Fetching the paper…
Reading the bibliography…
This paper proposes the progressive attention memory network (PAMN) for movie story question answering (QA).
Some mathematical notes on three-mode factor analysis
Ledyard R. Tucker · 1966
Earlier work this paper cites.
Adaptive subgradient methods for online learning and stochastic optimization
John Duchi, Elad Hazan, and Yoram Singer · 2011
Earlier work this paper cites.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Earlier work this paper cites.
Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
Earlier work this paper cites.
Ask your neurons: A neural-based approach to answering questions about images
Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz · 2015
Earlier work this paper cites.
Image question answering: A visual semantic embedding model and a new dataset
Mengye Ren, Ryan Kiros, and Richard Zemel · 2015
Earlier work this paper cites.
End-to-end memory networks
Sainbayar Sukhbaatar, arthur szlam, Jason Weston, and Rob Fergus · 2015
Earlier work this paper cites.
Memory networks
Jason Weston, sumit Chopra, and Antoine Bordes · 2015
Earlier work this paper cites.
Tensorflow: A system for large-scale machine learning
Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2016
Earlier work this paper cites.
Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
Earlier work this paper cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
Christian Szegedy, Sergey Ioffe, and Vincent Vanhoucke · 2016
Earlier work this paper cites.
MovieQA: Understanding Stories in Movies through Question-Answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler · 2016
Earlier work this paper cites.
Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, and Alex Smola · 2016
Cited alongside, same era.
Visual7w: Grounded question answering in images
Yuke Zhu, Oliver Groth, Michael Bernstein, and Li Fei-Fei · 2016
Cited alongside, same era.
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
Hedi Ben-younes, Remi Cadene, Matthieu Cord, and Nicolas Thome · 2017
Cited alongside, same era.
Attention-based multimodal fusion for video description
Chiori Hori, Takaaki Hori, Teng-Yok Lee, Ziming Zhang, Bret Harsham, John R. Hershey, Tim K. Marks, and Kazuhiko Sumi · 2017
Cited alongside, same era.
Tgif-qa: Toward spatio-temporal reasoning in visual question answering
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, and Gunhee Kim · 2017
Cited alongside, same era.
Uncovering the temporal context for video question answering
Linchao Zhu, Zhongwen Xu, Yi Yang, and Alexander G Hauptmann · 2017
Later among the works it cites.
Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
Later among the works it cites.
Stacked latent attention for multimodal reasoning
Haoqi Fan and Jiatong Zhou · 2018
Later among the works it cites.
Motion-appearance co-memory networks for video question answering
Jiyang Gao, Runzhou Ge, Kan Chen, and Ram Nevatia · 2018
Later among the works it cites.
Sat reading analysis using eye-gaze tracking technology and machine learning
Andrew Howe and Phong Nguyen · 2018
Later among the works it cites.
Pivot correlational neural network for multimodal video categorization
Sunghun Kang, Junyeong Kim, Hyunsoo Choi, Sungjin Kim, and Chang D. Yoo · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Lu Jiang, Junwei Liang, Liangliang Cao, Yannis Kalantidis, Sachin Farfade, and Alexander G Hauptmann · 2017
Cited alongside, same era.
Hadamard product for low-rank bilinear pooling
Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2017
Cited alongside, same era.
Deepstory: Video story qa by deep embedded memory networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi, and Byoung-Tak Zhang · 2017
Cited alongside, same era.
A read-write memory network for movie story understanding
Seil Na, Sangho Lee, Jisung Kim, and Gunhee Kim · 2017
Cited alongside, same era.
Dual attention networks for multimodal reasoning and matching
Hyeonseob Nam, Jung-Woo Ha, and Jeonghee Kim · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Multi-modal factorized bilinear pooling with co-attention learning for visual question answering, 2017
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao · 2017
Cited alongside, same era.
Later among the works it cites.
Multimodal dual attention memory for video story question answering
Kyung-Min Kim, Seong-Ho Choi, and Byoung-Tak Zhang · 2018
Later among the works it cites.
Tvqa: Localized, compositional video question answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara L Berg · 2018
Later among the works it cites.
Focal visual-text attention for visual question answering
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, and Alexander Hauptmann · 2018
Later among the works it cites.
Movie question answering: Remembering the textual cues for layered visual contents
Bo Wang, Youjiang Xu, Yahong Han, and Richang Hong · 2018
Later among the works it cites.
A joint sequence fusion model for video question answering and retrieval
Youngjae Yu, Jongseok Kim, and Gunhee Kim · 2018
Later among the works it cites.