Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks
暂无分享,去创建一个
Qingming Huang | Zhou Yu | Qi Tian | Ting Yu | Jun Yu | Q. Tian | Zhou Yu | Qingming Huang | Jun Yu | Ting Yu
[1] Meng Wang,et al. Question-Aware Tube-Switch Network for Video Question Answering , 2019, ACM Multimedia.
[2] Chuang Gan,et al. Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering , 2019, AAAI.
[3] Guillaume Lample,et al. Large Memory Layers with Product Keys , 2019, NeurIPS.
[4] Jun Yu,et al. Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks , 2019, IEEE Transactions on Image Processing.
[5] Jun Yu,et al. ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering , 2019, AAAI.
[6] Zhou Yu,et al. Deep Modular Co-Attention Networks for Visual Question Answering , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Jian Yang,et al. Topic-Oriented Image Captioning Based on Order-Embedding , 2019, IEEE Transactions on Image Processing.
[8] Junyeong Kim,et al. Progressive Attention Memory Network for Movie Story Question Answering , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Shu Zhang,et al. Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Carl Doersch,et al. Learning Visual Question Answering by Bootstrapping Hard Attention , 2018, ECCV.
[11] Deng Cai,et al. A Better Way to Attend: Attention With Trees for Video Question Answering , 2018, IEEE Transactions on Image Processing.
[12] Jun Xiao,et al. Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network , 2018, IJCAI.
[13] Zhou Yu,et al. Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks , 2018, IJCAI.
[14] Ming Yang,et al. BSN: Boundary Sensitive Network for Temporal Action Proposal Generation , 2018, ECCV.
[15] Gunhee Kim,et al. A Memory Network Approach for Story-Based Temporal Summarization of 360° Videos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[16] Bo Wang,et al. Movie Question Answering: Remembering the Textual Cues for Layered Visual Contents , 2018, AAAI.
[17] Changshui Zhang,et al. Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[18] Ramakant Nevatia,et al. Motion-Appearance Co-memory Networks for Video Question Answering , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Yueting Zhuang,et al. Video Question Answering via Gradually Refined Attention over Appearance and Motion , 2017, ACM Multimedia.
[20] Yi Yang,et al. Uncovering the Temporal Context for Video Question Answering , 2017, International Journal of Computer Vision.
[21] Zhou Yu,et al. Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[22] Anton van den Hengel,et al. Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Xiaocheng Feng,et al. Effective Deep Memory Networks for Distant Supervised Relation Extraction , 2017, IJCAI.
[24] Yueting Zhuang,et al. Video Question Answering via Hierarchical Spatio-Temporal Attention Networks , 2017, IJCAI.
[25] Xuanjing Huang,et al. Mention Recommendation for Twitter with End-to-end Memory Network , 2017, IJCAI.
[26] 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.
[27] Bernard Ghanem,et al. SST: Single-Stream Temporal Action Proposals , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] 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).
[29] R. Nevatia,et al. TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[30] Juan Carlos Niebles,et al. Leveraging Video Descriptions to Learn Video Question Answering , 2016, AAAI.
[31] Dong Huk Park,et al. Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding , 2016, EMNLP.
[32] Richard Socher,et al. Dynamic Memory Networks for Visual and Textual Question Answering , 2016, ICML.
[33] Michael S. Bernstein,et al. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations , 2016, International Journal of Computer Vision.
[34] José M. F. Moura,et al. VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Richard Socher,et al. Ask Me Anything: Dynamic Memory Networks for Natural Language Processing , 2015, ICML.
[36] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Mario Fritz,et al. Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[38] Jason Weston,et al. End-To-End Memory Networks , 2015, NIPS.
[39] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[40] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[42] Mario Fritz,et al. A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input , 2014, NIPS.
[43] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[44] Yoshua Bengio,et al. On the Properties of Neural Machine Translation: Encoder–Decoder Approaches , 2014, SSST@EMNLP.
[45] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[46] Zhou Yu,et al. Compositional Attention Networks With Two-Stream Fusion for Video Question Answering , 2020, IEEE Transactions on Image Processing.
[47] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.