{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T16:12:35Z","timestamp":1758125555705,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1109\/icip.2018.8451428","type":"proceedings-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T17:59:22Z","timestamp":1536343162000},"page":"1073-1077","source":"Crossref","is-referenced-by-count":2,"title":["Unsupervised Learning for Forecasting Action Representations"],"prefix":"10.1109","author":[{"given":"Yi","family":"Zhong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Shi","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"ICLRE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.522"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298878"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref15"},{"key":"ref16","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref17","article-title":"Red: Reinforced encoder-decoder networks for action prediction","author":"gao","year":"2017","journal-title":"B-MVC"},{"key":"ref18","article-title":"Visual forecasting by imitaing dynamics in natural sequences","author":"zeng","year":"2017","journal-title":"ICCV"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.390"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref6","first-page":"843","article-title":"Unsupervised learning of video representations using lstm","volume":"37","author":"srivastava","year":"2015","journal-title":"ICML"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.712"},{"key":"ref8","article-title":"Antici-pating visual representations from unlabeled video","author":"vondrick","year":"2016","journal-title":"CVPR"},{"journal-title":"Video (language) modeling a baseline for generative models of natural videos","year":"2015","author":"ranzato","key":"ref7"},{"key":"ref2","first-page":"280","article-title":"Real-time rgb-d activity prediction by soft regression","year":"2016","journal-title":"ECCV"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126349"},{"key":"ref9","article-title":"Two-stream convolutional networks for action recognition in videos","author":"simonyan","year":"2014","journal-title":"NIPS"}],"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\/08451428.pdf?arnumber=8451428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T09:19:35Z","timestamp":1643188775000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8451428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/icip.2018.8451428","relation":{},"subject":[],"published":{"date-parts":[[2018,10]]}}}