{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:41:22Z","timestamp":1755823282058,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,27]],"date-time":"2024-10-27T00:00:00Z","timestamp":1729987200000},"content-version":"vor","delay-in-days":367,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971052"],"award-info":[{"award-number":["61971052"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["MRI 2215789 and IIS 1909879"],"award-info":[{"award-number":["MRI 2215789 and IIS 1909879"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Lehigh?s grants","award":["S00010293 and 001250"],"award-info":[{"award-number":["S00010293 and 001250"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFC2004300 and 2020YFC2004302"],"award-info":[{"award-number":["2020YFC2004300 and 2020YFC2004302"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,26]]},"DOI":"10.1145\/3581783.3612014","type":"proceedings-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T07:27:30Z","timestamp":1698391650000},"page":"4300-4308","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Generative Neutral Features-Disentangled Learning for Facial Expression Recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6520-4114","authenticated-orcid":false,"given":"Zhenqian","family":"Wu","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7705-4603","authenticated-orcid":false,"given":"Yazhou","family":"Ren","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7387-7194","authenticated-orcid":false,"given":"Xiaorong","family":"Pu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9713-7251","authenticated-orcid":false,"given":"Zhifeng","family":"Hao","sequence":"additional","affiliation":[{"name":"Shantou University, Shantou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7810-9071","authenticated-orcid":false,"given":"Lifang","family":"He","sequence":"additional","affiliation":[{"name":"Lehigh University, Bethlehem, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Hughes","author":"Ali Kamran","year":"2019","unstructured":"Kamran Ali and Charles E. Hughes. 2019. Facial Expression Recognition Using Disentangled Adversarial Learning. arXiv preprint arXiv:1909.13135 (2019)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Volker Blanz and Thomas Vetter. 1999. A Morphable Model for the Synthesis of 3D Faces. In SIGGRAPH. 187--194.","DOI":"10.1145\/311535.311556"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2005.08.006"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.245"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"J.F. Cohn A.J. Zlochower J.J. Lien and T. Kanade. 1998. Feature-point tracking by optical flow discriminates subtle differences in facial expression. In IEEE FG. 396--401.","DOI":"10.1109\/AFGR.1998.670981"},{"volume-title":"The Expression of the Emotions in Man and Animals. John Murray","author":"Darwin Charles","key":"e_1_3_2_1_6_1","unstructured":"Charles Darwin. 1872. The Expression of the Emotions in Man and Animals. John Murray, London."},{"key":"e_1_3_2_1_7_1","volume-title":"Taylor","author":"Devries Terrance","year":"2014","unstructured":"Terrance Devries, Kumar Biswaranjan, and Graham W. Taylor. 2014. Multi-Task Learning of Facial Landmarks and Expression. In CPV. 98--103."},{"key":"e_1_3_2_1_8_1","volume-title":"Shaohua Kevin Zhou, and Rama Chellappa","author":"Ding Hui","year":"2017","unstructured":"Hui Ding, Shaohua Kevin Zhou, and Rama Chellappa. 2017. FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. In IEEE FG. 118--126."},{"key":"e_1_3_2_1_9_1","volume-title":"CPP","volume":"12","author":"Ekman Paul","year":"1978","unstructured":"Paul Ekman and Wallace V. Friesen. 1978. Facial action coding system: A technique for the measurement of facial movement. CPP, Vol. 12 (1978)."},{"key":"e_1_3_2_1_10_1","unstructured":"Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In NIPS. 2672--2680."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770--778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1006\/jvci.1997.0359"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Heechul Jung Sihaeng Lee Junho Yim Sunjeong Park and Junmo Kim. 2015. Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. In ICCV. 2983--2991.","DOI":"10.1109\/ICCV.2015.341"},{"key":"e_1_3_2_1_14_1","volume-title":"Deep generative-contrastive networks for facial expression recognition. arXiv preprint arXiv:1703.07140","author":"Kim Youngsung","year":"2017","unstructured":"Youngsung Kim, ByungIn Yoo, Youngjun Kwak, Changkyu Choi, and Junmo Kim. 2017. Deep generative-contrastive networks for facial expression recognition. arXiv preprint arXiv:1703.07140 (2017)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Satoshi Kimura and Masahiko Yachida. 1997. Facial Expression Recognition and Its Degree Estimation. In CVPR. 295--300.","DOI":"10.1109\/CVPR.1997.609338"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.884954"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsycho.2010.03.010"},{"key":"e_1_3_2_1_18_1","volume-title":"Hinton","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. In NIPS. 1097--1105."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868382"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Mengyi Liu Shaoxin Li S. Shan Ruiping Wang and Xilin Chen. 2014a. Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis. In ACCV. 143--157.","DOI":"10.1007\/978-3-319-16817-3_10"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Mengyi Liu Shiguang Shan Ruiping Wang and Xilin Chen. 2014b. Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition. In CVPR. 1749--1756.","DOI":"10.1109\/CVPR.2014.226"},{"key":"e_1_3_2_1_23_1","volume-title":"Lucas and Takeo Kanade","author":"Bruce","year":"1981","unstructured":"Bruce D. Lucas and Takeo Kanade. 1981. An Iterative Image Registration Technique with an Application to Stereo Vision. In IJCAI. 674--679."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Debin Meng Xiaojiang Peng Kai Wang and Yu Qiao. 2019. Frame Attention Networks for Facial Expression Recognition in Videos. In ICIP. 3866--3870.","DOI":"10.1109\/ICIP.2019.8803603"},{"volume-title":"Identity-Aware Convolutional Neural Network for Facial Expression Recognition","author":"Meng Zibo","key":"e_1_3_2_1_26_1","unstructured":"Zibo Meng, Liu Ping, Cai Jie, Shizhong Han, and Tong Yan. 2017. Identity-Aware Convolutional Neural Network for Facial Expression Recognition. In IEEE FG. 558--565."},{"key":"e_1_3_2_1_27_1","volume-title":"Conditional Generative Adversarial Nets. arXiv preprint arXiv:1703.07140","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero. 2014. Conditional Generative Adversarial Nets. arXiv preprint arXiv:1703.07140 (2014)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(00)00034-2"},{"key":"e_1_3_2_1_29_1","unstructured":"M. Pantic Michel Valstar R. Rademaker and L. Maat. 2005. Web-based database for facial expression analysis. In ICME. 5--15."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Olaf Ronneberger Philipp Fischer and Thomas Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. In MICCAI. 234--241.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_1_31_1","first-page":"524","article-title":"Deep Learning for Human Affect Recognition","volume":"12","author":"Rouast Philipp V.","year":"2021","unstructured":"Philipp V. Rouast, Marc T. P. Adam, and Raymond Chiong. 2021. Deep Learning for Human Affect Recognition: Insights and New Developments. TAFFC, Vol. 12, 2 (2021), 524--543.","journal-title":"Insights and New Developments. TAFFC"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","unstructured":"Delian Ruan Yan Yan Si Chen Jing-Hao Xue and Hanzi Wang. 2020. Deep Disturbance-Disentangled Learning for Facial Expression Recognition. In ACM MM. 2833--2841.","DOI":"10.1145\/3394171.3413907"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"crossref","unstructured":"Delian Ruan Yan Yan Shenqi Lai Zhenhua Chai Chunhua Shen and Hanzi Wang. 2021. Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. In CVPR. 7660--7669.","DOI":"10.1109\/CVPR46437.2021.00757"},{"key":"e_1_3_2_1_34_1","volume-title":"McOwan","author":"Shan Caifeng","year":"2005","unstructured":"Caifeng Shan, Shaogang Gong, and Peter W. McOwan. 2005. Appearance Manifold of Facial Expression. In HCI\/ICCV. 221--230."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Jianjian Shao Zhenqian Wu Yuanyan Luo Shudong Huang Xiaorong Pu and Yazhou Ren. 2022. Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition. In ACM MM. 161--169.","DOI":"10.1145\/3503161.3547960"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke and Andrew Rabinovich. 2015. Going deeper with convolutions. In CVPR. 1--9.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_37_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"der Maaten Laurens Van","year":"2008","unstructured":"Laurens Van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. JMLR, Vol. 9 (2008), 2579--2605.","journal-title":"JMLR"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Yan Wang Yixuan Sun Wei Song Shuyong Gao Yiwen Huang Zhaoyu Chen Weifeng Ge and Wenqiang Zhang. 2022. DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos. In ACM MM. 101--110.","DOI":"10.1145\/3503161.3547865"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Huiyuan Yang Umur Ciftci and Lijun Yin. 2018. Facial Expression Recognition by De-expression Residue Learning. In CVPR. 2168--2177.","DOI":"10.1109\/CVPR.2018.00231"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Junho Yim Heechul Jung ByungIn Yoo Changkyu Choi Dusik Park and Junmo Kim. 2015. Rotating your face using multi-task deep neural network. In CVPR. 676--684.","DOI":"10.1109\/CVPR.2015.7298667"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2689999"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"crossref","unstructured":"Wei Zhang Xianpeng Ji Keyu Chen Yu Ding and Changjie Fan. 2021. Learning a Facial Expression Embedding Disentangled From Identity. In CVPR. 6759--6768.","DOI":"10.1109\/CVPR46437.2021.00669"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.07.002"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Zhenyao Zhu Ping Luo Xiaogang Wang and Xiaoou Tang. 2013. Deep learning identity-preserving face space. In ICCV. 113--120.","DOI":"10.1109\/ICCV.2013.21"}],"event":{"name":"MM '23: The 31st ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Ottawa ON Canada","acronym":"MM '23"},"container-title":["Proceedings of the 31st ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612014","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3612014","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3581783.3612014","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:00:49Z","timestamp":1755820849000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3581783.3612014"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,26]]},"references-count":44,"alternative-id":["10.1145\/3581783.3612014","10.1145\/3581783"],"URL":"https:\/\/doi.org\/10.1145\/3581783.3612014","relation":{},"subject":[],"published":{"date-parts":[[2023,10,26]]},"assertion":[{"value":"2023-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}