{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T11:54:15Z","timestamp":1782993255158,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T00:00:00Z","timestamp":1528156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,6,5]]},"DOI":"10.1145\/3206025.3206054","type":"proceedings-article","created":{"date-parts":[[2018,6,11]],"date-time":"2018-06-11T12:36:20Z","timestamp":1528720580000},"page":"318-325","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Visual Question Answering With a Hybrid Convolution Recurrent Model"],"prefix":"10.1145","author":[{"given":"Philipp","family":"Harzig","sequence":"first","affiliation":[{"name":"University of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Eggert","sequence":"additional","affiliation":[{"name":"University of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rainer","family":"Lienhart","sequence":"additional","affiliation":[{"name":"University of Augsburg, Augsburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,6,5]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"et almbox","author":"Abadi Mart\u00edn","year":"2016","unstructured":"Mart\u00edn Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , et almbox .. 2016 . TensorFlow: A System for Large-Scale Machine Learning. OSDI , Vol. Vol. 16 . 265--283. Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et almbox.. 2016. TensorFlow: A System for Large-Scale Machine Learning. OSDI, Vol. Vol. 16. 265--283."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2001.937654"},{"key":"e_1_3_2_1_4_1","volume-title":"Microsoft COCO captions: Data collection and evaluation server. arXiv preprint arXiv:1504.00325","author":"Chen Xinlei","year":"2015","unstructured":"Xinlei Chen , Hao Fang , Tsung-Yi Lin , Ramakrishna Vedantam , Saurabh Gupta , Piotr Doll\u00e1r , and C Lawrence Zitnick . 2015. Microsoft COCO captions: Data collection and evaluation server. arXiv preprint arXiv:1504.00325 ( 2015 ). Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Doll\u00e1r, and C Lawrence Zitnick. 2015. Microsoft COCO captions: Data collection and evaluation server. arXiv preprint arXiv:1504.00325 (2015)."},{"key":"e_1_3_2_1_5_1","volume-title":"Language modeling with gated convolutional networks. arXiv preprint arXiv:1612.08083","author":"Dauphin Yann N","year":"2016","unstructured":"Yann N Dauphin , Angela Fan , Michael Auli , and David Grangier . 2016. Language modeling with gated convolutional networks. arXiv preprint arXiv:1612.08083 ( 2016 ). Yann N Dauphin, Angela Fan, Michael Auli, and David Grangier. 2016. Language modeling with gated convolutional networks. arXiv preprint arXiv:1612.08083 (2016)."},{"key":"e_1_3_2_1_6_1","volume-title":"Peter Young, Cyrus Rashtchian, Julia Hockenmaier, and David Forsyth.","author":"Farhadi Ali","year":"2010","unstructured":"Ali Farhadi , Mohsen Hejrati , Mohammad Amin Sadeghi , Peter Young, Cyrus Rashtchian, Julia Hockenmaier, and David Forsyth. 2010 . Every picture tells a story: Generating sentences from images European conference on computer vision. Springer , 15--29. Ali Farhadi, Mohsen Hejrati, Mohammad Amin Sadeghi, Peter Young, Cyrus Rashtchian, Julia Hockenmaier, and David Forsyth. 2010. Every picture tells a story: Generating sentences from images European conference on computer vision. Springer, 15--29."},{"key":"e_1_3_2_1_7_1","volume-title":"Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach.","author":"Fukui Akira","year":"2016","unstructured":"Akira Fukui , Dong Huk Park , Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach. 2016 . Multimodal compact bilinear pooling for visual question answering and visual grounding. arXiv preprint arXiv:1606.01847 (2016). Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach. 2016. Multimodal compact bilinear pooling for visual question answering and visual grounding. arXiv preprint arXiv:1606.01847 (2016)."},{"key":"e_1_3_2_1_8_1","volume-title":"Convolutional Sequence to Sequence Learning. arXiv preprint arXiv:1705.03122","author":"Gehring Jonas","year":"2017","unstructured":"Jonas Gehring , Michael Auli , David Grangier , Denis Yarats , and Yann N Dauphin . 2017. Convolutional Sequence to Sequence Learning. arXiv preprint arXiv:1705.03122 ( 2017 ). Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin. 2017. Convolutional Sequence to Sequence Learning. arXiv preprint arXiv:1705.03122 (2017)."},{"key":"e_1_3_2_1_9_1","volume-title":"Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering. arXiv preprint arXiv:1612.00837","author":"Goyal Yash","year":"2016","unstructured":"Yash Goyal , Tejas Khot , Douglas Summers-Stay , Dhruv Batra , and Devi Parikh . 2016. Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering. arXiv preprint arXiv:1612.00837 ( 2016 ). Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2016. Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering. arXiv preprint arXiv:1612.00837 (2016)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_13_1","volume-title":"Densecap: Fully convolutional localization networks for dense captioning Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4565--4574.","author":"Johnson Justin","year":"2016","unstructured":"Justin Johnson , Andrej Karpathy , and Li Fei-Fei . 2016 . Densecap: Fully convolutional localization networks for dense captioning Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4565--4574. Justin Johnson, Andrej Karpathy, and Li Fei-Fei. 2016. Densecap: Fully convolutional localization networks for dense captioning Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4565--4574."