{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:22:02Z","timestamp":1761582122322,"version":"3.28.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506047","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T17:08:41Z","timestamp":1629738521000},"page":"240-244","source":"Crossref","is-referenced-by-count":21,"title":["Face Mask Aware Robust Facial Expression Recognition During The Covid-19 Pandemic"],"prefix":"10.1109","author":[{"given":"Bo","family":"Yang","sequence":"first","affiliation":[{"name":"KDDI Research,Inc.,Japan"}]},{"given":"Wu","family":"Jianming","sequence":"additional","affiliation":[{"name":"KDDI Research,Inc.,Japan"}]},{"given":"Gen","family":"Hattori","sequence":"additional","affiliation":[{"name":"KDDI Research,Inc.,Japan"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1","article-title":"Occlusionadaptive deep network for robust facial expression recognition","author":"ding","year":"2020","journal-title":"2020 IEEE International Joint Conference on Biometrics (IJCB)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2868382"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2993148.2993165"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3428361.3432075"},{"key":"ref15","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","volume":"abs 1704 4861","author":"howard","year":"2017","journal-title":"ArXiv"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"International Conference on Learning Representations(ICLR)"},{"key":"ref17","article-title":"Deep-emotion: Facial expression recognition using attentional convolutional network","volume":"abs 1902 1019","author":"minaee","year":"2019","journal-title":"ArXiv"},{"key":"ref18","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"13th European Conference on Computer Vision"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2965989"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1167\/14.13.14"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3158369"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.79"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2928125"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886767"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.67"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2020.566886"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2956143"},{"key":"ref20","article-title":"Masked face recognition dataset and application","volume":"abs 2003 9093","author":"wang","year":"2020","journal-title":"ArXiv"},{"key":"ref21","first-page":"1","article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Workshop on Faces in &#x2018;Real-Life&#x2019; Images Detection Alignment and Recognition"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506047.pdf?arnumber=9506047","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T17:09:57Z","timestamp":1655140197000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506047\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506047","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}