{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T05:06:58Z","timestamp":1755839218383,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561490","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"4288-4294","source":"Crossref","is-referenced-by-count":13,"title":["MDANet: Multi-Modal Deep Aggregation Network for Depth Completion"],"prefix":"10.1109","author":[{"given":"Yanjie","family":"Ke","sequence":"first","affiliation":[]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Zhenbo","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Dayang","family":"Hao","sequence":"additional","affiliation":[]},{"given":"Liusheng","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Gang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Computer Science"},{"key":"ref38","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref33","first-page":"1","article-title":"Erfnet: Efficient residual factorized convnet for real-time semantic segmentation","volume":"pp","author":"romera","year":"2017","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1158"},{"key":"ref31","first-page":"2528","article-title":"Multimodal attention for fusion of audio and spatiotemporal features for video description","author":"hori","year":"2018","journal-title":"CVPR Workshops"},{"key":"ref30","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58583-9_43","article-title":"3d-cvf: Generating joint camera and lidar features using cross-view spatial feature fusion for 3d object detection","author":"yoo","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"article-title":"Bisenet v2: Bilateral network with guided aggregation for real-time semantic segmentation","year":"2020","author":"yu","key":"ref34"},{"article-title":"Adaptive contextaware multi-modal network for depth completion","year":"2020","author":"zhao","key":"ref10"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00274"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.01012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00343"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"article-title":"Densenet: Implementing efficient convnet descriptor pyramids","year":"2014","author":"iandola","key":"ref16"},{"key":"ref17","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"},{"key":"ref19","first-page":"483","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref28","first-page":"4700","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-58601-0_8","article-title":"Non-local spatial propagation network for depth completion","author":"park","year":"2020"},{"article-title":"Network in network","year":"2013","author":"lin","key":"ref27"},{"key":"ref3","first-page":"185","article-title":"Ga-net: Guided aggregation net for end-to-end stereo matching","author":"zhang","year":"2019","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2960589"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00290"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.23919\/MVA.2019.8757939"},{"article-title":"Learning guided convolutional network for depth completion","year":"2019","author":"tang","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00214"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093407"},{"key":"ref1","volume":"102","author":"weitkamp","year":"2006","journal-title":"Lidar Range-Resolved Optical Remote Sensing of the Atmosphere"},{"article-title":"Learning depth with convolutional spatial propagation network","year":"2018","author":"cheng","key":"ref20"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"3354","DOI":"10.1109\/CVPR.2012.6248074","article-title":"Are we ready for autonomous driving? the kitti vision benchmark suite","author":"geiger","year":"2012","journal-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6635"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929170"},{"article-title":"Propagating confidences through cnns for sparse data regression","year":"2018","author":"eldesokey","key":"ref24"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00347"},{"key":"ref23","first-page":"175","article-title":"Deep depth completion of a single rgbd image","author":"zhang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3008404"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_22"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","start":{"date-parts":[[2021,5,30]]},"location":"Xi'an, China","end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561490.pdf?arnumber=9561490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,12]],"date-time":"2023-01-12T22:54:05Z","timestamp":1673564045000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561490","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}