{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T15:15:29Z","timestamp":1769354129471,"version":"3.49.0"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/fg.2019.8756551","type":"proceedings-article","created":{"date-parts":[[2019,7,12]],"date-time":"2019-07-12T00:15:37Z","timestamp":1562890537000},"page":"1-8","source":"Crossref","is-referenced-by-count":23,"title":["Visual Scene-aware Hybrid Neural Network Architecture for Video-based Facial Expression Recognition"],"prefix":"10.1109","author":[{"given":"Min Kyu","family":"Lee","sequence":"first","affiliation":[]},{"given":"Dong","family":"Yoon Choi","sequence":"additional","affiliation":[]},{"given":"Dae Ha","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Byung","family":"Cheol Song","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"425","article-title":"Peak-piloted deep network for facial expression recognition","author":"zhao","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3143009"},{"key":"ref33","article-title":"The kinetics human action video dataset","author":"kay","year":"2017","journal-title":"arXiv preprint arXiv 1705 06950"},{"key":"ref32","first-page":"1725","article-title":"Large-scale video classification with convolutional neural networks","author":"karpathy","year":"2014","journal-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref37","article-title":"Automatic differentitation in pytorch","author":"paszke","year":"2017","journal-title":"NIPS-W"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2547397"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5244\/C.22.99"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1110"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.99"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.341"},{"key":"ref11","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997632"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3143011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2017.01.012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2461544"},{"key":"ref17","first-page":"85","article-title":"Visualizing data using t-sne","volume":"9","author":"van der maaten","year":"2008","journal-title":"JMLR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2515606"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7284869"},{"key":"ref28","first-page":"18","article-title":"Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet","author":"hara","year":"2018","journal-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2997638"},{"key":"ref27","first-page":"143","article-title":"Deeply learning deformable facial action parts model for dynamic expression analysis","author":"liu","year":"2014","journal-title":"Asian Conference on Computer Vision"},{"key":"ref3","article-title":"Deep temporal appearance-geometry network for facial expression recognition","author":"jung","year":"2015","journal-title":"arXiv preprint arXiv 1503"},{"key":"ref6","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"chung","year":"2014","journal-title":"arXiv preprint arXiv 1412 3555"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3136755.3143005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00231"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.02.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477450"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1291233.1291311"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2666274"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2011.5771416"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2014.7041505"},{"key":"ref42","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"ICML"},{"key":"ref24","first-page":"3","article-title":"Video frame interpolation via adaptive convolution","volume":"1","author":"niklaus","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00068"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2012.26"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/2522848.2531738"},{"key":"ref26","first-page":"117","article-title":"Challenges in representation learning: A report on three machine learning contests","author":"goodfellow","year":"0"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.226"},{"key":"ref25","first-page":"3","article-title":"Densely connected convolutional networks","volume":"1","author":"huang","year":"2017","journal-title":"Proceedings of IEEE Conference on Computer Vision and Pattern Recognition"}],"event":{"name":"2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)","location":"Lille, France","start":{"date-parts":[[2019,5,14]]},"end":{"date-parts":[[2019,5,18]]}},"container-title":["2019 14th IEEE International Conference on Automatic Face &amp; Gesture Recognition (FG 2019)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8753205\/8756505\/08756551.pdf?arnumber=8756551","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:16Z","timestamp":1658094676000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8756551\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/fg.2019.8756551","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}