Learning to Act Properly: Predicting and Explaining Affordances from Images
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Sanja Fidler | Antonio Torralba | Ching-Yao Chuang | Jiaman Li | A. Torralba | S. Fidler | Jiaman Li | Ching-Yao Chuang
[1] J. Gibson. The Ecological Approach to Visual Perception , 1979 .
[2] Yun Jiang,et al. Hallucinated Humans as the Hidden Context for Labeling 3D Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Fei-Fei Li,et al. Deep visual-semantic alignments for generating image descriptions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Ivan Laptev,et al. Joint Discovery of Object States and Manipulation Actions , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[5] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[6] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Min Sun,et al. Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Rada Mihalcea,et al. Mining semantic affordances of visual object categories , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Li Fei-Fei,et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Joan Bruna,et al. Spectral Networks and Locally Connected Networks on Graphs , 2013, ICLR.
[11] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[12] Li Fei-Fei,et al. Reasoning about Object Affordances in a Knowledge Base Representation , 2014, ECCV.
[13] Michael S. Ryoo,et al. Learning Social Affordance for Human-Robot Interaction , 2016, IJCAI.
[14] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[15] Luc Van Gool,et al. What makes a chair a chair? , 2011, CVPR 2011.
[16] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[17] Fei-Fei Li,et al. Discovering Object Functionality , 2013, 2013 IEEE International Conference on Computer Vision.
[18] Yi Li,et al. Fully Convolutional Instance-Aware Semantic Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Max Welling,et al. Semi-Supervised Classification with Graph Convolutional Networks , 2016, ICLR.
[20] Sanja Fidler,et al. Towards Diverse and Natural Image Descriptions via a Conditional GAN , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[21] Sanja Fidler,et al. 3D Graph Neural Networks for RGBD Semantic Segmentation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[22] Shane T. Barratt. InterpNET: Neural Introspection for Interpretable Deep Learning , 2017, ArXiv.
[23] Trevor Darrell,et al. Generating Visual Explanations , 2016, ECCV.
[24] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[25] Sanja Fidler,et al. MovieGraphs: Towards Understanding Human-Centric Situations from Videos , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[26] Bolei Zhou,et al. Scene Parsing through ADE20K Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Shuicheng Yan,et al. Semantic Object Parsing with Graph LSTM , 2016, ECCV.
[28] Danica Kragic,et al. Visual object-action recognition: Inferring object affordances from human demonstration , 2011, Comput. Vis. Image Underst..
[29] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Sanja Fidler,et al. Situation Recognition with Graph Neural Networks , 2018 .
[31] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.