{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:16:24Z","timestamp":1761581784809,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/icarcv.2018.8581172","type":"proceedings-article","created":{"date-parts":[[2019,1,9]],"date-time":"2019-01-09T18:57:00Z","timestamp":1547060220000},"page":"394-399","source":"Crossref","is-referenced-by-count":5,"title":["SceneEDNet: A Deep Learning Approach for Scene Flow Estimation"],"prefix":"10.1109","author":[{"given":"Ravi Kumar","family":"Thakur","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Snehasis","family":"Mukherjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.162"},{"key":"ref11","first-page":"3129","article-title":"Scene flow estimation by growing correspondence seeds","author":"?ech","year":"2011","journal-title":"CVPR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-012-0542-7"},{"key":"ref13","article-title":"Nrsfm-flow: Recovering non-rigid scene flow from monocular image sequences","author":"golyanik","year":"2016","journal-title":"BMVC"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.1109\/3DV.2017.00039","article-title":"Multiframe scene flow with piecewise rigid motion","author":"golyanik","year":"2017","journal-title":"International Conference on 3D Vision (3DV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref16","first-page":"2","article-title":"Stereo matching by training a convolutional neural network to compare image patches","volume":"17","author":"zbontar","year":"2016","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","first-page":"2366","article-title":"Depth map prediction from a single image using a multi-scale deep network","author":"eigen","year":"2014","journal-title":"Advances in neural information processing systems"},{"journal-title":"Flownet Learning optical flow with convolutional networks","year":"2015","author":"fischer","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.179"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790293"},{"key":"ref3","article-title":"End-to-end recovery of human shape and pose","author":"kanazawa","year":"2018","journal-title":"CVPR"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298925"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.174"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_37"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409000"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.438"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298653"},{"key":"ref1","article-title":"Scene flow estimation: A survey","volume":"abs 1612 2590","author":"yan","year":"2016","journal-title":"CoRR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.291"},{"key":"ref22","article-title":"A naturalistic open source movie for optical flow evaluation","author":"butler","year":"0","journal-title":"ECCV"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014573219977"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-658-21300-8_8"},{"journal-title":"ShapeNet An Information-Rich 3D Model Repository","year":"0","author":"chang","key":"ref23"},{"journal-title":"Keras","year":"2015","key":"ref25"}],"event":{"name":"2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)","start":{"date-parts":[[2018,11,18]]},"location":"Singapore","end":{"date-parts":[[2018,11,21]]}},"container-title":["2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8564369\/8580630\/08581172.pdf?arnumber=8581172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T22:15:35Z","timestamp":1598220935000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8581172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icarcv.2018.8581172","relation":{},"subject":[],"published":{"date-parts":[[2018,11]]}}}