{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T20:20:01Z","timestamp":1725654001357},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icip.2018.8451616","type":"proceedings-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T17:59:22Z","timestamp":1536343162000},"page":"2032-2036","source":"Crossref","is-referenced-by-count":2,"title":["Adversarial Spatial Frequency Domain Critic Learning for Age and Gender Classification"],"prefix":"10.1109","author":[{"given":"Sangmin S.","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hak Gu","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kihyun","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong Man","family":"Ro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Faster r-cnn: towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301352"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952703"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/978-3-319-61657-5_8","article-title":"DeepGender 2: A generative approach toward occlusion and low resolution robust facial gender classification via progressively trained attention shift convolutional neural networks (PTAS-CNN) and deep convolutional generative adversarial networks (DCGAN)","author":"juefei-xu","year":"2017","journal-title":"Deep Learning for Biometrics"},{"journal-title":"Unsuper-vised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.141"},{"journal-title":"Labeled Faces in the Wild A Database for Studying Face Recognition in Unconstrained Environments","year":"2007","author":"huang","key":"ref16"},{"journal-title":"Labeled faces in the wild Updates and new reporting proceduRes","year":"2014","author":"huang","key":"ref17"},{"journal-title":"Improving Neural Networks by Preventing Co-adaptation of Feature Detectors","year":"2012","author":"hinton","key":"ref18"},{"key":"ref19","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2009.5339053"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.244"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359646"},{"journal-title":"Striving for simplicity The all convolutional net","year":"2014","author":"springenberg","key":"ref8"},{"key":"ref7","first-page":"1087","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref2","first-page":"165","article-title":"Genetic feature subset selection for gender classification: a comparison study","author":"sun","year":"2002","journal-title":"IEEE Workshop on Application of Computer Vision"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77409-9_14"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299058"}],"event":{"name":"2018 25th IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2018,10,7]]},"location":"Athens","end":{"date-parts":[[2018,10,10]]}},"container-title":["2018 25th IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8436606\/8451009\/08451616.pdf?arnumber=8451616","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T10:15:14Z","timestamp":1643192114000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8451616\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icip.2018.8451616","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}