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[1] Jens Lehmann,et al. DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.
[2] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[3] Tiejun Zhao,et al. Deep Attention Neural Tensor Network for Visual Question Answering , 2018, ECCV.
[4] Ali Farhadi,et al. OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Licheng Yu,et al. TVQA: Localized, Compositional Video Question Answering , 2018, EMNLP.
[6] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Kyunghyun Cho,et al. Passage Re-ranking with BERT , 2019, ArXiv.
[8] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[9] Ali Farhadi,et al. From Recognition to Cognition: Visual Commonsense Reasoning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Li Fei-Fei,et al. Building a Large-scale Multimodal Knowledge Base System for Answering Visual Queries , 2015 .
[11] Tegan Maharaj,et al. A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Sanja Fidler,et al. MovieQA: Understanding Stories in Movies through Question-Answering , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Bohyung Han,et al. MarioQA: Answering Questions by Watching Gameplay Videos , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[14] Yale Song,et al. TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Matthieu Cord,et al. MUTAN: Multimodal Tucker Fusion for Visual Question Answering , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Margaret Mitchell,et al. VQA: Visual Question Answering , 2015, International Journal of Computer Vision.
[17] Byoung-Tak Zhang,et al. DeepStory: Video Story QA by Deep Embedded Memory Networks , 2017, IJCAI.
[18] Andrew Zisserman,et al. From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script , 2017, BMVC.
[19] Lei Zhang,et al. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[21] Chunhua Shen,et al. Explicit Knowledge-based Reasoning for Visual Question Answering , 2015, IJCAI.
[22] Mirella Lapata,et al. Whodunnit? Crime Drama as a Case for Natural Language Understanding , 2018, Transactions of the Association for Computational Linguistics.
[23] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[24] Partha Pratim Talukdar,et al. KVQA: Knowledge-Aware Visual Question Answering , 2019, AAAI.
[25] Yash Goyal,et al. Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[27] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[28] Qi Wu,et al. FVQA: Fact-Based Visual Question Answering , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Peng Wang,et al. Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[32] Wei Zhang,et al. R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering , 2018, KDD.
[33] Yi Yang,et al. Uncovering the Temporal Context for Video Question Answering , 2017, International Journal of Computer Vision.