{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T11:27:34Z","timestamp":1742383654208,"version":"3.37.3"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12026210,12026209"],"award-info":[{"award-number":["12026210,12026209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892729","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Multi-scale Local Region Relation Attention in Convolutional Neural Networks for Facial Action Unit Intensity Prediction"],"prefix":"10.1109","author":[{"given":"Anrui","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Jinan,China"}]},{"given":"Weiyang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Jinan,China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6963"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00246"},{"key":"ref33","first-page":"120","article-title":"The opencv library","volume":"25","author":"bradski","year":"2000","journal-title":"Dr Dobb's Journal Software Tools for the Professional Programmer"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025276"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2013.4"},{"key":"ref30","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"2013","journal-title":"Proc ICML"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00357"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.86.2.420"},{"key":"ref35","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref34","first-page":"1755","article-title":"Dlib-ml: A machine learning toolkit","volume":"10","author":"king","year":"2009","journal-title":"The Journal of Machine Learning Research"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00481"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2878339"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69541-5_9"},{"key":"ref13","article-title":"Spatio-temporal relation and attention learning for facial action unit detection","author":"shao","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6623239"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.101"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.04.022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-017-0645-4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2018.1483746"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.605"},{"key":"ref28","first-page":"52","article-title":"Stacked convolutional auto-encoders for hierarchical feature extraction","author":"masci","year":"2011","journal-title":"International Conference on Artificial Neural Networks"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.716"},{"key":"ref27","first-page":"3190","article-title":"Deepcoder: Semi-parametric variational autoencoders for automatic facial action coding","author":"linh tran","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1322355111"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_43"},{"key":"ref29","article-title":"A better autoencoder for image: Convolutional autoencoder","author":"zhang","year":"0","journal-title":"ICONIP17-DCEC"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2791608"},{"key":"ref8","article-title":"Facial action unit detection using attention and relation learning","author":"shao","year":"2019","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref7","first-page":"7680","article-title":"Facial action unit detection with transformers","author":"jacob","year":"0","journal-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref2","first-page":"1","article-title":"Emfacs-7: Emotional facial action coding system","volume":"2","author":"friesen","year":"1983","journal-title":"Unpublished manuscript"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00536"},{"key":"ref1","article-title":"Facial action coding system","author":"ekman","year":"1978","journal-title":"Environmental Psychology & Nonverbal Behavior"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/102"},{"key":"ref22","first-page":"3","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"0","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref21","article-title":"Computational efficient deep neural network with difference attention maps for facial action unit detection","author":"chen","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref24","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"0","journal-title":"ICML"},{"key":"ref23","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref26","first-page":"1274","article-title":"Mofa: Model-based deep convolutional face autoencoder for unsupervised monocular reconstruction","author":"tewari","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision Workshops"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-59497-3_175"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892729.pdf?arnumber=9892729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:01:03Z","timestamp":1667516463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892729","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}