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3128--3137.  Andrej Karpathy and Li Fei-Fei. 2015. Deep visual-semantic alignments for generating image descriptions Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 3128--3137.","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0981-7"},{"key":"e_1_3_2_1_17_1","volume-title":"Composing simple image descriptions using web-scale n-grams Proceedings of the Fifteenth Conference on Computational Natural Language Learning","author":"Li Siming","unstructured":"Siming Li , Girish Kulkarni , Tamara L Berg , Alexander C Berg , and Yejin Choi . 2011. Composing simple image descriptions using web-scale n-grams Proceedings of the Fifteenth Conference on Computational Natural Language Learning . Association for Computational Linguistics , 220--228. Siming Li, Girish Kulkarni, Tamara L Berg, Alexander C Berg, and Yejin Choi. 2011. Composing simple image descriptions using web-scale n-grams Proceedings of the Fifteenth Conference on Computational Natural Language Learning. Association for Computational Linguistics, 220--228."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_1_19_1","unstructured":"Jiasen Lu Xiao Lin Dhruv Batra and Devi Parikh. 2015. Deeper LSTM and normalized CNN Visual Question Answering model. https:\/\/github.com\/VT-vision-lab\/VQA_LSTM_CNN. (2015).  Jiasen Lu Xiao Lin Dhruv Batra and Devi Parikh. 2015. Deeper LSTM and normalized CNN Visual Question Answering model. https:\/\/github.com\/VT-vision-lab\/VQA_LSTM_CNN. (2015)."},{"key":"e_1_3_2_1_20_1","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. 91--99.   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. 91--99."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"e_1_3_2_1_22_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens and Zbigniew Wojna. 2016. Rethinking the inception architecture for computer vision Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2818--2826.  Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens and Zbigniew Wojna. 2016. Rethinking the inception architecture for computer vision Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2818--2826.","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_24_1","volume-title":"Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. arXiv preprint arXiv:1708.02711","author":"Teney Damien","year":"2017","unstructured":"Damien Teney , Peter Anderson , Xiaodong He , and Anton van den Hengel . 2017. Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. arXiv preprint arXiv:1708.02711 ( 2017 ). Damien Teney, Peter Anderson, Xiaodong He, and Anton van den Hengel. 2017. Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge. arXiv preprint arXiv:1708.02711 (2017)."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298935"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2587640"},{"key":"e_1_3_2_1_27_1","volume-title":"et almbox","author":"Wu Yonghui","year":"2016","unstructured":"Yonghui Wu , Mike Schuster , Zhifeng Chen , Quoc V Le , Mohammad Norouzi , Wolfgang Macherey , Maxim Krikun , Yuan Cao , Qin Gao , Klaus Macherey , et almbox .. 2016 . Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation . arXiv preprint arXiv:1609.08144 (2016). Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, et almbox.. 2016. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. arXiv preprint arXiv:1609.08144 (2016)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.202"},{"key":"e_1_3_2_1_29_1","volume-title":"2017 b. Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering. arXiv preprint arXiv:1708.03619","author":"Yu Zhou","year":"2017","unstructured":"Zhou Yu , Jun Yu , Chenchao Xiang , Jianping Fan , and Dacheng Tao . 2017 b. Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering. arXiv preprint arXiv:1708.03619 ( 2017 ). Zhou Yu, Jun Yu, Chenchao Xiang, Jianping Fan, and Dacheng Tao. 2017 b. Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering. arXiv preprint arXiv:1708.03619 (2017)."},{"key":"e_1_3_2_1_30_1","volume-title":"Simple baseline for visual question answering. arXiv preprint arXiv:1512.02167","author":"Zhou Bolei","year":"2015","unstructured":"Bolei Zhou , Yuandong Tian , Sainbayar Sukhbaatar , Arthur Szlam , and Rob Fergus . 2015. Simple baseline for visual question answering. arXiv preprint arXiv:1512.02167 ( 2015 ). Bolei Zhou, Yuandong Tian, Sainbayar Sukhbaatar, Arthur Szlam, and Rob Fergus. 2015. Simple baseline for visual question answering. arXiv preprint arXiv:1512.02167 (2015)."}],"event":{"name":"ICMR '18: International Conference on Multimedia Retrieval","location":"Yokohama Japan","acronym":"ICMR '18","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3206025.3206054","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3206025.3206054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:08:15Z","timestamp":1750208895000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3206025.3206054"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,5]]},"references-count":29,"alternative-id":["10.1145\/3206025.3206054","10.1145\/3206025"],"URL":"https:\/\/doi.org\/10.1145\/3206025.3206054","relation":{},"subject":[],"published":{"date-parts":[[2018,6,5]]},"assertion":[{"value":"2018-06-05","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}