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Visual dialog is a task of answering a sequence of questions grounded in an image using the previous dialog history as context.
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Visual dialog
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José MF Moura, Devi Parikh, and Dhruv Batra. 2017 · 2017
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Guesswhat?! visual object discovery through multi-modal dialogue
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Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole. 2017 · 2017
Image-question-answer synergistic network for visual dialog
Dalu Guo, Chang Xu, and Dacheng Tao. 2019 · 2019
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Dual attention networks for visual reference resolution in visual dialog
Gi-Cheon Kang, Jaeseo Lim, and Byoung-Tak Zhang. 2019 · 2019
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Codraw: Collaborative drawing as a testbed for grounded goal-driven communication
Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, and Devi Parikh. 2019 · 2019
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Clevr-dialog: A diagnostic dataset for multi-round reasoning in visual dialog
Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, and Marcus Rohrbach. 2019 · 2019
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Recursive visual attention in visual dialog
Yulei Niu, Hanwang Zhang, Manli Zhang, Jianhong Zhang, Zhiwu Lu, and Ji-Rong Wen. 2019 · 2019
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Factor graph attention
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2017 · 2017
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Best of both worlds: Transferring knowledge from discriminative learning to a generative visual dialog model
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, and Dhruv Batra. 2017 · 2017
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Visual reference resolution using attention memory for visual dialog
Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, and Leonid Sigal. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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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 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Idan Schwartz, Seunghak Yu, Tamir Hazan, and Alexander G Schwing. 2019 · 2019
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Making history matter: History-advantage sequence training for visual dialog
Tianhao Yang, Zheng-Jun Zha, and Hanwang Zhang. 2019 · 2019
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Deep modular co-attention networks for visual question answering
Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, and Qi Tian. 2019 · 2019
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Reasoning visual dialogs with structural and partial observations
Zilong Zheng, Wenguan Wang, Siyuan Qi, and Song-Chun Zhu. 2019 · 2019
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History for visual dialog: Do we really need it?
Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas, and Verena Rieser. 2020 · 2020
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Modality-balanced models for visual dialogue
Hyounghun Kim, Hao Tan, and Mohit Bansal. 2020 · 2020
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Large-scale pretraining for visual dialog: A simple state-of-the-art baseline
Vishvak Murahari, Dhruv Batra, Devi Parikh, and Abhishek Das. 2020 · 2020
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Cut-based graph learning networks to discover compositional structure of sequential video data
Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, and Byoung-Tak Zhang. 2020 · 2020
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Two causal principles for improving visual dialog
Jiaxin Qi, Yulei Niu, Jianqiang Huang, and Hanwang Zhang. 2020 · 2020
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Attend what you need: Motion-appearance synergistic networks for video question answering
Ahjeong Seo, Gi-Cheon Kang, Joonhan Park, and Byoung-Tak Zhang. 2021 · 2021
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