{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,3]],"date-time":"2025-10-03T09:00:51Z","timestamp":1759482051053},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T00:00:00Z","timestamp":1563753600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T00:00:00Z","timestamp":1563753600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimedia Systems"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s00530-019-00628-6","type":"journal-article","created":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T08:03:56Z","timestamp":1563782636000},"page":"53-61","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Person-independent facial expression recognition method based on improved Wasserstein generative adversarial networks in combination with identity\u00a0aware"],"prefix":"10.1007","volume":"26","author":[{"given":"Caie","family":"Xu","sequence":"first","affiliation":[]},{"given":"Yang","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Yunhui","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Jiayi","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,22]]},"reference":[{"issue":"43","key":"628_CR1","first-page":"1253","volume":"87","author":"K Xia","year":"2019","unstructured":"Xia, K., Yin, H., Zhang, Y.: Deep semantic segmentation of kidney and space-occupying lesion area based on SCNN and ResNet models combined with SIFT-flow algorithm. J. Med. Syst. 87(43), 1253\u20131268 (2019)","journal-title":"J. Med. Syst."},{"issue":"6","key":"628_CR2","doi-asserted-by":"publisher","first-page":"803","DOI":"10.1016\/j.imavis.2008.08.005","volume":"27","author":"C Shan","year":"2009","unstructured":"Shan, C., Gong, S., Mcowan, P.W.: Facial expression recognition based on local binary patterns: a comprehensive study. Image Vis. Comput. 27(6), 803\u2013816 (2009)","journal-title":"Image Vis. Comput."},{"issue":"1\u20132","key":"628_CR3","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/S1077-3142(03)00081-X","volume":"91","author":"I Cohen","year":"2003","unstructured":"Cohen, I., Sebe, N., Garg, A., et al.: Facial expression recognition from video sequences. Comput. Vis. Image Underst. 91(1\u20132), 160\u2013187 (2003)","journal-title":"Comput. Vis. Image Underst."},{"key":"628_CR4","unstructured":"Cohen, I., Sebe, N., Garg, A., et al.: Facial expression recognition from video sequences. In: Proceedings. IEEE International Conference on Multimedia and Expo, vol. 24, no. 2, pp. 121\u2013124 (2002)"},{"key":"628_CR5","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1016\/j.patcog.2016.07.026","volume":"61","author":"AT Lopes","year":"2016","unstructured":"Lopes, A.T., Aguiar, E.D., Souza, A.F.D., et al.: Facial expression recognition with convolutional neural networks: coping with few data and the training sample order. Pattern Recogn. 61, 610\u2013628 (2016)","journal-title":"Pattern Recogn."},{"issue":"3","key":"628_CR6","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1109\/TAFFC.2014.2346515","volume":"5","author":"SH Lee","year":"2014","unstructured":"Lee, S.H., Plataniotis, K.N.K., Ro, Y.M.: Intra-class variation reduction using training expression images for sparse representation based facial expression recognition. IEEE Trans. Affect. Comput. 5(3), 340\u2013351 (2014)","journal-title":"IEEE Trans. Affect. Comput."},{"issue":"12","key":"628_CR7","doi-asserted-by":"publisher","first-page":"5920","DOI":"10.1109\/TIP.2016.2615424","volume":"25","author":"M Liu","year":"2016","unstructured":"Liu, M., Shan, S., Wang, R., et al.: Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition. IEEE Trans. Image Process. 25(12), 5920\u20135932 (2016)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"628_CR8","doi-asserted-by":"publisher","first-page":"712","DOI":"10.3390\/s17040712","volume":"17","author":"L Yanpeng","year":"2017","unstructured":"Yanpeng, L., Yibin, L., Xin, M., et al.: Facial expression recognition with fusion features extracted from salient facial areas. Sensors 17(4), 712\u2013729 (2017)","journal-title":"Sensors"},{"issue":"3","key":"628_CR9","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1109\/TCYB.2014.2330853","volume":"45","author":"Y Jiang","year":"2015","unstructured":"Jiang, Y., Chung, F.