEEE International Conference on Automatic Face and Gesture Recognition (2019)","DOI":"10.1109\/FG.2019.8756609"},{"key":"1984_CR23","unstructured":"Klein, D., Kamvar, S., Manning, C.: From instancelevel constraints to space-level constraints: making the most of prior knowledge in data clustering. In: Proceedings of the Nineteenth International Conference on Machine Learning, pp. 307\u2013314 (2002)"},{"key":"1984_CR24","first-page":"73","volume-title":"Probabilistic Semi-Supervised Clustering with Constraints","author":"O Chapelle","year":"2006","unstructured":"Chapelle, O., Sch\u00f6lkopf, B., Zien, A.: Probabilistic Semi-Supervised Clustering with Constraints, pp. 73\u2013102. MIT Press, Cambridge (2006)"},{"key":"1984_CR25","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"1984_CR26","unstructured":"Ji, P., Salzmann, M., Li, H.: Efficient dense subspace clustering. In: IEEE Winter Conference on Applications of Computer Vision, pp. 461\u2013468 (2014)"},{"key":"1984_CR27","unstructured":"Ng, A.Y., Jordan, M.I., Weiss, Y.: On spectral clustering: analysis and an algorithm. In: 2001 Conference on Neural Information Processing Systems (2001)"},{"key":"1984_CR28","first-page":"140","volume-title":"Pattern Recognition and Machine Learning","author":"C Bishop","year":"2006","unstructured":"Bishop, C.: Pattern Recognition and Machine Learning, pp. 140\u2013155. Springer, Berlin (2006)"},{"key":"1984_CR29","doi-asserted-by":"publisher","first-page":"14007","DOI":"10.1007\/s11042-018-7040-z","volume":"78","author":"S Pini","year":"2019","unstructured":"Pini, S., Cornia, M., Bolelli, F.: M-VAD names: a dataset for video captioning with naming. Multimed. Tools Appl. 78, 14007\u201314027 (2019)","journal-title":"Multimed. Tools Appl."}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-020-01984-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-020-01984-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-020-01984-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T02:35:05Z","timestamp":1633574105000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-020-01984-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,7]]},"references-count":29,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["1984"],"URL":"https:\/\/doi.org\/10.1007\/s00371-020-01984-5","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2020,10,7]]},"assertion":[{"value":"19 September 2020","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 October 2020","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}