{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:59:04Z","timestamp":1767034744180,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Horizon 2020","award":["825469"],"award-info":[{"award-number":["825469"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3551595","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:12Z","timestamp":1665416592000},"page":"7140-7144","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["A Combination of Visual-Semantic Reasoning and Text Entailment-based Boosting Algorithm for Cheapfake Detection"],"prefix":"10.1145","author":[{"given":"Tuan-Vinh","family":"La","sequence":"first","affiliation":[{"name":"University of Information Technology, Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minh-Son","family":"Dao","sequence":"additional","affiliation":[{"name":"National Institute of Information and Communications Technology, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quang-Tien","family":"Tran","sequence":"additional","affiliation":[{"name":"University of Science, Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thanh-Phuc","family":"Tran","sequence":"additional","affiliation":[{"name":"University of Science, Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anh-Duy","family":"Tran","sequence":"additional","affiliation":[{"name":"University of Science, Vietnam National University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duc-Tien","family":"Dang-Nguyen","sequence":"additional","affiliation":[{"name":"University of Bergen, Bergen, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458305.3479968"},{"key":"e_1_3_2_2_2_1","volume-title":"COSMOS: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278","author":"Aneja Shivangi","year":"2021","unstructured":"Shivangi Aneja , Chris Bregler , and Matthias Nie\u00dfner . 2021 a. COSMOS: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021). Shivangi Aneja, Chris Bregler, and Matthias Nie\u00dfner. 2021a. COSMOS: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021)."},{"key":"e_1_3_2_2_3_1","volume-title":"Paal Halvorsen, Matthias Nie\u00dfner, Balu Adsumilli, and Chris Bregler.","author":"Aneja Shivangi","year":"2021","unstructured":"Shivangi Aneja , Cise Midoglu , Duc-Tien Dang-Nguyen , Michael Alexander Riegler , Paal Halvorsen, Matthias Nie\u00dfner, Balu Adsumilli, and Chris Bregler. 2021 b. MMSys' 21 grand challenge on detecting cheapfakes. arXiv preprint arXiv:2107.05297 (2021). Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Paal Halvorsen, Matthias Nie\u00dfner, Balu Adsumilli, and Chris Bregler. 2021b. MMSys' 21 grand challenge on detecting cheapfakes. arXiv preprint arXiv:2107.05297 (2021)."},{"key":"e_1_3_2_2_4_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_2_5_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_6_1","volume-title":"Jamie Ryan Kiros, and Sanja Fidler","author":"Faghri Fartash","year":"2017","unstructured":"Fartash Faghri , David J Fleet , Jamie Ryan Kiros, and Sanja Fidler . 2017 . Vse : Improving visual-semantic embeddings with hard negatives. arXiv preprint arXiv:1707.05612 (2017). Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler. 2017. Vse: Improving visual-semantic embeddings with hard negatives. arXiv preprint arXiv:1707.05612 (2017)."},{"key":"e_1_3_2_2_7_1","volume-title":"Out-of-context photos are a powerful low-tech form of misinformation. The Conversation","author":"Fazio Lisa","year":"2020","unstructured":"Lisa Fazio . 2020. Out-of-context photos are a powerful low-tech form of misinformation. The Conversation ( 2020 ). Lisa Fazio. 2020. Out-of-context photos are a powerful low-tech form of misinformation. The Conversation (2020)."},{"key":"e_1_3_2_2_8_1","volume-title":"Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). The annals of statistics","author":"Friedman Jerome","year":"2000","unstructured":"Jerome Friedman , Trevor Hastie , and Robert Tibshirani . 2000. Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). The annals of statistics , Vol. 28 , 2 ( 2000 ), 337--407. Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 2000. Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors). The annals of statistics, Vol. 28, 2 (2000), 337--407."},{"key":"e_1_3_2_2_9_1","volume-title":"Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654","author":"He Pengcheng","year":"2020","unstructured":"Pengcheng He , Xiaodong Liu , Jianfeng Gao , and Weizhu Chen . 2020 . Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654 (2020). Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020. Deberta: Decoding-enhanced bert with disentangled attention. arXiv preprint arXiv:2006.03654 (2020)."},{"key":"e_1_3_2_2_10_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata Joshua Kravitz Stephanie Chen Yannis Kalantidis Li-Jia Li David A Shamma etal 2017. Visual genome: Connecting language and vision using crowdsourced dense image annotations. International journal of computer vision Vol. 123 1 (2017) 32--73.  Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata Joshua Kravitz Stephanie Chen Yannis Kalantidis Li-Jia Li David A Shamma et al. 2017. Visual genome: Connecting language and vision using crowdsourced dense image annotations. International journal of computer vision Vol. 123 1 (2017) 32--73.","DOI":"10.1007\/s11263-016-0981-7"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_13"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00475"},{"key":"e_1_3_2_2_14_1","volume-title":"Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems","author":"Ren Shaoqing","year":"2015","unstructured":"Shaoqing Ren , Kaiming He , Ross Girshick , and Jian Sun . 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems , Vol. 28 ( 2015 ). Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, Vol. 28 (2015)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.3008390"},{"key":"e_1_3_2_2_16_1","volume-title":"A broad-coverage challenge corpus for sentence understanding through inference. arXiv preprint arXiv:1704.05426","author":"Williams Adina","year":"2017","unstructured":"Adina Williams , Nikita Nangia , and Samuel R Bowman . 2017. A broad-coverage challenge corpus for sentence understanding through inference. arXiv preprint arXiv:1704.05426 ( 2017 ). Adina Williams, Nikita Nangia, and Samuel R Bowman. 2017. A broad-coverage challenge corpus for sentence understanding through inference. arXiv preprint arXiv:1704.05426 (2017)."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3551595","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3551595","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:18Z","timestamp":1750182558000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3551595"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":16,"alternative-id":["10.1145\/3503161.3551595","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3551595","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}