-L., Ishibuchi, H., et al.: Multitask TSK fuzzy system modeling by mining intertask common hidden structure. IEEE Trans. Cybern. 45(3), 548\u2013561 (2015)","journal-title":"IEEE Trans. Cybern."},{"key":"628_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TMM.2017.2759508","volume":"2017","author":"H Li","year":"2017","unstructured":"Li, H., Sun, J., Xu, Z., et al.: Multimodal 2D + 3D facial expression recognition with deep fusion convolutional neural network. IEEE Trans. Multimed. 2017, 1 (2017)","journal-title":"IEEE Trans. Multimed."},{"issue":"6","key":"628_CR11","doi-asserted-by":"publisher","first-page":"7803","DOI":"10.1007\/s11042-016-3418-y","volume":"76","author":"D Ghimire","year":"2017","unstructured":"Ghimire, D., Jeong, S., Joonwhoan, L.: Facial expression recognition based on local region specific features and support vector machines. Multimed. Tools Appl. 76(6), 7803\u20137821 (2017)","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"628_CR12","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1109\/TCYB.2014.2334595","volume":"45","author":"Y Jiang","year":"2015","unstructured":"Jiang, Y., Chung, F.-L., Wang, S., Deng, Z., Wang, J., Qian, P.: Collaborative fuzzy clustering from multiple weighted views. IEEE Trans. Cybern. 45(4), 688\u2013701 (2015)","journal-title":"IEEE Trans. Cybern."},{"key":"628_CR13","doi-asserted-by":"crossref","unstructured":"Valstar, M.F., S\u00e1nchez-Lozano, E., Cohn, J.F., et al.: Fera 2017-addressing head pose in the third facial expression recognition and analysis challenge. In: 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), Washington, DC, USA, 30 May\u20133 June 2017, pp. 839\u2013847 (2017)","DOI":"10.1109\/FG.2017.107"},{"key":"628_CR14","doi-asserted-by":"crossref","unstructured":"Bazrafkan, S., Nedelcu, T., Filipczuk, P., et al.: Deep learning for facial expression recognition: a step closer to a smartphone that knows your moods. In: 2017 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 8\u201310 January 2017, pp. 1208\u20131223 (2017)","DOI":"10.1109\/ICCE.2017.7889290"},{"key":"628_CR15","doi-asserted-by":"crossref","unstructured":"Hasani, B., Arzani, M.M., Fathy, M., et al.: Facial expression recognition with discriminatory graphical models. In: 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS), Tehran, Iran, 14\u201315 December 2016, pp. 1\u20137 (2016)","DOI":"10.1109\/ICSPIS.2016.7869885"},{"issue":"23","key":"628_CR16","first-page":"562","volume":"24","author":"Z Meng","year":"2017","unstructured":"Meng, Z., Liu, P., Cai, J., et al.: Identity-aware convolutional neural network for facial expression recognition. IEEE Comput. Soc. 24(23), 562\u2013573 (2017)","journal-title":"IEEE Comput. Soc."},{"key":"628_CR17","doi-asserted-by":"crossref","unstructured":"Hsu, S.C., Huang, H.H., Huang, C.L.: Facial expression recognition for human-robot interaction. In: 2017 First IEEE International Conference on Robotic Computing (IRC), Taichung, Taiwan, 10\u201312 April 2017. IEEE (2017)","DOI":"10.1109\/IRC.2017.12"},{"issue":"4","key":"628_CR18","doi-asserted-by":"publisher","first-page":"784","DOI":"10.21629\/JSEE.2017.04.18","volume":"28","author":"C Zhang","year":"2017","unstructured":"Zhang, C., Wang, P., Chen, K., et al.: Identity-aware convolutional neural networks for facial expression recognition. J. Syst. Eng. Electron. 28(4), 784\u2013792 (2017)","journal-title":"J. Syst. Eng. Electron."},{"key":"628_CR19","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.compeleceng.2017.04.019","volume":"63","author":"MZ Uddin","year":"2017","unstructured":"Uddin, M.Z., Hassan, M.M., Almogren, A., et al.: A facial expression recognition system using robust face features from depth videos and deep learning. Comput. Electr. Eng. 63, 114\u2013125 (2017)","journal-title":"Comput. Electr. Eng."