{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:08:53Z","timestamp":1729631333451,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"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":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671493","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"4211-4219","source":"Crossref","is-referenced-by-count":4,"title":["UAV-VQG: Visual Question Generation Framework on UAV Images"],"prefix":"10.1109","author":[{"given":"Argho","family":"Sarkar","sequence":"first","affiliation":[]},{"given":"Maryam","family":"Rahnemoonfar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00211"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1170"},{"key":"ref31","first-page":"1763","article-title":"A reinforcement learning framework for natural question generation using bi-discriminators","author":"fan","year":"0"},{"article-title":"Automatic generation of grounded visual questions","year":"2016","author":"zhang","key":"ref30"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTCOMP52413.2021.00027"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MDAT.2021.3079318"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.alvr-1.3"},{"key":"ref13","first-page":"4971","article-title":"Don&#x2019;t just assume; look and answer: Overcoming priors for visual question answering","author":"agrawal","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01251"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3090981"},{"key":"ref16","article-title":"Vqa-med: Overview of the medical visual question answering task at imageclef 2019","author":"abacha","year":"2019","journal-title":"Working Notes of CLEF"},{"article-title":"Visual question answering: A deep interactive framework for post-disaster management and damage assessment","year":"0","author":"sarkar","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS47720.2021.9553578"},{"article-title":"Google&#x2019;s neural machine translation system: Bridging the gap between human and machine translation","year":"2016","author":"wu","key":"ref19"},{"article-title":"Neural discrete representation learning","year":"2017","author":"oord","key":"ref28"},{"article-title":"Deep captioning with multimodal recurrent neural networks (m-rnn)","year":"2014","author":"mao","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412727"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"article-title":"Representation learning with contrastive predictive coding","year":"2018","author":"oord","key":"ref29"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"devlin","key":"ref5"},{"article-title":"Neural self talk: Image understanding via continuous questioning and answering","year":"2015","author":"yang","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00640"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.202"},{"article-title":"Image-grounded conversations: Multimodal context for natural question and response generation","year":"2017","author":"mostafazadeh","key":"ref9"},{"key":"ref1","article-title":"Visual question answering","author":"antol","year":"2015","journal-title":"ICCV"},{"article-title":"Neural machine translation by jointly learning to align and translate","year":"2014","author":"bahdanau","key":"ref20"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10983","article-title":"A hierarchical latent variable encoder-decoder model for generating dialogues","volume":"31","author":"serban","year":"2017","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/K17-2005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.575"},{"key":"ref23","first-page":"1727","article-title":"Neural variational inference for text processing","volume":"48","author":"miao","year":"0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00063"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00351"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2021,12,15]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671493.pdf?arnumber=9671493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,22]],"date-time":"2023-01-22T22:04:45Z","timestamp":1674425085000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671493\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671493","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}