{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:50:04Z","timestamp":1769820604723,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,9,1]],"date-time":"2019-09-01T00:00:00Z","timestamp":1567296000000},"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":[[2019,9]]},"DOI":"10.1109\/icip.2019.8803792","type":"proceedings-article","created":{"date-parts":[[2019,8,26]],"date-time":"2019-08-26T15:32:48Z","timestamp":1566833568000},"page":"614-618","source":"Crossref","is-referenced-by-count":5,"title":["Pose Guided Global and Local GAN for Appearance Preserving Human Video Prediction"],"prefix":"10.1109","author":[{"given":"Jilin","family":"Tang","sequence":"first","affiliation":[]},{"given":"Haoji","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Qiang","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Hangguan","family":"Shan","sequence":"additional","affiliation":[]},{"given":"Chuan","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Tony Q. S.","family":"Quek","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014"},{"key":"ref11","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015"},{"key":"ref12","article-title":"Learning to generate long-term future via hierarchical prediction","author":"villegas","year":"2017"},{"key":"ref13","article-title":"Realtime multi-person 2d pose estimation using part affinity fields","author":"cao","year":"2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.494"},{"key":"ref15","article-title":"Future semantic segmentation with convolutional lstm","author":"nabavi","year":"2018"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-24574-4_28","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.310"},{"key":"ref19","article-title":"Learning to discover crossdomain relations with generative adversarial networks","author":"kim","year":"2017"},{"key":"ref4","article-title":"Decomposing motion and content for natural video sequence prediction","author":"villegas","year":"2017"},{"key":"ref3","article-title":"Deep multi-scale video prediction beyond mean square error","author":"mathieu","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.194"},{"key":"ref5","article-title":"Stochastic adversarial video prediction","author":"lee","year":"2018"},{"key":"ref8","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.361"},{"key":"ref2","first-page":"1","article-title":"Unsupervised learning for physical interaction through video prediction","author":"finn","year":"2016","journal-title":"NIPS"},{"key":"ref9","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0"},{"key":"ref1","first-page":"489","article-title":"Look-ahead before you leap: end-to-end active recognition by forcasting the effect of motion","author":"jayaraman","year":"2016","journal-title":"ECCV"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref23","article-title":"Person re-identification by multichannel parts-based cnn with improved triplet loss function","author":"cheng","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.280"}],"event":{"name":"2019 IEEE International Conference on Image Processing (ICIP)","location":"Taipei, Taiwan","start":{"date-parts":[[2019,9,22]]},"end":{"date-parts":[[2019,9,25]]}},"container-title":["2019 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8791230\/8799366\/08803792.pdf?arnumber=8803792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:37:07Z","timestamp":1658144227000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8803792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icip.2019.8803792","relation":{},"subject":[],"published":{"date-parts":[[2019,9]]}}}