{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:05:26Z","timestamp":1740099926527,"version":"3.37.3"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006831","name":"United States Air Force","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006831","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9341251","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:49:56Z","timestamp":1615819796000},"page":"8125-8132","source":"Crossref","is-referenced-by-count":6,"title":["Uncertainty-aware Self-supervised 3D Data Association"],"prefix":"10.1109","author":[{"given":"Jianren","family":"Wang","sequence":"first","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA,15213"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siddharth","family":"Ancha","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA,15213"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"Honda Research Institute,Mountain View,CA,USA,94043"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Held","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University,Robotics Institute,Pittsburgh,PA,USA,15213"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"3D Multi-Object Tracking: A Baseline and New Evaluation Metrics","author":"weng","year":"2020","journal-title":"IROS"},{"key":"ref30","article-title":"Combining semantic and geometric understanding for modern visual recognition tasks","author":"chen","year":"2020","journal-title":"Master’s thesis"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_24"},{"key":"ref11","first-page":"2536","article-title":"Context encoders: Feature learning by inpainting","author":"pathak","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Adversarial feature learning","year":"2016","author":"donahue","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48881-3_56"},{"key":"ref14","first-page":"459","article-title":"Triplet loss in siamese network for object tracking","author":"dong","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.320"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00245"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00145"},{"article-title":"Efficient tracking proposals using 2d-3d siamese networks on lidar","year":"2019","author":"zarzar","key":"ref18"},{"key":"ref19","first-page":"1109","article-title":"Large scale online learning of image similarity through ranking","volume":"11","author":"chechik","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref28","first-page":"652","article-title":"Pointnet: Deep learning on point sets for 3d classification and segmentation","author":"qi","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"Unsupervised representation learning by predicting image rotations","year":"2018","author":"gidaris","key":"ref4"},{"article-title":"Class-balanced grouping and sampling for point cloud 3d object detection","year":"2019","author":"zhu","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2496141"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.628"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref29"},{"key":"ref5","first-page":"69","article-title":"Unsupervised learning of visual representations by solving jigsaw puzzles","author":"noroozi","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00840"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.607"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00798"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_40"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00376"},{"article-title":"Probabilistic 3d multi-object tracking for autonomous driving","year":"2020","author":"chiu","key":"ref20"},{"article-title":"MOTChallenge 2015: Towards a benchmark for multi-target tracking","year":"0","author":"leal-taix\u00e9","key":"ref22"},{"key":"ref21","article-title":"On the generalized distance in statistics","author":"mahalanobis","year":"1936","journal-title":"P Nat Inst Sci India"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.167"},{"key":"ref23","first-page":"761","article-title":"Training region-based object detectors with online hard example mining","author":"shrivastava","year":"2016","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"article-title":"nuscenes: A multimodal dataset for autonomous driving","year":"2019","author":"caesar","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2020,10,24]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09341251.pdf?arnumber=9341251","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:03Z","timestamp":1656453423000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9341251\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9341251","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}