{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:43:02Z","timestamp":1755999782131,"version":"3.41.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319716060"},{"type":"electronic","value":"9783319716077"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-71607-7_19","type":"book-chapter","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T01:30:23Z","timestamp":1514511023000},"page":"211-223","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Deep Convolutional Neural Network for Facial Expression Recognition"],"prefix":"10.1007","author":[{"given":"Yikui","family":"Zhai","sequence":"first","affiliation":[]},{"given":"Jian","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Junying","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Vincenzo","family":"Piuri","sequence":"additional","affiliation":[]},{"given":"Fabio","family":"Scotti","sequence":"additional","affiliation":[]},{"given":"Zilu","family":"Ying","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Junying","family":"Gan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,30]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Sun, Y., Wang, X., Tang, X.: Deep convolutional network cascade for facial point detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3476\u20133483 (2013)","DOI":"10.1109\/CVPR.2013.446"},{"key":"19_CR2","doi-asserted-by":"crossref","unstructured":"Kahou, S.E., Pal, C., Bouthillier, X., et al.: Combining modality specific deep neural networks for emotion recognition in video. In: Proceedings of the 15th ACM on International Conference on Multimodal Interaction, pp. 543\u2013550. ACM (2013)","DOI":"10.1145\/2522848.2531745"},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Ding, H., Zhou, S.K., Chellappa, R.: FaceNet2ExpNet: regularizing a deep face recognition net for expression recognition. arXiv preprint arXiv:1609.06591 (2016)","DOI":"10.1109\/FG.2017.23"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Wang, F., Xiang, X., Liu, C., et al.: Transferring face verification nets to pain and expression regression. arXiv preprint arXiv:1702.06925 (2017)","DOI":"10.1109\/ICIP.2017.8296449"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"Ekman, P., Friesen, W.V.: Facial action coding system (1977)","DOI":"10.1037\/t27734-000"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Lien, J.J., Kanade, T., Cohn, J.F., et al.: Automated facial expression recognition based on FACS action units. In: International Conference on Face & Gesture Recognition, p. 390. IEEE Computer Society (1998)","DOI":"10.1109\/AFGR.1998.670980"},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Yang, J.: Maximum margin GMM learning for facial expression recognition. In: IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/FG.2013.6553794"},{"key":"19_CR8","doi-asserted-by":"crossref","unstructured":"Tariq, U., Yang, J., Huang, T.S.: Maximum margin GMM learning for facial expression recognition (2013)","DOI":"10.1109\/FG.2013.6553794"},{"key":"19_CR9","first-page":"15","volume":"02","author":"LI Rong","year":"2016","unstructured":"Rong, L.I., Wang, H.J., Yan-Hua, X.U., et al.: A face expression recognition method based on fusion of supervised super-vector encoding and adaptive GMM model. Comput. Mod. 02, 15\u201320 (2016)","journal-title":"Comput. Mod."},{"issue":"4","key":"19_CR10","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1162\/neco.1989.1.4.541","volume":"1","author":"Y Lecun","year":"2008","unstructured":"Lecun, Y., Boser, B., Denker, J.S., et al.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541\u2013551 (2008)","journal-title":"Neural Comput."},{"issue":"10","key":"19_CR11","first-page":"217","volume":"22","author":"P Burkert","year":"2015","unstructured":"Burkert, P., Trier, F., Afzal, M.Z., et al.: DeXpression: deep convolutional neural network for expression recognition. Comput. Sci. 22(10), 217\u2013222 (2015)","journal-title":"Comput. Sci."},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Yu, Z., Zhang, C.: Image based static facial expression recognition with multiple deep network learning. In: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, pp. 435\u2013442. ACM (2015)","DOI":"10.1145\/2818346.2830595"},{"key":"19_CR13","unstructured":"Zhang, X.: Facial expression analysis via transfer learning. Dissertations & Theses - Gradworks (2015)"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Chen, J., Liu, X., Tu, P., et al.: Person-specific expression recognition with transfer learning. In: IEEE International Conference on Image Processing, pp. 2621\u20132624. IEEE (2012)","DOI":"10.1109\/ICIP.2012.6467436"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., et al.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"19_CR16","unstructured":"Wu, X., He, R., Sun, Z.: A lightened CNN for deep face representation. Comput. Sci. (2015)"},{"key":"19_CR17","unstructured":"Dhall, A., Goecke, R., Lucey, S., et al.: Static facial expressions in the wild: data and experiment protocol. CVHCI"},{"key":"19_CR18","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.neunet.2014.09.005","volume":"64","author":"IJ Goodfellow","year":"2015","unstructured":"Goodfellow, I.J., Erhan, D., Luc, C.P., et al.: Challenges in representation learning: a report on three machine learning contests. Neural Netw. 64, 59\u201363 (2015)","journal-title":"Neural Netw."},{"issue":"2","key":"19_CR19","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1023\/B:VISI.0000013087.49260.fb","volume":"57","author":"P Viola","year":"2004","unstructured":"Viola, P., Jones, M.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137\u2013154 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Jia, Y., Shelhamer, E., et al.: Caffe: convolutional architecture for fast feature embedding. Eprint ArXiv, pp. 675\u2013678 (2014)","DOI":"10.1145\/2647868.2654889"},{"issue":"C","key":"19_CR21","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.neucom.2015.02.011","volume":"159","author":"M Liu","year":"2015","unstructured":"Liu, M., Li, S., Shan, S., et al.: AU-inspired deep networks for facial expression feature learning. Neurocomputing 159(C), 126\u2013136 (2015)","journal-title":"Neurocomputing"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Liu, M., Shan, S., Wang, R., et al.: Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1749\u20131756. IEEE (2014)","DOI":"10.1109\/CVPR.2014.226"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Mollahosseini, A., Chan, D., Mahoor, M.H.: Going deeper in facial expression recognition using deep neural networks. Comput. Sci., 1\u201310 (2015)","DOI":"10.1109\/WACV.2016.7477450"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Levi, G., Hassner, T.: Emotion recognition in the wild via convolutional neural networks and mapped binary patterns. In: ACM on International Conference on Multimodal Interaction, vol. 2015, pp. 503\u2013510. ACM (2015)","DOI":"10.1145\/2818346.2830587"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Ng, H.W., Nguyen, V.D., Vonikakis, V., et al.: Deep learning for emotion recognition on small datasets using transfer learning. In: ACM International Conference on Multimodal Interaction, vol. 2015, pp. 443\u2013449. ACM (2015)","DOI":"10.1145\/2818346.2830593"}],"container-title":["Lecture Notes in Computer Science","Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71607-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T08:47:15Z","timestamp":1751186835000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-71607-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319716060","9783319716077"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71607-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"30 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image and Graphics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icig2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/10times.com\/icig-sa","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}