},{"issue":"1","key":"628_CR20","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1109\/TCYB.2015.2399351","volume":"46","author":"P Qian","year":"2016","unstructured":"Qian, P., Jiang, Y., Deng, Z., Hu, L., Sun, S., Wang, S., Muzic R.F. Jr.: Cluster prototypes and fuzzy memberships jointly leveraged cross-domain maximum entropy clustering. IEEE Trans. Cybern. 46(1), 181\u2013193 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"628_CR21","doi-asserted-by":"crossref","unstructured":"Liu, X., Kumar, B.V.K.V, You, J., et al.: Adaptive deep metric learning for identity-aware facial expression recognition. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, USA, 21\u201326 July 2017, pp. 20\u201329 (2017)","DOI":"10.1109\/CVPRW.2017.79"},{"key":"628_CR22","first-page":"189","volume-title":"MultiMedia Modeling","author":"Wissam J. Baddar","year":"2016","unstructured":"Baddar, W.J., Kim, D.H., Ro, Y.M.: Learning features robust to image variations with siamese networks for facial expression recognition. In: Amsaleg L., Gu\u00f0mundsson G., Gurrin C., J\u00f3nsson B., Satoh S. (eds) International Conference on Multimedia Modeling, pp.189\u2013200. Springer, Cham (2017)"},{"key":"628_CR23","doi-asserted-by":"publisher","first-page":"012008","DOI":"10.1088\/1742-6596\/902\/1\/012008","volume":"787","author":"J Li","year":"2017","unstructured":"Li, J., Wang, S., Huo, J., Guo, H., Zhao, H., Mei, Y.: Bayesian framework with non-local and low-rank constraint for image reconstruction. J. Phys. Conf. Ser. 787, 012008 (2017)","journal-title":"J. Phys. Conf. Ser."},{"issue":"4","key":"628_CR24","doi-asserted-by":"publisher","first-page":"1965","DOI":"10.1109\/TIP.2017.2662237","volume":"26","author":"E Sariyanidi","year":"2017","unstructured":"Sariyanidi, E., Gunes, H., Cavallaro, A.: Learning bases of activity for facial expression recognition. IEEE Trans. Image Process. 26(4), 1965\u20131978 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"628_CR25","doi-asserted-by":"crossref","unstructured":"Jang, J., Kim, D.H., Kim, H.I., et al.: Color channel-wise recurrent learning for facial expression recognition. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5\u20139 March 2017, pp. 1233\u20131237 (2017)","DOI":"10.1109\/ICASSP.2017.7952353"},{"issue":"3","key":"628_CR26","first-page":"1","volume":"24","author":"KJ Xia","year":"2018","unstructured":"Xia, K.J., Yin, H.S., Wang, J.Q.: A novel improved deep convolutional neural network model for medical image fusion. Cluster Comput. 24(3), 1\u201313 (2018)","journal-title":"Cluster Comput."},{"key":"628_CR27","doi-asserted-by":"crossref","unstructured":"Fathallah, A., Abdi, L., Douik, A.: Facial expression recognition via deep learning. In: 2017 IEEE\/ACS 14th International Conference on Computer Systems and Applications (AICCSA), Hammamet, Tunisia, 30 October\u20133 November 2017, vol. 127, no. 99, pp. 107\u2013114. IEEE Computer Society (2017)","DOI":"10.1109\/AICCSA.2017.124"},{"key":"628_CR28","doi-asserted-by":"crossref","unstructured":"Mavani, V., Raman, S., Miyapuram, K.P.: Facial expression recognition using visual saliency and deep learning. In: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Venice, Italy, 22\u201329 October 2017, pp. 2783\u20132788 (2017)","DOI":"10.1109\/ICCVW.2017.327"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-019-00628-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00530-019-00628-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-019-00628-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,20]],"date-time":"2020-07-20T23:24:43Z","timestamp":1595287483000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00530-019-00628-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,22]]},"references-count":28,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["628"],"URL":"https:\/\/doi.org\/10.1007\/s00530-019-00628-6","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,22]]},"assertion":[{"value":"22 July 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}