{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T11:39:05Z","timestamp":1782301145834,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T00:00:00Z","timestamp":1508371200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1317376"],"award-info":[{"award-number":["1317376"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61625201"],"award-info":[{"award-number":["61625201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,19]]},"DOI":"10.1145\/3123266.3129396","type":"proceedings-article","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T13:04:26Z","timestamp":1508504666000},"page":"1221-1224","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":150,"title":["UnrealCV"],"prefix":"10.1145","author":[{"given":"Weichao","family":"Qiu","sequence":"first","affiliation":[{"name":"Johns Hopkins University, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangwei","family":"Zhong","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Johns Hopkins University, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyuan","family":"Qiao","sequence":"additional","affiliation":[{"name":"Johns Hopkins University, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zihao","family":"Xiao","sequence":"additional","affiliation":[{"name":"Johns Hopkins University, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tae Soo","family":"Kim","sequence":"additional","affiliation":[{"name":"Johns Hopkins University, Baltimore, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yizhou","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,10,19]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"arXiv:arXiv:1606.01540","author":"Brockman Greg","year":"2016","unstructured":"Greg Brockman , Vicki Cheung , Ludwig Pettersson , Jonas Schneider , John Schulman , Jie Tang , and Wojciech Zaremba . 2016. Open AI Gym . ( 2016 ). arXiv:arXiv:1606.01540 Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. OpenAI Gym. (2016). arXiv:arXiv:1606.01540"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33783-3_44"},{"key":"e_1_3_2_1_3_1","volume-title":"IJCAI International Joint Conference on Artificial Intelligence 2016-January","author":"Johnson Matthew","year":"2016","unstructured":"Matthew Johnson , Katja Hofmann , Tim Hutton , and David Bignell . 2016 . The malmo platform for artificial intelligence experimentation . IJCAI International Joint Conference on Artificial Intelligence 2016-January (2016), 4246--4247. Matthew Johnson, Katja Hofmann, Tim Hutton, and David Bignell. 2016. The malmo platform for artificial intelligence experimentation. IJCAI International Joint Conference on Artificial Intelligence 2016-January (2016), 4246--4247."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2016.7860433"},{"key":"e_1_3_2_1_5_1","unstructured":"Adam Lerer Sam Gross and Rob Fergus. 2016. Learning Physical Intuition of Block Towers by Example. (2016). arXiv:1603.01312 http:\/\/arxiv.org\/abs\/1603. 01312  Adam Lerer Sam Gross and Rob Fergus. 2016. Learning Physical Intuition of Block Towers by Example. (2016). arXiv:1603.01312 http:\/\/arxiv.org\/abs\/1603. 01312"},{"key":"e_1_3_2_1_6_1","volume-title":"ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. arXiv preprint arXiv:1704.06752","author":"Qiao Siyuan","year":"2017","unstructured":"Siyuan Qiao , Wei Shen , Weichao Qiu , Chenxi Liu , and Alan Yuille . 2017. ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. arXiv preprint arXiv:1704.06752 ( 2017 ). Siyuan Qiao, Wei Shen, Weichao Qiu, Chenxi Liu, and Alan Yuille. 2017. ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond. arXiv preprint arXiv:1704.06752 (2017)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_75"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.352"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Shital Shah Debadeepta Dey Chris Lovett and Ashish Kapoor. 2017. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. (2017). arXiv:arXiv:1705.05065  Shital Shah Debadeepta Dey Chris Lovett and Ashish Kapoor. 2017. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles. (2017). arXiv:arXiv:1705.05065","DOI":"10.1007\/978-3-319-67361-5_40"},{"key":"e_1_3_2_1_10_1","volume-title":"UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. arXiv preprint arXiv:1612.04647","author":"Zhang Yi","year":"2016","unstructured":"Yi Zhang , Weichao Qiu , Qi Chen , Xiaolin Hu , and Alan Yuille . 2016. UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. arXiv preprint arXiv:1612.04647 ( 2016 ). Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, and Alan Yuille. 2016. UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. arXiv preprint arXiv:1612.04647 (2016)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989381"}],"event":{"name":"MM '17: ACM Multimedia Conference","location":"Mountain View California USA","acronym":"MM '17","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 25th ACM international conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3129396","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3123266.3129396","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3123266.3129396","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:13:35Z","timestamp":1750212815000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3123266.3129396"}},"subtitle":["Virtual Worlds for Computer Vision"],"short-title":[],"issued":{"date-parts":[[2017,10,19]]},"references-count":11,"alternative-id":["10.1145\/3123266.3129396","10.1145\/3123266"],"URL":"https:\/\/doi.org\/10.1145\/3123266.3129396","relation":{},"subject":[],"published":{"date-parts":[[2017,10,19]]},"assertion":[{"value":"2017-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}