{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T21:16:10Z","timestamp":1773868570973,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"MeitY, Government of India","award":["4(16)\/2019-ITEA"],"award-info":[{"award-number":["4(16)\/2019-ITEA"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1109\/tai.2022.3172272","type":"journal-article","created":{"date-parts":[[2022,5,3]],"date-time":"2022-05-03T16:17:56Z","timestamp":1651594676000},"page":"349-361","source":"Crossref","is-referenced-by-count":20,"title":["Landmark-Aware and Part-Based Ensemble Transfer Learning Network for Static Facial Expression Recognition from Images"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8100-668X","authenticated-orcid":false,"given":"Rohan","family":"Wadhawan","sequence":"first","affiliation":[{"name":"Computer Science and Engineering Department, Netaji Subhas Institute of Technology, Netaji Subhas University of Technology, New Delhi, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3532-9389","authenticated-orcid":false,"given":"Tapan K.","family":"Gandhi","sequence":"additional","affiliation":[{"name":"Electrical Engineering Department, Indian Institute of Technology Delhi, IIT Campus, New Delhi, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130508"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2012.26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-42051-1_16"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3054609"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830593"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2522848.2531745"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830590"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830595"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2753235"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2014.21"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2689999"},{"key":"ref15","article-title":"Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition","author":"Pons","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195179644.001.0001"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.233"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2013.6553734"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.02.011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.12"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.23"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2064176"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.07.007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.04.011"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.08.005"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2014.2321113"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2829994"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.226"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477450"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2830587"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-36181-2_25"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-336156-1.50061-6"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"issue":"11","key":"ref36","first-page":"120","article-title":"The OpenCV library","volume-title":"Dr Dobbs J. Softw. Tools","volume":"25","author":"Bradski","year":"2000"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/34.927467"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029666.37597.d3"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.04.014"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.241"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.002"},{"key":"ref42","article-title":"Deep learning using rectified linear units (ReLu)","author":"Agarap","year":"2018"},{"key":"ref43","first-page":"1867","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Ioffe","year":"2015"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref45","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist.","author":"Glorot","year":"2010"},{"key":"ref46","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.08.043"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00231"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.03.019"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.06.014"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08443-x"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01855-5"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/s21093046"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.79"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00051"},{"key":"ref56","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10081152\/09767587.pdf?arnumber=9767587","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:08:44Z","timestamp":1755911324000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9767587\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":57,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tai.2022.3172272","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4]]}}}