{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:36:38Z","timestamp":1779381398606,"version":"3.53.1"},"reference-count":31,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/avss.2018.8639378","type":"proceedings-article","created":{"date-parts":[[2019,2,14]],"date-time":"2019-02-14T23:30:26Z","timestamp":1550187026000},"page":"1-6","source":"Crossref","is-referenced-by-count":13,"title":["Adapting MobileNets for mobile based upper body pose estimation"],"prefix":"10.1109","author":[{"given":"Bappaditya","family":"Debnath","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mary","family":"O'Brien","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Motonori","family":"Yamaguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ardhendu","family":"Behera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"NIPS"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995741"},{"key":"ref10","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref11","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref12","article-title":"Network in network","author":"lin","year":"2013"},{"key":"ref13","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"ECCV"},{"key":"ref14","article-title":"Knowledge-guided deep fractal neural networks for human pose estimation","author":"ning","year":"2017","journal-title":"IEEE Transactions on Multimedia"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.395"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.533"},{"key":"ref17","first-page":"33","article-title":"Pose machines: Articulated pose estimation via inference machines","author":"ramakrishna","year":"2014","journal-title":"ECCV"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref28","first-page":"1","article-title":"Human pose estimation via improved resnet50","author":"xiao","year":"2017","journal-title":"ICSSC 2017"},{"key":"ref4","article-title":"Rcnns for pose estimation and action detection","author":"gkioxari","year":"2014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.511"},{"key":"ref3","first-page":"1251","author":"chollet","year":"2017","journal-title":"Xception Deep learning with depthwise separable convolutions"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.144"},{"key":"ref5","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-01216-8_44","article-title":"Multi-scale structure-aware network for human pose estimation","author":"ke","year":"2018"},{"key":"ref7","article-title":"Squeezenet: Alexnet-level accuracy with 50× fewer parameters and¡ 0.5 mb model size","author":"iandola","year":"2016"},{"key":"ref2","first-page":"1736","article-title":"Articulated pose estimation by a graphical model with image dependent pairwise relations","author":"chen","year":"2014","journal-title":"NIPS"},{"key":"ref9","article-title":"Novel dataset for fine-grained image categorization","author":"khosla","year":"2011","journal-title":"CVPR Workshop"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.143"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.471"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref21","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref24","first-page":"12","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"2017","journal-title":"AAAI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.214"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298664"}],"event":{"name":"2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","location":"Auckland, New Zealand","start":{"date-parts":[[2018,11,27]]},"end":{"date-parts":[[2018,11,30]]}},"container-title":["2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8637085\/8639076\/08639378.pdf?arnumber=8639378","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T05:40:24Z","timestamp":1643262024000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8639378\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/avss.2018.8639378","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}